Data Engineer Jobs in Montreal.
All active Data Engineer roles based in Montreal.
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AI GTM Engineer
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MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.
We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.
As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.
What you'll do:
- Partner with Marketing to Build & Launch Campaigns
- Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
- Translate campaign ideas into scalable systems, automations, and experiments
- Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
- Build Systems That Power Campaign Execution
- Develop tooling for programmatic landing pages, ad creative generation, and email workflows
- Enable marketers to launch campaigns faster through reusable systems and automation
- Balance speed (quick tests) with scalability (systems that can be reused)
- Embed AI into Marketing Workflows
- Partner with marketers to identify high-leverage use cases for AI in campaigns
- Build and deploy AI-driven systems for:
- Creative generation and testing
- Personalization across channels
- Outbound messaging and sequencing
- Turn one-off experiments into repeatable campaign infrastructure
- Own Experimentation with Marketing
- Co-design and implement experiments across paid, SEO, lifecycle, and web
- Build tooling to track performance, attribution, and testing outcomes
- Enable faster, data-driven iteration across campaigns
Audience, Segmentation & Personalization
- Partner with marketers to define target audiences and ICP segments
- Build systems to dynamically segment, enrich, and activate audiences across channels
- Enable real-time personalization across the funnel
- Marketing Data & Performance
- Ensure clean data flows from marketing channels into CRM and analytics systems
- Build dashboards and reporting layers for campaign performance and funnel metrics
- Improve visibility into CAC, conversion rates, and pipeline generation
What you’ll bring:
Technical Skills
- Strong programming ability (Python, JavaScript, or similar)
- Experience working with APIs, automation frameworks, and event-driven systems
- Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
- Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
- Experience deploying AI/LLM workflows into production
- Marketing Systems Experience
- Experience working closely with marketing teams to build and launch campaigns
- Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
- Experience building systems that directly support campaign execution and optimization
- Mindset
- Thinks like a marketer, builds like an engineer
- Optimizes for speed, iteration, and measurable impact
- Focused on pipeline and revenue outcomes, not just outputs
- Defaults to automation and scalable systems over manual work
About you:
- 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
- Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
- Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
- Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
- Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
- Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
- Strong analytical skills with experience in testing, attribution, and performance measurement.
- Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
What’s in it for you:
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrolment program.
- Take what you need PTO.
- A Work Culture where:
- You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
- We believe in meritocracy, where ideas and effort are publicly celebrated.
About us:
Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ready to apply?
Apply to MaintainX
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
The Corporate Workspace Technology area is currently hiring for the role of Senior Data Engineer for the modernization of tooling enablement function. As a Senior Data Engineer, you will be responsible for design, modeling, development and management of data warehouse objects in Snowflake data store utilizing effective data pipelines such as Talend, Informatica and APls.
The ideal candidate should have the skills listed below but in addition should be a self-driven, dedicated individual who works well in a team and thinks and acts strategically.
KEY RESPONSIBILITIES:
- Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.
- Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).
- Identify and optimize new/existing data workflows.
- Identify and implement data integrity practices.
- Integrate data governance and data science tools with Snowflake ecosystem as per practice.
- Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.
- Collaborate with team members to design and implement effective data workflows and transformations.
- Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costs.
- Contribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.
- Participate in code reviews and provide constructive feedback to improve team deliverables quality
- Design and develop data ingestion pipeline using Talend/Informatica using industry best practices.
- Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.
- Design, implement data distribution layer using Snowflake REST API.
Power BI, but could be informatics too
Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.
Minimum Degree Required:
- Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required
Ready to apply?
Apply to Kunai
MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
We’re growing fast and hiring the talent to match, with open roles for Implementation Consultants and Analysts in Montreal and Toronto, Canada, or Raleigh, North Carolina
What you’ll do:
- Lead customer interactions, communications, and identifying ways to get the most value out of the product.
- Serve as the client manager during implementation to understand their business operations, manage client expectations and ensure end-user satisfaction.
- Collaborate with software developers and engineers about requirements for API integration, data conversion, and business logic.
- Deliver formal training to client project team members and/or end-users.
- Provide knowledge transfer to internal team members throughout the onboarding process.
- Provide support by demonstrating knowledge of products, services, and best practices.
- Track and communicate client issues and proactively troubleshoot and resolve problems.
- Manage multiple accounts, deadlines, and milestones.
- Demonstrate industry knowledge and expertise through advice and recommendations and ability to communicate about client’s maintenance, operations, and management needs.
- Collaborate with internal colleagues on product, marketing, sales, account management, and other initiatives - past experience in one or more of these areas is a plus
About you:
- Relevant experience in one or more of the following: software implementation, customer onboarding, application engineer, business consulting, maintenance, reliability, operations, engineering, and/or construction.
- BEng degree or equivalent years of experience.
- Experience in manufacturing, industrial, maintenance, or similar space is a benefit.
- Excellent communication, presentation, facilitation, time management, and interpersonal skills.
- Excellent client relationship skills and ability to manage client expectations.
- Experience working with clients at multiple levels within the organization.
- Understanding of business requirements definition, review of functional specifications, user training, and deployment.
- Ability to manage multiple priorities and perform well in a fast-paced environment while maintaining a high level of quality and client satisfaction.
- Savvy with technology and capacity to become an expert in our software in a short period of time.
- Self-starter comfortable working with minimal oversight and tight deadlines.
- Membership in one or more professional organizations and/or professional certifications related to this role is a plus.
- Ability to learn the MaintainX product within 30 days to advise customers.
What’s in it for you:
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A Work Culture where:
- You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
- We believe in meritocracy, where ideas and effort are publicly celebrated.
About us:
Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ready to apply?
Apply to MaintainX
MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.
We’re growing fast and hiring the talent to match, with open roles for Implementation Consultants and Analysts in Montreal and Toronto, Canada, or Raleigh, North Carolina
What you’ll do:
- Lead customer interactions, communications, and identifying ways to get the most value out of the product.
- Serve as the client manager during implementation to understand their business operations, manage client expectations and ensure end-user satisfaction.
- Collaborate with software developers and engineers about requirements for API integration, data conversion, and business logic.
- Deliver formal training to client project team members and/or end-users.
- Provide knowledge transfer to internal team members throughout the onboarding process.
- Provide support by demonstrating knowledge of products, services, and best practices.
- Track and communicate client issues and proactively troubleshoot and resolve problems.
- Manage multiple accounts, deadlines, and milestones.
- Demonstrate industry knowledge and expertise through advice and recommendations and ability to communicate about client’s maintenance, operations, and management needs.
- Collaborate with internal colleagues on product, marketing, sales, account management, and other initiatives - past experience in one or more of these areas is a plus
About you:
- Relevant experience in one or more of the following: software implementation, customer onboarding, application engineer, business consulting, maintenance, reliability, operations, engineering, and/or construction.
- BEng degree or equivalent years of experience.
- Experience in manufacturing, industrial, maintenance, or similar space is a benefit.
- Excellent communication, presentation, facilitation, time management, and interpersonal skills.
- Excellent client relationship skills and ability to manage client expectations.
- Experience working with clients at multiple levels within the organization.
- Understanding of business requirements definition, review of functional specifications, user training, and deployment.
- Ability to manage multiple priorities and perform well in a fast-paced environment while maintaining a high level of quality and client satisfaction.
- Savvy with technology and capacity to become an expert in our software in a short period of time.
- Self-starter comfortable working with minimal oversight and tight deadlines.
- Membership in one or more professional organizations and/or professional certifications related to this role is a plus.
- Ability to learn the MaintainX product within 30 days to advise customers.
What’s in it for you:
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrolment program.
- Take what you need PTO.
- A Work Culture where:
- You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
- We believe in meritocracy, where ideas and effort are publicly celebrated.
About us:
Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ready to apply?
Apply to MaintainX
Senior Staff Engineer, MongoDB Developer Productivity
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The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely.
As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way.
Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices and data-informed decision making, this is the role for you.
Candidate Profile
- Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
- Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
- Strong understanding of DevOps culture and tooling
- Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
- Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
- Proven track record of driving technical execution and vision for organizations with 50+ team members
- Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams
Responsibilities
- Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
- Design software development systems to ensure best practices and champion industry standards
- Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
- Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
- Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth
Bonus points if the candidate has experience with:
- Strong systems fundamentals, including testing and monitoring multi-threaded systems
- Performance profiling of complex systems
- Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
- Experience supporting the development of database internals or core components for data processing systems
Success Measures
- In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
- In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
- In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
- In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273376291
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
Site Reliability Engineer (Senior or Staff), Storage Layer Services (SLS)
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MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.
You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.
This role can be based out of our Toronto or Montreal office or remotely in the Canada while physically based in an Eastern or Central time zone location.
The ideal candidate should
- Have 6+ years of experience working on software development and operating distributed systems
- Proficiency in Python, Go, or a similar language
- Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
- Possess a customer-focused mindset
- Value efficiency in processes and operations
- Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
- Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
- Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
- Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)
Responsibilities
- Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
- Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
- Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
- Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
- Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel
Strong candidates may also have experience with:
- Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
- Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
- Designing secure, multi-tenant runtime environments at scale
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 1273396252
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
Ready to apply?
Apply to MongoDB
Développeur(se) sénior des opérations de développement / Senior Developer Operations Engineer
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L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.
Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.
Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!
Ce que vous allez faire
- Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
- Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
- Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
- Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
- Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.
Ce que nous recherchons
- Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
- Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
- Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
- Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
- Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.
Vous avez peut-être également
- Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
- Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
- Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
- Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
- Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.
Information supplémentaire
- Le support à la relocalisation n’est pas disponible pour ce poste
- Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste
Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.
Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.
Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons
La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.
Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.
Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.
Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.
Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.
La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.
The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.
This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.
If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!
What you'll be doing
- Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
- Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
- Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
- Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
- Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.
What we're looking for
- Expertise with Kubernetes (GKE) and containerization technologies.
- Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
- Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
- Strong background working in a cloud environment (GCP, AWS, or Azure).
- Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.
You might also have
- Experience with developing or integrating AI/ML tooling.
- Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
- Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
- Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
- Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN #LI-SA1
Ready to apply?
Apply to Unity Technologies
Développeur(se) sénior des opérations de développement / Senior Developer Operations Engineer
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L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.
Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.
Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!
Ce que vous allez faire
- Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
- Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
- Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
- Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
- Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.
Ce que nous recherchons
- Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
- Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
- Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
- Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
- Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.
Vous avez peut-être également
- Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
- Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
- Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
- Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
- Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.
Information supplémentaire
- Le support à la relocalisation n’est pas disponible pour ce poste
- Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste
Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.
Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.
Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons
La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.
Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.
Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.
Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.
Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.
La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.
The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.
This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.
If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!
What you'll be doing
- Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
- Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
- Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
- Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
- Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.
What we're looking for
- Expertise with Kubernetes (GKE) and containerization technologies.
- Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
- Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
- Strong background working in a cloud environment (GCP, AWS, or Azure).
- Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.
You might also have
- Experience with developing or integrating AI/ML tooling.
- Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
- Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
- Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
- Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN #LI-SA1
Ready to apply?
Apply to Unity Technologies
Senior Back-End Developer
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The opportunity
At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem.
Our Vector AI team plays a crucial role in shaping the future of Unity’s monetization products. We are seeking a Senior Backend Engineer (Distributed Systems) to scale the next generation of high-scale inference systems for Unity Ads.
In this role, you will be responsible for designing, developing, and maintaining the backend infrastructure that powers our large-scale advertising models, with a focus on the performance, reliability, and scalability of inference systems. You will collaborate closely with machine learning research, product, and engineering teams to build and operate the critical services that support our advertising capabilities.
What you'll be doing
- Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference.
- Contribute significantly to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services.
- Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana.
- Partner cross-functionally with data science, product, and engineering teams to align platform capabilities with strategic business goals.
- Manage and optimize our cloud infrastructure (GCP) and orchestrate workloads with Kubernetes.
- Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE).
What we're looking for
- Background in Software Engineering or a related technical field.
- Extensive hands-on experience designing, deploying, and maintaining distributed systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes.
- Expertise in Golang for building high-performance, low-latency systems and infrastructure.
- Deep experience with monitoring and observability tools (e.g., Prometheus, Grafana).
- Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices.
- Excellent communication and collaboration skills, with an ability to articulate technical concepts to both technical and non-technical audiences.
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN
*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.
Ready to apply?
Apply to Unity Technologies
Software Engineer, iOS Core Product - Montreal, Canada
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Opportunity to lead key engineering and product decisions
- Actively shipping production code for the Speechify iOS app
- Work within a dedicated product team
- Participate in product discussions to shape the product roadmap
- Maintain and enhance the existing complex app architecture
An Ideal Candidate Should Have
- Experience. You've worked on products that scaled to a large user base
- Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
- Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
- Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
- Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Technical skills. Swift, SwiftUI
Technical Requirements:
- Swift Programming Language
- SwiftUI experience
- Experience in Multithreading Programming
- Working with CI/CD infrastructure
- Experience with Fastlane
- SOLID principles, the ability to write every single class according to SOLID
- Experience with Git and understanding of different Git strategies
What We offer:
- A fast-growing environment where you can help shape the company and product
- An entrepreneurial crew that supports risk, intuition, and hustle
- The opportunity to make a big impact in a transformative industry
- A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
- Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
- Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
- Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Software Engineer, Core Experiences - Montreal, Canada
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Mission
Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.
Overview
We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.
What You’ll Do
- Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
- Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
- Ship cloud functions, lightweight backend services, and jobs using Kotlin
An Ideal Candidate Should Have
- Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
- Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
- Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
- Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
- Preferred Tech Stack:
- Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)
- Prior experience with GCP is a plus
What We Offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Software Engineer, Windows/Desktop Applications - Montreal, Canada
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies
- Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++.
- Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability.
- Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities.
- Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform.
- Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases.
- Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions.
Required:
- 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
- Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
- Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
- Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
- Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
- Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
- Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
- A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.
Preferred / Bonus:
- Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
- Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
- Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
- Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
- Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
- Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.
What we offer
- A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
- A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
- Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
- Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
- A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Data Infrastructure & Acquisition - Montreal, Canada
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Tech Lead, Android Core Product - Montreal, Canada
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its Design award winner for inclusivity for 2025.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
- Shape the future of our Android team
- Own, maintain and improve reliability metrics for key features
- Participate in discussions across different teams - Product, Design, Engineering
- Review pull requests, and support other teammates
- Handle critical issues or cope with unexpected challenges
- Take ownership of feature releases and provide nightly builds for the QA team
An Ideal Candidate Should Have
- 5+ years of software engineering experience
- Familiarity with Android components
- Experience building or contributing to at least one Android app
- Product design intuition and user empathy
- Drive to push the boundaries of Android UI/UX
- Understanding of the importance of tests and how to approach writing tests
- Self-drive to improve the app and codebase above and beyond what's outlined in the spec
- Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
- Excellent communication skills
- User oriented problem solving approach
- Driven with continuous feedback from leaders
Bonus:
- Experience building, maintaining, or otherwise contributing to open source projects in Android
- Experience with iOS, Web or NodeJS
Technologies we use:
- Kotlin
- Kotlin Coroutines
- Kotlin Flow
- Jetpack Navigation
- Dagger 2
- Room
- Custom Views, Canvas & Paint
- Jetpack Compose
- JUnit
What We offer:
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Platform - Montreal, Canada
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
What You’ll Do
- Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
- Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
- Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
- Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience
An Ideal Candidate Should Have
- Proven experience in backend development: TS/Node (required)
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
- Preferred: Experience with Docker and containerized deployments
- Preferred: Proficiency in deploying high availability applications on Kubernetes
What We Offer
- A dynamic environment where your contributions shape the company and its products
- A team that values innovation, intuition, and drive
- Autonomy, fostering focus and creativity
- The opportunity to have a significant impact in a revolutionary industry
- Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
- The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
- An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Senior Software Engineer — Diagnostics Team
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The opportunity
Developing the Unity platform means designing, building, testing, and maintaining the systems that empower developers to ship and operate live games at scale. The Diagnostics team sits inside Unity's LiveOps umbrella and is responsible for the data that tells creators how their games are actually behaving in the wild — crash reports from the Unity runtime, telemetry and observability across customer projects, product health analysis, and the Unity Dashboard surfaces that put that data back in developers' hands.
We are seeking a Senior Software Developer to join the Diagnostics team as a backend-leaning generalist. You will lead end-to-end design across our stack — ingest from millions of game clients, pipelines built on OpenTelemetry, a ClickHouse-based data lake, and the dashboard surfaces customers depend on — and you will partner closely with the Data, IAP, Profiler, and DevX teams on the integrations that make Diagnostics useful. Our stack is Go (primary), Kotlin, TypeScript, and C#. This is a small, autonomous team where senior judgment compounds: you will shape how the team designs, reviews, and ships, including how we work with agentic AI tools as a core part of the craft.
What you'll be doing
- Lead end-to-end design across ingest, pipelines, ClickHouse storage and query, and the dashboards developers rely on.
- Write and maintain high-quality Go services that handle attacker-controlled inputs at scale, with strong attention to reliability, performance, and clean data contracts.
- Raise the bar on code review and AI-assisted output review — set the norms the team uses when shipping work alongside coding agents.
- Partner across teams (Data, IAP, Unity Profiler, DevX, Analytics) to design integrations that hold up under real production load and real customer needs.
- Mentor engineers across the team, share patterns broadly, and decompose ambiguous problems into the highest-value path forward.
What we're looking for
- Production experience with Go in high-throughput services, plus comfort moving across a backend-leaning generalist surface (ingest, pipelines, OLAP/columnar storage and query, dashboards when needed).
- Demonstrated senior-level judgment: a track record of leading cross-cutting design, raising the engineering bar, and mentoring peers and ICs around you.
- Real, hands-on fluency with agentic AI workflows — you have used coding agents (Claude Code, Codex, Cursor agent mode, Gemini CLI, or similar) on real work, formed informed opinions about their trade-offs, and built harnesses, prompts, or sub-agents that hold up under variance. You review model output as rigorously as PR code, and can defend any line of it in your own words.
- Experience designing for and querying NoSQL or OLAP/columnar data stores (ClickHouse a plus), and a working understanding of data pipelines end to end.
- Excellent collaboration and communication, with the ability to work effectively across teams and time zones.
You might also have
- Genuine interest or experience in observability and telemetry (OpenTelemetry especially) — this is our bread and butter.
- Front-end experience with TypeScript and contributions to dashboard-style surfaces. Backend is the primary lens for this role; front-end capability is a welcome bonus, not a daily expectation.
- Production experience with Kotlin, or C# exposure on the engine side.
- Gaming background — context for how developers consume diagnostics, what game performance and profiling actually mean to them.
- Habits around handling user data responsibly: thinking about trust boundaries, retention, hygienic logging (no PII, no tokens, no full payloads), and threat-modeling features before writing them.
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN
*Note: Certain locations require a good faith disclosure of the base salary range for the role. The actual salary for the successful candidate may differ based on location, experience, and other job-related factors.
Ready to apply?
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DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
We are looking for an HPC Specialist to join our AI and Multi Asset Systematic Strategies team. This team builds and operates GPU infrastructure that powers AI and ML workloads. You'll work on the infrastructure stack from bare metal to model serving, combining systems engineering, performance optimization, and infrastructure automation to solve complex problems at the intersection of hardware, networking, and distributed systems.
Responsibilities:
- Deploy, maintain, and optimize GPU infrastructure for large-scale LLM inference workloads, including provisioning, configuration, and deployment of GPU server fleets.
- Architect and implement distributed serving solutions for multi-node, multi-GPU model deployments.
- Manage GPU-enabled Kubernetes clusters for LLM and ML workloads.
- Configure network infrastructure including load balancers, firewalls, and inter-node communication for GPU clusters.
- Implement and optimize storage solutions for model weights and inference caches.
- Troubleshoot performance bottlenecks across the stack: hardware, drivers, networking, and application layer.
- Research and evaluate emerging GPU technologies, model serving frameworks, and infrastructure optimizations.
- Collaborate with ML engineers to profile model performance and implement inference acceleration techniques.
- Drive reliability improvements through monitoring, alerting, capacity planning, and incident response.
Requirements:
- Bachelor's or Master's degree in Computer Science, Systems Engineering, or related field.
- 5+ years in DevOps, SRE, or infrastructure engineering roles.
- Strong experience with GPU infrastructure, model serving frameworks (vLLM, SGLang), and GPU driver management.
- Hands-on experience optimizing deep learning workloads (inference or training) on GPU clusters.
- Deep Linux systems knowledge including network configuration, storage optimization, and Kubernetes orchestration.
- Experience with infrastructure as code tools (Ansible, Terraform, or similar).
- Strong understanding of distributed systems, networking protocols (TCP/IP, HTTP/2), and load balancing.
- Proficiency in Python and Bash scripting for automation.
- Experience with monitoring and observability tools (Prometheus, Grafana, or similar).
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
[#LI-KS1]
Ready to apply?
Apply to DRWAre you looking to thrive in a stimulating work environment?
Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.
About the Role
We are seeking Senior Java Engineer for a major project in the banking industry in Montreal. This position is in hybrid mode in Montreal (3 days/week).
Why Join Levio?
- Work on complex, high impact digital transformation projects
- Collaborate with experienced, multidisciplinary teams
- Continuously develop your technical and professional expertise
- Enjoy flexibility, autonomy, and a strong people first culture
- Be part of an organization that values diversity, inclusion, and innovation
Role and Responsibilities
- Design, develop, and maintain a reusable, testable, high-performance platform that supports multiple Lending business lines.
- Build Spring Boot microservices and REST APIs; implement robust data access layers.
- Apply best practices in code reviews, automated testing, and SDLC execution.
- Collaborate with global, cross-functional teams to deliver end-to-end solutions and contribute to Agile ceremonies.
- Ensure quality, security, and compliance standards in all development activities.
- Independently drive technical initiatives and provide technical advice
Qualifications and Experience
- 7+ years of hands-on experience building Java 11+ services with Spring Boot and secured RESTful microservices.
- Strong expertise in relational or document databases (SQL, MongoDB, ES, or similar).
- Hands-on experience with AI developer productivity tooling (e.g., GitHub Copilot, Amp, or similar).
- Excellent English communication skills (verbal and written).
- Proven problem-solving and analytical ability.
- Solid understanding of software development lifecycle and Agile methodologies.
- Fluent in English
Benefits and Work Environment
Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:
- 4 weeks of cumulative vacation starting from day one
- Flexible working hours
- Professional Development Allowance (PDA) for training, computer equipment, and physical activities
- Training tailored to your areas of expertise
- Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary
- Modular group insurance plan
- Public transportation or parking reimbursement when required
- Referral bonuses
- 11 statutory holidays
- Personal days
- An active social life (5to7 events, social club, healthy snacks, coffee, and more)
Position Details
- Employment type: Full time, permanent
Employment Equity
Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities.
We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.
Ready to apply?
Apply to Levio
Concevoir, développer et optimiser des modèles d’apprentissage automatique qui alimentent les décisions fondées sur les données
Le rôle
Nous sommes à la recherche d’un ingénieur en apprentissage automatique pour se joindre à une équipe collaborative qui livre des solutions avancées d’analytique et d’IA dans le secteur des services financiers. Ce rôle met l’accent sur le cycle de vie complet des modèles d’apprentissage automatique — de la développement et l’expérimentation au déploiement, à la surveillance et à l’amélioration continue — ainsi que sur l’application de techniques d’IA générative.
Ce que vous ferez
- Concevoir, développer et maintenir des modèles d’apprentissage automatique pour résoudre des problèmes d’affaires critiques
- Assumer des responsabilités clés dans le cycle de vie des modèles, notamment l’ingénierie des caractéristiques, l’ajustement, l’évaluation et la calibration
- Appliquer l’analytique prédictive et des techniques de conception de requêtes pour extraire des insights à partir de jeux de données complexes
- Effectuer des tests de modèles, des benchmarks et un suivi continu de la performance
- Collaborer avec les parties prenantes pour traduire les besoins d’affaires en solutions d’AA évolutives
Ce que nous recherchons
- Plus de 5 ans d’expérience dans des rôles en apprentissage automatique ou en science des données
- Excellentes compétences en développement Python avec expérience pratique de la création de modèles d’AA
- Solide compréhension des concepts d’apprentissage automatique, du cycle de vie des modèles et des meilleures pratiques
- Expérience avec les grands modèles de langage (LLM), l’IA générative et la conception de requêtes
- Solides compétences analytiques et en communication, avec la capacité de travailler auprès des équipes techniques et d’affaires
Atouts
- Expérience en gestion de patrimoine ou dans les services financiers (souhaitée, mais non obligatoire)
- Connaissance du déploiement, de la surveillance et du réentraînement de modèles en environnements de production
- Expérience avec des plateformes d’AA infonuagiques ou des solutions de données évolutives
- Expérience avec des outils d’automatisation ou d’optimisation des flux de travail
- Expérience de travail au sein d’équipes agiles ou interfonctionnelles
- Maîtrise du français et de l’anglais
- Étant donné que la majorité de nos clients et collègues sont situés à l’extérieur du Québec et du Canada, des exigences linguistiques particulières peuvent s’appliquer et une maîtrise professionnelle de l’anglais est requise.
Pourquoi joindre Capco
- Livrer des solutions technologiques à fort impact pour des institutions financières de premier ordre
- Travailler dans une culture de consultation collaborative, horizontale et entrepreneuriale
- Accéder à de la formation continue, du perfectionnement et à des certifications reconnues dans l’industrie
- Faire partie d’une équipe qui façonne l’avenir des services financiers numériques
- Contribuez à façonner l’avenir de la transformation numérique dans les secteurs des services financiers et de l’énergie
Nous offrons un régime d’avantages sociaux concurrentiel et axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :
Avantages
- Couverture d’avantages complète – assurance santé, vie et invalidité entièrement payée par l’entreprise, en vigueur dès le premier jour d’emploi
- Programme d’épargne-retraite – Régime enregistré d’épargne-retraite (REER) avec option de cotisation de l’employeur
- Soins de santé virtuels – Programme payé par l’entreprise pour les employés et leurs personnes à charge
- Programme d’aide aux employés et à leur famille (PAEF) – Services de soutien confidentiels
- Soutien au mieux-être – Remboursement d’activités de mise en forme pour soutenir le bien-être
Transparence salariale
La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.
Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.
CAD $118000 - CAD $152000
Utilisation de l’intelligence artificielle dans l’acquisition de talents
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.
Pourquoi ce poste est ouvert
Nous recrutons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins d’affaires continus, et nous examinons activement les candidatures afin de pourvoir ce rôle avec une personne qualifiée qui pourra avoir un impact immédiat.
Inclusion chez Capco
Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin d’aménagements à n’importe quelle étape, faites-le-nous savoir — nous serons heureux de vous aider. Nous valorisons la perspective et la contribution uniques de chaque personne. Chez Capco, nous croyons qu’être soi-même est votre plus grande force. Notre culture #BeYourselfAtWork encourage l’individualité et la collaboration — un état d’esprit qui façonne notre façon de travailler avec nos clients et entre nous, chaque jour.
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.
Design, build, and optimize machine learning models that power data-driven decisions
The Role
We are seeking a Machine Learning Engineer to join a collaborative team delivering advanced analytics and AI solutions within financial services. This role focuses on the full lifecycle of machine learning models—from development and experimentation to deployment, monitoring, and continuous improvement—alongside the application of generative AI techniques.
What You’ll Do
- Design, develop, and maintain machine learning models to solve business-critical problems
- Own key aspects of the model lifecycle including feature engineering, tuning, evaluation, and calibration
- Apply predictive analytics and prompt engineering techniques to extract insights from complex datasets
- Perform model testing, benchmarking, and ongoing performance monitoring
- Collaborate with stakeholders to translate business requirements into scalable ML solutions
What We’re Looking For
- 5+ years of experience in machine learning or data science roles
- Proficient Python development skills with hands-on experience building ML models
- Strong understanding of machine learning concepts, model lifecycle, and best practices
- Experience with large language models (LLMs), generative AI, and prompt engineering
- Solid analytical and communication skills, with the ability to work across technical and business teams
Bonus Points For
- Experience in wealth management or financial services (preferred but not required)
- Familiarity with model deployment, monitoring, and retraining in production environments
- Experience with cloud-based ML platforms or scalable data solutions
- Exposure to workflow automation or optimization tools
- Experience working in agile or cross-functional teams
- Proficiency in French and English
- Given the majority of our clients and colleagues are located outside of Quebec and Canada, specific language requirements may apply and professional proficiency in English is required.
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Benefits
- Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
- Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of employer contribution
- Virtual Health Care – Company-paid program for employees and their dependents
- Employee & Family Assistance Program (EFAP) – Confidential support services
- Wellness Support – Fitness reimbursement to support wellbeing
Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
#LI-Hybrid
Pay Transparency
The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.
Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.
Ready to apply?
Apply to CapcoConcevoir et bâtir des solutions axées sur l’IA qui propulsent la prochaine génération de plateformes d’entreprise intelligentes.
Le poste
À titre d’ingénieur en IA, vous concevrez et développerez des solutions axées sur l’IA qui améliorent les plateformes numériques et permettent une prise de décision intelligente dans les environnements d’entreprise. En vous appuyant sur votre solide expérience en ingénierie logicielle, vous appliquerez des approches modernes en IA pour créer des systèmes évolutifs, adaptables et performants. Vous travaillerez en étroite collaboration avec des équipes interfonctionnelles, notamment Produit, Architecture et Ingénierie, afin de livrer des solutions innovantes alignées sur les besoins des clients.
Ce que vous ferez
- Concevoir et développer des applications et des services axés sur l’IA, en mettant à profit votre expertise de base en ingénierie logicielle
- Appliquer des approches modernes en IA/AA pour améliorer les capacités des systèmes et permettre l’automatisation intelligente
- Collaborer avec des équipes interfonctionnelles pour aligner les solutions d’IA sur les exigences commerciales et opérationnelles
- Contribuer à la conception des systèmes, à l’architecture et à l’intégration des composants d’IA dans les plateformes d’entreprise
- Soutenir l’amélioration continue par l’expérimentation, les tests et l’optimisation des performances des solutions d’IA
Ce que nous recherchons
- 5 à 8 ans d’expérience en développement logiciel dans divers langages de programmation modernes
- Transition démontrée vers la conception et le développement axés sur l’IA, avec application des concepts d’IA/AA à des solutions concrètes
- Solide compréhension des principes de conception axés sur l’IA et du développement de systèmes évolutifs
- Capacité à évaluer et à appliquer les technologies appropriées en fonction du contexte du problème
- Excellentes aptitudes en communication et capacité à collaborer avec des équipes techniques et non techniques
Atouts supplémentaires
- Expérience de travail avec des plateformes infonuagiques (p. ex., Azure) pour le déploiement de solutions d’IA
- Connaissance des pratiques MLOps et de la gestion du cycle de vie des modèles d’IA
- Expérience d’intégration de solutions d’IA dans des environnements d’entreprise ou de services financiers
- Expérience en ingénierie des données, en pipelines de données ou en traitement de données à grande échelle
- Compréhension de l’IA responsable, de la gouvernance des modèles et des pratiques éthiques en matière d’IA
- Maîtrise du français et de l’anglais
- Étant donné que la majorité de nos clients et collègues sont situés à l’extérieur du Québec et du Canada, des exigences linguistiques particulières peuvent s’appliquer et une maîtrise professionnelle de l’anglais est requise.
Pourquoi rejoindre Capco
- Livrer des solutions technologiques à fort impact pour des institutions financières de premier ordre
- Travailler dans une culture de consultation collaborative, horizontale et entrepreneuriale
- Accéder à de la formation continue, à de l’apprentissage et à des certifications de l’industrie
- Faire partie d’une équipe qui façonne l’avenir des services financiers numériques
- Aider à façonner l’avenir de la transformation numérique dans les services financiers et l’énergie.
Utilisation de l’intelligence artificielle dans l’acquisition de talents
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour soutenir et améliorer plusieurs volets de l’acquisition de talents. Cela inclut l’utilisation de fonctions compatibles avec l’IA dans LinkedIn pour aider à repérer des candidats potentiels, accélérer les communications de recrutement courantes comme les courriels et créer des offres d’emploi convaincantes, alignées sur la marque et reflétant avec exactitude les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil de soutien. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.
Pourquoi ce poste est ouvert
Nous recrutons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins opérationnels continus, et nous examinons activement les candidatures afin de pourvoir ce poste avec une personne qualifiée qui pourra avoir un impact immédiat.
Nous offrons un ensemble d’avantages concurrentiel et axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :
Avantages
- Couverture d’avantages complète – Assurance santé, vie et invalidité payée à 100 % par l’entreprise, en vigueur dès le premier jour d’emploi
- Régime d’épargne-retraite – Régime enregistré d’épargne-retraite (REER) avec option de cotisation de contrepartie de l’employeur
- Soins de santé virtuels – Programme payé par l’entreprise offert à tous les employés et à leurs personnes à charge/conjoints
- Programme d’aide aux employés et à leur famille (PAEF) – Services de soutien payés par l’entreprise pour les employés et leurs personnes à charge/conjoints
- Cadeau pour nouveau parent – Cadeau offert par l’entreprise pour célébrer l’arrivée d’un nouvel enfant
- Soutien au mieux-être – Remboursement des frais de conditionnement physique pour favoriser la santé et le bien-être
- Coach d’affaires dès le premier jour : Encadrement personnalisé en tête-à-tête pour soutenir l’évolution de carrière, accélérer le développement et aider à atteindre vos objectifs professionnels chez Capco.
L’inclusion chez Capco
Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin d’un accommodement à n’importe quelle étape, faites-le-nous savoir — nous serons heureux de vous aider. Nous valorisons le point de vue et la contribution uniques de chaque personne. Chez Capco, nous croyons qu’être soi-même est votre plus grande force. Notre culture #SoyezVousMêmeAuTravail encourage l’individualité et la collaboration — un état d’esprit qui façonne la façon dont nous travaillons avec nos clients et entre nous chaque jour.
Transparence salariale
La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.
Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.
CAD $118000 - CAD $152000
Design and build AI-first solutions that power the next generation of intelligent enterprise platforms.
The Role
As an AI Engineer, you will design and develop AI-first solutions that enhance digital platforms and enable intelligent decision-making across enterprise environments. Building on your strong software engineering background, you will apply modern AI approaches to create scalable, adaptable, and high-performing systems. You will work closely with cross-functional teams including Product, Architecture, and Engineering to deliver innovative solutions aligned to client needs.
What You’ll Do
- Design and develop AI-first applications and services, leveraging your core software engineering expertise
- Apply modern AI/ML approaches to enhance system capabilities and enable intelligent automation
- Collaborate with cross-functional teams to align AI solutions with business and operational requirements
- Contribute to system design, architecture, and integration of AI components into enterprise platforms
- Support continuous improvement through experimentation, testing, and performance optimisation of AI solutions
What We’re Looking For
- 5–8 years of software development experience across modern programming languages
- Demonstrated transition into AI-focused design and development, applying AI/ML concepts in real-world solutions
- Strong understanding of AI-first design principles and scalable system development
- Ability to evaluate and apply appropriate technologies based on problem context
- Strong communication skills with the ability to collaborate across technical and non-technical teams
Bonus Points For
- Experience working with cloud platforms (e.g., Azure) for AI solution deployment
- Familiarity with MLOps practices and lifecycle management of AI models
- Experience integrating AI solutions into enterprise or financial services environments
- Exposure to data engineering, data pipelines, or large-scale data processing
- Understanding of responsible AI, model governance, and ethical AI practices.
- Proficiency in French and English
- Given the majority of our clients and colleagues are located outside of Quebec and Canada, specific language requirements may apply and professional proficiency in English is required.
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy.
Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Benefits
- Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
- Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution
- Virtual Health Care – Company-paid program available to all employees and their dependents/partners
- Employee & Family Assistance Program (EFAP) – Company-paid support services for employees and their dependents/partners
- New Parent Gift – A company-sponsored gift to celebrate the arrival of a new child
- Wellness Support – Fitness reimbursement benefit to promote health and well-being
- Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at Capco.
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
#LI-hybrid
Pay Transparency
The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.
Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.
Ready to apply?
Apply to CapcoMener une transformation d’infrastructure à grande échelle dans des environnements des marchés des capitaux
Le rôle
Nous soutenons un client des marchés des capitaux dans le cadre d’une initiative critique de renouvellement et de modernisation du matériel. À titre d’ingénieur DevOps senior, vous jouerez un rôle clé dans la livraison d’une transformation d’infrastructure de bout en bout — de la découverte et l’évaluation comparative jusqu’au déploiement et à la validation. Vous travaillerez au sein d’équipes interfonctionnelles afin d’assurer l’exécution harmonieuse des activités de renouvellement du matériel, tout en améliorant l’efficacité opérationnelle et la performance.
Ce que vous ferez
- Diriger les activités de découverte et produire une documentation complète sur l’état actuel ainsi que des cartes de processus
- Définir des cadres d’évaluation comparative et établir des indicateurs clés de performance (KPI) pour mesurer la performance et le succès de l’infrastructure
- Soutenir les initiatives de renouvellement du matériel, y compris l’analyse des stocks et la planification
- Superviser le déploiement des environnements, la mise à disposition du matériel et l’installation du système d’exploitation
- Piloter la configuration des serveurs, le déploiement des applications et la validation afin d’assurer la préparation à la production
Ce que nous recherchons
- Expérience démontrée dans des rôles de DevOps, d’ingénierie d’infrastructure ou d’ingénierie de plateforme dans des environnements complexes
- Solide connaissance des cycles de renouvellement du matériel, de la mise à disposition des serveurs et du déploiement de systèmes d’exploitation (Linux/Windows)
- Expérience avec les déploiements d’environnements, la gestion de la configuration et les outils d’automatisation des déploiements
- Capacité à documenter les processus, à analyser les environnements à l’état actuel et à définir des KPI mesurables
- Maîtrise du français et de l’anglais. Étant donné que la vaste majorité de nos clients, tant internes qu’externes, sont situés à l’extérieur du Québec et du Canada, des exigences linguistiques précises peuvent s’appliquer. Une maîtrise professionnelle de l’anglais est requise.
Atouts supplémentaires
- Expérience dans les environnements des marchés des capitaux ou des services financiers
- Familiarité avec les programmes de mise à niveau d’infrastructure à grande échelle
- Exposition aux plateformes infonuagiques (AWS, Azure, GCP) et aux modèles d’infrastructure hybride
- Connaissance des pipelines CI/CD et des pratiques d’infrastructure en tant que code (p. ex. Terraform, Ansible)
- Expérience dans des rôles de consultation ou de prestation en contact avec la clientèle
Pourquoi se joindre à Capco
- Livrer des solutions technologiques à fort impact pour des institutions financières de niveau 1
- Travailler dans une culture de consultation collaborative, horizontale et entrepreneuriale
- Accéder à de la formation continue, à des occasions d’apprentissage et à des certifications de l’industrie
- Faire partie d’une équipe qui façonne l’avenir des services financiers numériques
- Aider à façonner l’avenir de la transformation numérique dans les services financiers et l’énergie
Nous offrons un ensemble d’avantages concurrentiel, axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :
Avantages
- Couverture complète des avantages – assurance maladie, assurance vie et assurance invalidité entièrement payées par l’entreprise dès le premier jour d’emploi
- Programme d’épargne-retraite – Régime enregistré d’épargne-retraite (REER) avec options de cotisation équivalente de l’employeur
- Soins de santé virtuels – Programme payé par l’entreprise offert aux employés et à leurs personnes à charge/conjoints
- Complément de congé parental – Avantages bonifiés de congé parental offerts dès le premier jour d’emploi
- Soutien au mieux-être – Remboursement des frais de conditionnement physique pour favoriser la santé et le bien-être
Inclusion chez Capco
Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin de mesures d’adaptation à n’importe quelle étape, faites-le-nous savoir – nous serons heureux de vous aider. Nous valorisons la perspective et la contribution uniques de chaque personne. Chez Capco, nous croyons que le fait d’être soi-même est votre plus grande force. Notre culture #SoyezVousMêmesAuTravail encourage l’individualité et la collaboration – un état d’esprit qui façonne notre façon de travailler avec nos clients et entre nous chaque jour.
Utilisation de l’intelligence artificielle dans l’acquisition de talents
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour soutenir et améliorer plusieurs aspects de l’acquisition de talents. Cela inclut l’utilisation de fonctions optimisées par l’IA dans LinkedIn pour aider à trouver des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’affichages de postes convaincants et alignés sur la marque qui reflètent fidèlement les exigences du poste, ainsi que des applications de planification alimentées par l’IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil de soutien. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.
Pourquoi ce poste est ouvert
Nous embauchons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins d’affaires en cours, et nous examinons activement les candidatures afin de pourvoir ce poste avec un candidat qualifié qui pourra avoir un impact immédiat.
Transparence salariale
La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.
Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.
CAD $118000 - CAD $152000
Drive large-scale infrastructure transformation across capital markets environments
The Role
We are supporting a capital markets client through a critical hardware refresh and modernization initiative. As a Senior DevOps Engineer, you will play a key role in delivering end-to-end infrastructure transformation—from discovery and benchmarking through to deployment and validation. You will work across cross-functional teams to ensure seamless execution of hardware refresh activities while enhancing operational efficiency and performance.
What You’ll Do
- Lead discovery activities and produce comprehensive current state documentation and process maps
- Define benchmarking frameworks and establish KPIs to measure infrastructure performance and success
- Support hardware refresh initiatives, including inventory analysis and planning
- Oversee environment deployment, hardware provisioning, and operating system installation
- Drive server configuration, application deployment, and validation to ensure production readiness
What We’re Looking For
- Proven experience in DevOps, infrastructure engineering, or platform engineering roles within complex environments
- Strong knowledge of hardware refresh cycles, server provisioning, and OS deployment (Linux/Windows)
- Experience with environment buildouts, configuration management, and deployment automation tools
- Ability to document processes, analyze current state environments, and define measurable KPIs
- This role requires fully bilingual proficiency in French and English - written and verbal. French is required to support clients in Quebec, and English is used for collaboration across Capco’s global organization.
Bonus Points For
- Experience within capital markets or financial services environments
- Familiarity with large-scale infrastructure upgrade programs
- Exposure to cloud platforms (AWS, Azure, GCP) and hybrid infrastructure models
- Knowledge of CI/CD pipelines and infrastructure-as-code practices (e.g., Terraform, Ansible)
- Experience working in consulting or client-facing delivery roles
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
We offer a competitive, people-first benefits package designed to support every aspect of your life:
Benefits
- Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
- Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with employer contribution matching options
- Virtual Health Care – Company-paid program available to employees and their dependents/partners
- Parental Leave Top-Up – Enhanced parental leave benefits available from Day 1 of employment
- Wellness Support – Fitness reimbursement benefit to promote health and well-being
Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.
Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.
Pay Transparency
The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.
Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.
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Apply to Capco
Senior Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Lead Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior, Machine Learning Engineer - Camera Model
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About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.
Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.
This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.
What You’ll Do
- Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
- Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
- Write production-quality ML code to support scalable training, evaluation, and inference pipelines
- Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
- Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
- Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
- Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
- Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
- Contribute to model architecture decisions and technical discussions within the team
- Mentor junior engineers on implementation, debugging, and best practices
What You’ll Need to Succeed
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
- Experience developing and deploying deep learning models for computer vision or perception systems
- Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
- Experience training and evaluating models using large-scale datasets and distributed compute environments
- Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)
- Experience debugging model behavior, analyzing performance metrics, and improving model reliability
- Ability to translate ambiguous problems into structured ML solutions and deliver independently
- Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems
Bonus Points:
- Experience in autonomous driving, robotics, or simulation-based ML systems
- Experience with multi-task learning or unified perception architectures
- Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
- Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
- Experience deploying ML models into production or real-world robotics systems
Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.
Perks of Being a Full-time Torc’r (Canada)
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- Medical, dental, and vision for full-time employees
- RRSP plan with a 6% employer match
- Public Transit Subsidy (Montreal area only)
- Flexibility in schedule and generous paid vacation
- Company-wide holiday office closures
- Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102584
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Apply to Torc Robotics
About Behavox
Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.
At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.
Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.
Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.
About the Role
The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.
At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.
What You'll Bring
- Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
- Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
- Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
- Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
- AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory
What You'll Do
- Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
- Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
- Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
- Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
- AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability
What We Offer
- The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
- A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
- A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
- Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
- A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance
About Our Process
Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.
As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.
We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.
Please note the following:
- A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
- Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.
Ready to apply?
Apply to Behavox
Senior Applied Scientist, Scheduling and Optimization
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MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.
We're looking for a Senior Software Engineer to own the constraint-solving engine behind our Scheduling Agent, one of the most strategic bets on our Planning & Scheduling roadmap. The engine is a Python service built on CP-SAT that takes work orders, technicians, and a mix of hard and soft constraints, and produces a feasible weekly schedule that enterprise maintenance teams can trust. Your focus will be evolving the solver to handle increasingly complex, real-world scheduling scenarios and exposing it as tools for GenAI agent workflows.
This is a high-ownership role. You'll have the space to shape the modeling approach, partner closely with product and design on what scheduler users actually need, and ship iteratively against feedback from real enterprise customers.
What you'll do
- Own and evolve the Python optimization service that powers the Scheduling Agent, modeling, solving, and iterating on the constraint formulation as new use cases emerge.
- Design and implement increasingly sophisticated scheduling capabilities: trade and crew constraints, irregular capacity patterns, production downtime windows, multi-site considerations, and reactive re-scheduling.
- Build and maintain API routes and tools that expose the solver to GenAI agent workflows (tool calling, structured input/output).
- Partner with PM and design to translate messy real-world scheduling problems into solver constraints, and push back when "optimal" isn't what users actually want.
- Iterate the solver with real users via design partnerships and pilot deployments. Take feedback from human schedulers seriously and reflect it back into the model.
- Contribute to the surrounding Python service: performance, observability, testing, and reliability of the optimization runtime.
- Help shape how scheduling intelligence integrates with the broader MaintainX product over time, including learning from execution data to improve solver inputs.
About you
- 5+ years of professional software engineering experience, with significant time spent on optimization, constraint programming, or operations research problems shipped to real users.
- Strong fluency with CP-SAT and at least one other optimization paradigm (MILP via Gurobi/CPLEX/HiGHS, metaheuristics, or similar). You've hit the limits of one approach and made informed choices about when to use which.
- Solid Python service engineering: APIs, async, testing, profiling, observability. You can own a production service end-to-end.
- Academic grounding in Operations Research, Industrial Engineering, Computer Science, or a related quantitative field, at minimum a strong undergraduate foundation; advanced degrees are common in this space but not required.
- Track record of iterating optimization systems with real users, you've felt what happens when a human rejects the "optimal" answer and you've redesigned the model in response.
- Product mindset and delivery orientation, you ship, you measure, you iterate. You think about the user outcome, not just the objective function.
- Comfort with ambiguity. You can co-design the constraint data model with the team rather than waiting for a clean spec.
- Familiarity with GenAI tooling (LLM tool calling, structured output, prompt design for constrained generation) is expected.
Nice to have
- Experience at a known, reputable product company shipping optimization or scheduling products at scale.
- Exposure to learning-augmented optimization, using historical execution data to estimate durations, priors, or constraint weights.
- Domain experience in scheduling, workforce management, field service, manufacturing, logistics, or similar resource-constrained planning problems.
- Tech-lead experience or interest in growing into a tech-lead role on this team.
What's in it for you
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A Work Culture where:
- You'll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists.
- We believe in meritocracy, where ideas and effort are publicly celebrated.
About us
Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That's why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
#LI-Remote
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Apply to MaintainX
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent.
Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster.
SUMMARY
As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Enterprise Solutions Engineering Manager. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.
WHAT YOU’LL DO
- Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
- Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
- Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
- Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
- Represent Wiz in technical forums such as trade shows, technical meetups, and industry events.
WHAT YOU’LL BRING
- Ability to deliver world class demonstrations and training experience to our channel customers
- Mastered the technical sales process
- Thrive in a creative technical role assisting partners to build a technical business delivery model
- Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
- Ability to travel
- Cloud security experience
- AWS/Azure/GCP hands on experience
- Network engineering experience
- Strong operating system, virtual machine, and container knowledge
- Knowledge of risk-based security assessments and frameworks
- Understanding of cloud identity, access, certificates, and keys
BONUS POINTS:
- Experience with traditional CSPM tools
- SaaS experience
- Awareness of the CI/CD process
- Familiarity with Infrastructure as Code
Compensation
Starting compensation will be determined based on various factors, including but not limited to, the candidate's job-related experience, skills and geographic location. Your Talent Partner can share more about the specific salary range during the hiring process.
This role may also include incentive compensation.
The annual base salary range for this full-time position is listed below.
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Ready to apply?
Apply to Wiz, Inc.
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent.
Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re the leading player in a massive and growing market, but it’s still early enough for you to make a significant impact. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster.
SUMMARY
As a Senior Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Enterprise Solutions Engineering Manager. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution.
WHAT YOU’LL DO
- Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
- Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
- Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
- Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
- Represent Wiz in technical forums such as trade shows, technical meetups, and industry events.
WHAT YOU’LL BRING
- Ability to deliver world class demonstrations and training experience to our channel customers
- Mastered the technical sales process
- Thrive in a creative technical role assisting partners to build a technical business delivery model
- Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
- Ability to travel
- Cloud security experience
- AWS/Azure/GCP hands on experience
- Network engineering experience
- Strong operating system, virtual machine, and container knowledge
- Knowledge of risk-based security assessments and frameworks
- Understanding of cloud identity, access, certificates, and keys
BONUS POINTS:
- Experience with traditional CSPM tools
- SaaS experience
- Awareness of the CI/CD process
- Familiarity with Infrastructure as Code
Compensation
Starting compensation will be determined based on various factors, including but not limited to, the candidate's job-related experience, skills and geographic location. Your Talent Partner can share more about the specific salary range during the hiring process.
This role may also include incentive compensation.
The annual base salary range for this full-time position is listed below.
Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship.
Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Ready to apply?
Apply to Wiz, Inc.
Senior Software Engineer, Calibration
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About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform.
We are currently seeking a Senior Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization.
We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities.
We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking.
Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.
What You’ll Do
As a Senior Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:
- Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration.
- Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.
- Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.
- Experience with camera intrinsic and extrinsic calibration.
- Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing.
- Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases.
- Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment.
- Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities.
- Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence.
What You’ll Need to Succeed
- Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5–7+ years of experience (or a Master’s Degree with 3–5+ years of experience).
- Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling.
- Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications.
- Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems.
- Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations.
- Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel).
- Demonstrated experience designing scalable software architectures and leading technical initiatives.
- Excellent problem-solving skills and ability to drive cross-team technical alignment.
Bonus Points!
- Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization.
- Background in sensor simulation, synthetic data generation, or validation frameworks.
- Prior contributions to ROS-based open-source calibration or robotics tools.
- Experience influencing technical roadmaps and defining long-term software strategies.
- Uses vim as a primary editor (yes, still really).
- Willingness to travel occasionally.
Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.
Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.
Perks of Being a Full-time Torc’r (Canada)
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- Medical, dental, and vision for full-time employees
- RRSP plan with a 6% employer match
- Public Transit Subsidy (Montreal area only)
- Flexibility in schedule and generous paid vacation
- Company-wide holiday office closures
- Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102610
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Développeur ou développeuse sénior en fiabilité de production / Senior Production Reliability Engineer
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L’opportunité
Nous recherchons une personne de talent pour se joindre à notre équipe PRE Build and Deploy, basée à Montréal au Canada, à titre de développeur en fiabilité de production. La personne idéale pour ce poste possède une bonne compréhension des différentes exigences imposées par le déploiement continu et à la haute disponibilité. Dans ce rôle, vous travaillerez directement avec des équipes de développement et des organisations partenaires et serez responsable de la plateforme CI/CD qui permet à l’équipe de développement de Unity d’offrir des produits en toute confiance. Vos tâches iront de la création de pipelines de déploiement standardisés et de flux de travail GitOps à la conception d’outils en libre-service et d’infrastructures de runners. Cela signifie traiter l’infrastructure en tant que code (« infrastructure as code ») comme un principe fondamental et bien piloter les initiatives de bout en bout une fois qu’une direction est établie.
Ce que vous allez faire
- Travailler au sein d’une équipe dont l’objectif est d’aider les développeurs à offrir des produits en toute confiance, en étant responsable de la plateforme qui alimente le CI/CD pour l’équipe de développement de Unity, y compris la standardisation des déploiements, les Pipelines GitOps, les infrastructures CI/CD, ainsi que le développement et l’amélioration d’outils en libre-service
- Collaborer avec des équipes de développement et de fiabilité des sites (Site Reliability Development) de calibre mondial, réparties dans plusieurs unités d’affaires, pour faire évoluer les capacités de la plateforme, réduire les tâches répétitives et hausser le niveau de fiabilité de l’ensemble de l’organisation
- Développer vos propres compétences en influençant les décisions relatives à la plateforme, celles-ci ayant des impacts concrets pour des milliers de développeurs chez Unity
Ce que nous recherchons
- Préférer l’automatisation au travail manuel
- Posséder une vaste expérience pratique avec GCP et avoir conçu et exploité des services de plateforme CI/CD infonuagiques natifs à grande échelle
- Démontrer un historique solide de responsabilité de systèmes de Pipelines de déploiement, de flux de travail GitOps et de plateformes d’infrastructures en tant que code de bout en bout, de la conception jusqu’aux opérations en production à grande échelle
- Diriger l’orientation technique : repérer des opportunités à l’échelle de la plateforme, proposer et diriger des solutions qui impliquent plusieurs unités d’affaires, et travailler avec un haut niveau d’autonomie, en nécessitant un minimum de supervision pour livrer des résultats alignés sur la mission de l’équipe
- Établir des partenariats dans toute l’organisation : collaborer de façon transversale avec des équipes de développement, des équipes partenaires telles que Developer Experience, Cloud Infrastructure et Security, et travailler aux côtés de la haute direction pour définir et faire progresser la feuille de route de la plateforme CI/CD
- Être à l’aise de travailler au sein d’une équipe mondiale répartie sur différents fuseaux horaires
Vous avez peut-être également
- Des connaissances AWS et Azure
- Une expérience en gestion d’artéfacts (JFrog Artifactory)
- Une expérience avec Golang - Python - Node.js
- Des connaissances en réseautage infonuagique
Information supplémentaire
- Le support à la relocalisation n’est pas disponible pour ce poste
- Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste
Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.
Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.
Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons
La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.
Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.
Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.
Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.
Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.
La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.
The opportunity
We're looking for a talented Production Reliability Engineer to join our PRE Build and Deploy team based in Montreal, Canada. The ideal candidate understands the different requirements that are brought upon by continuous deployment and high-availability. In this position you work directly with development teams and partner organizations, owning and evolving the CI/CD platform that enables Unity's engineering organization to ship with confidence. From building standardized deployment pipelines and GitOps workflows, to designing self-service tooling and runner infrastructure. This means treating infrastructure-as-code as a foundational principle and driving things properly end-to-end once the direction is established.
What you'll be doing
- You'll get to work on a team focused on helping developers ship with confidence, owning the platform that powers CI/CD for Unity's engineering organization, including deployment standardization, GitOps pipelines, CI/CD infrastructures, and develop/improve self-service tooling empowerment
- You'll be working with world-class development and Site Reliability Engineering teams across multiple business units to evolve platform capabilities, reduce toil, and raise the reliability bar for the entire organization
- You'll get a chance to develop your own skills while shaping platform decisions that make a real difference for thousands of engineers at Unity
What we're looking for
- You prefer automation over manual work
- You have deep hands-on experience with GCP, and have designed and operated cloud-native CI/CD platform services at scale
- You have a proven track record of owning deployment pipeline systems, GitOps workflows, and infrastructure-as-code platforms end-to-end, from design through production operations at scale
- Driving technical direction: You identify platform-wide opportunities, propose and lead solutions that cut across business units, and operate with a high degree of autonomy, requiring minimal guidance to deliver outcomes aligned to the team's mission
- Partnering across the organization: You engage cross-functionally with engineering teams, partner organizations such as Developer Experience, Cloud Infrastructure, and Security, and work alongside senior leadership to shape and advance the CI/CD platform roadmap
- You are comfortable working across timezones on a global team
You might also have
- AWS and Azure knowledge
- Artifact management (JFrog Artifactory)
- Golang - Python - Node.js
- Cloud Networking
Additional information
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
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Field Engineer
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Position Summary:
The Field Engineer will serve as engineering support for our sales team assisting with construction management and after-sales field support. This role will require frequent travel to job sites throughout a specific territory but will be based at our sales office in the Montreal area. The position will include both field and office work.
Position will involve extensive formalized training plus work under a mentor, developing skills and gaining an understanding of CaptiveAire products, troubleshooting, and application engineering processes etc.
Why Work for CaptiveAire?
- Nation’s leading manufacturer of commercial kitchen ventilation systems, and now offering a complete solution of fans, heaters, ductwork and HVAC equipment.
- Leader in the industry for over 40 years with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
- Mission: to provide the highest quality products and service to our users at the lowest possible price
- Strong commitment to the development of our employees, including continuous education opportunities like sponsorship for Professional Engineering license and continuous education through weekly webinars and company developed technical videos
What our employees have to say:
I can confidently say that I've never been part of a more focused company, working as one big team to achieve amazing success.
There is never a day you don’t learn something new at CaptiveAire. I am able to learn something new due to the freedom to take on new tasks independently and problem solve.
I love the mindset of continuous learning and pushing the bounds of your capabilities and knowledge. I love the people I work with and the environment, particularly in a world where remote work is common. I love how Captiveaire is all about connections, with customers, coworkers, end users, and everyone in between.
One of the things I appreciate most about CaptiveAire is how strongly it embodies the entrepreneurial spirit. I’m empowered with the autonomy to manage my work independently, while also benefiting from the robust support and resources of a large, well-established company.
CaptiveAire is fast-moving and no-nonsense. We operate differently than any other company that I've worked for with our decentralized structure. Quick action is taken when a good idea is presented. We are focused on end users where the rest of the industry is very short-sighted. We are on the front lines, actively changing the landscape of the HVAC industry.
Learn more about CaptiveAire and our products here
A Day in the Life:
This position will encompass a wide variety of tasks where one day does not look exactly like the next. The projects our team handles are high in volume and unique from one another, spanning throughout the whole course of design, procurement, coordination, and post-sale support.
Typical tasks include:
- Estimated 50% to 75% of time spent in the field on job sites
- Supporting installations and equipment start ups to ensure high quality outcomes and adherence to engineering principles
- Handling complex troubleshooting issues
- Customer service and coordination with all parties – CaptiveAire team, contractors, engineers, installers, CaptiveAire Service
Primary Job Responsibilities:
- A combination of being in the field working on job sites and data analysis and remote troubleshooting using building management system (travel required)
- Product Support - Troubleshoot issues with existing and newly installed equipment in the field and provide immediate solutions
- Maintain expert level knowledge of all CaptiveAire products
- Work closely with engineering team, service team, local sales team and customers to help find best outcomes on installed jobs
- On site for construction trade coordination meetings and startups to ensure a good outcome
- Review and analyze data gathered from installed equipment in order to make product improvements, utilizing our CASLink remote monitoring system
- Use mechanical building design knowledge to review applications for customers and suggest improvements in operation
- Perform 3rd party training for outside contractors on CaptiveAire products
- Provide reports to Regional Manager as well as other teams on customer feedback/challenges, quality, product improvements/issues
Required skills:
- 0-5 yrs experience
- 4 year technical degree in a mechanical, electrical, construction or science-oriented curriculum preferred
- Hands on, technical internship/co-op experience is preferred
- Must enjoy hands on product exposure
- HVAC and/or electrical experience strongly preferred
- Multi-tasking, problem solving and strong communication skills a must
- If not already completed, expectation of FE Exam completion in area of study for engineering graduates within 6 months of employment with CaptiveAire
- MUST BE A “GO GETTER”!
- MUST Speak French
Salary:
$70k-$100k base, negotiable dependent on experience, with additional monthly bonus based on productivity and profits.
Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
To qualify, applicants must be legally authorized to work in the United States. At this time we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status.
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#TL-LI 1
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Sr. Software Engineer (PHP)
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At Higher Logic, engagement happens here. As the industry-leading, human-focused engagement platform we deliver powerful online communities and communication tools to organizations looking to build, retain, and grow their member or customer base. We’re obsessed with engagement and, with over 13 years of experience in the industry, we’ve got it down to a science. We are a global company with offices throughout the US, Canada, and Australia. We serve more than 3,000 customers, representing over 350,000 online communities with over 200 million users across 42 countries worldwide.
Our team is a thriving community of authentic people with diverse experiences and perspectives. We are honest and genuine and believe that sharing ideas and feedback openly helps us to be successful. We believe that diversity and empathy bring us #AllTogether to make us stronger. We learn from failure and successes because both help us to grow and learn. We strive to understand the why behind our actions and bring our best selves to work every day.
At Higher Logic, engagement happens here. As the industry-leading, human-focused engagement platform, we deliver powerful online communities and communication tools to organizations looking to build, retain, and grow their member or customer base. We’re obsessed with engagement—and with 13+ years of experience in the industry, we’ve got it down to a science. We are a global company with offices throughout the US, Canada, and Australia. We serve more than 3,000 customers, representing over 350,000 online communities with over 200 million users across 42 countries worldwide.
Our team is a thriving community of authentic people with diverse experiences and perspectives. We are honest and genuine and believe that sharing ideas and feedback openly helps us to be successful. We believe that diversity and empathy bring us #AllTogether to make us stronger. We learn from failure and successes because both help us to grow and learn. We strive to understand the why behind our actions and bring our best selves to work every day.
Job Description
Higher Logic Vanilla is looking for a Senior Software Developer (Backend / PHP) who thrives at the intersection of product engineering, scalability, and modern developer workflows—including AI-assisted development. You’ll help build and evolve the core application systems that power rich community experiences for millions of users worldwide.
This role is primarily focused on backend and platform development, but success in this position requires strong product thinking, sound engineering judgment, and the ability to work effectively in a large, mature application with complex integrations, extensibility points, and performance considerations.
This is a great fit for someone who can own meaningful technical work, raise engineering standards, and use AI tools responsibly to accelerate delivery without compromising quality, security, or maintainability.
What You'll Do:
- Build, maintain, and ship high-quality product features in a multidisciplinary Agile team.
- Design and evolve backend systems that support large-scale, highly configurable community applications.
- Work across core application layers, APIs, integrations, and platform capabilities to deliver reliable end-to-end solutions.
- Write reliable, well-tested code; participate in code review; mentor teammates through thoughtful feedback and shared patterns.
- Triage, debug, and resolve production issues efficiently; collaborate closely with product, QA, support, and other engineers to close the loop quickly.
- Contribute to application performance, scalability, resilience, and maintainability across a large and evolving codebase.
- Help shape technical direction by improving architecture, coding standards, tooling, documentation, and team development practices.
- Participate in guild or cross-team engineering discussions to strengthen backend practices and promote sustainable patterns across the organization.
AI-Forward Development Responsibilities
- We’re looking for a software developer who is excited to rethink how software is built—someone eager to work in an AI-native, agentic development environment, where developers collaborate with intelligent agents to design, build, and iterate faster.
- Use AI-powered IDEs and assistants (e.g., Cursor, Copilot-style tools) to accelerate implementation, refactoring, debugging, and test generation—while ensuring correctness, security, and maintainability.
- Apply AI thoughtfully: write strong prompts, verify outputs, and incorporate guardrails such as automated tests, static analysis, code review, and runtime validation.
- Help define best practices for AI-assisted engineering, including where automation is most effective, what requires human review, and how to evaluate output quality in a production environment.
- Partner on AI-enabled product and platform initiatives where relevant, including areas like moderation tooling, content workflows, search and discovery, summarization, admin productivity, and internal developer efficiency.
What We’re Looking For (Required)
- Strong understanding of Agile values and principles.
- Strong software engineering fundamentals, including object-oriented design, modular architecture, and maintainable coding practices.
- Experience building and supporting production applications at scale, with attention to performance, reliability, and long-term maintainability.
- Experience designing and working with APIs and service boundaries in complex systems.
- Ability to debug effectively, reason through production issues, and make sound tradeoffs in a large application environment.
- Awareness of security best practices and experience identifying or addressing vulnerabilities in web applications.
- Comfort working in containerized or modern local development environments and with contemporary engineering workflows.
- Comfort with Git-based workflows, pull requests, and collaborative code review.
- Practical experience using AI coding tools (Cursor or equivalent) in day-to-day development, including validating generated code and avoiding insecure or low-quality patterns.
Desired Qualifications
- 5+ years of professional software development experience building and maintaining production web applications.
- Experience working in a large, mature application or platform with significant business logic, legacy considerations, and evolving architecture.
- Experience with extensible or modular systems such as themes, plugins, integrations, or configurable platform features.
- Experience working with asynchronous processing, background jobs, queues, or event-driven patterns.
- Familiarity with database-backed applications and the performance considerations that come with them.
- Experience with testing practices and tools that build confidence through automation.
- Strong product instincts: you communicate tradeoffs well, care about user outcomes, and understand how technical decisions affect the customer experience.
- Experience contributing to technical mentoring, architectural improvements, or shared engineering standards.
What You’ll Earn
- Competitive compensation.
- Comprehensive health benefits package.
- 401(k) plan with employer match.
- Healthcare and dependent-care flexible spending account.
- Company short-term and long-term disability insurance.
- Company culture that recognizes its employees.
- Room for growth and development and management that cares about your professional growth and will help you achieve your goals.
- Significant advancement opportunities for outstanding performers.
EEO Disclosure
Higher Logic is committed to equal opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Higher Logic is committed to ensuring that its application process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to submit an application, please contact us by emailing HRBenefits@higherlogic.com
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Senior Software Engineer, Calibration
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About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform.
We are currently seeking a Senior Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization.
We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities.
We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking.
Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.
What You’ll Do
As a Senior Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:
- Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration.
- Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.
- Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.
- Experience with camera intrinsic and extrinsic calibration.
- Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing.
- Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases.
- Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment.
- Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities.
- Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence.
What You’ll Need to Succeed
- Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5–7+ years of experience (or a Master’s Degree with 3–5+ years of experience).
- Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling.
- Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications.
- Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems.
- Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations.
- Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel).
- Demonstrated experience designing scalable software architectures and leading technical initiatives.
- Excellent problem-solving skills and ability to drive cross-team technical alignment.
Bonus Points!
- Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization.
- Background in sensor simulation, synthetic data generation, or validation frameworks.
- Prior contributions to ROS-based open-source calibration or robotics tools.
- Experience influencing technical roadmaps and defining long-term software strategies.
- Uses vim as a primary editor (yes, still really).
- Willingness to travel occasionally.
Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
- AD+D and Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
U.S Compensation Range: $160,000-193,000/yr
Job ID: 102610
Ready to apply?
Apply to Torc Robotics
Architecte de solutions en plateformes de données
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Architecte de solutions en plateformes de données
Qui nous sommes :
Quadbridge est un fournisseur nord-américain de solutions TI en pleine croissance, qui aide les entreprises à relever des défis complexes au quotidien grâce à des partenariats solides avec des fournisseurs technologiques de premier plan et à une collaboration étroite avec nos équipes et nos clients.
Avec des bureaux à Kitchener, Montréal et Vancouver, nous nous efforçons de créer un milieu de travail dynamique et stimulant où des collègues ambitieux et partageant les mêmes valeurs collaborent, innovent et s’épanouissent, alors que nous poursuivons l’expansion de notre présence à l’échelle nationale.
Nous sommes Quadbridge. Découvrez comment nous bâtissons ensemble les solutions de demain.
Le poste :
Nous sommes à la recherche d’un(e) architecte de solutions en plateformes de données de niveau intermédiaire pour se joindre à notre équipe de services‑conseils et de services professionnels.
Ce rôle combine architecture de solutions, soutien à l’avant‑vente et exécution de livraison, avec un accent sur la conception et la mise en œuvre de plateformes modernes de données et d’IA à l’aide de Microsoft Fabric et Azure Databricks.
La personne retenue travaillera en étroite collaboration avec les équipes d’avant‑vente et de livraison afin de mener des engagements axés sur l’évaluation, concevoir des architectures évolutives de plateformes de données et d’IA, accélérer les résultats clients et favoriser l’attachement des services professionnels et des services gérés en aval.
Responsabilités principales
Architecture et conception de solutions
- Concevoir des plateformes modernes de données et d’IA (Lakehouse / Data Lake) ainsi que des plateformes analytiques à l’aide de :
- Microsoft Fabric (OneLake, ingénierie des données, Data Factory, science des données, analytique en temps réel, Power BI)
- Azure Databricks (Lakehouse, Delta Lake, workflows, Unity Catalog)
- Concevoir des architectures de plateformes de données et d’IA sécurisées, évolutives et optimisées en coûts, adaptées aux besoins des PME et du marché intermédiaire
- Développer des architectures de référence et des modèles réutilisables alignés sur les meilleures pratiques de Microsoft et de Databricks
Avant‑vente et évaluations
- Soutenir les activités d’avant‑vente, notamment :
- Ateliers de découverte technique
- Séances de schématisation et de validation d’architecture
- Soutien à la définition du périmètre et à l’estimation pour les énoncés de travaux (Statement of Work – SOW)
- Diriger ou contribuer aux évaluations de plateformes de données et d’IA :
- Évaluations de préparation aux données et à l’IA
- Évaluations de préparation à Microsoft Fabric
- Évaluations Databricks / Lakehouse
Livraison et leadership technique
- Agir comme chef technique ou contributeur(trice) senior lors des implémentations de plateformes de données
- Fournir une supervision de conception et un accompagnement pratique pour :
- Les pipelines d’ingestion de données
- Les intégrations de sources de données
- Les transformations (SQL, PySpark)
- Les modèles sémantiques et les couches d’analytique
- S’assurer que la livraison respecte la portée, les échéanciers et les standards d’architecture établis
Gouvernance, sécurité et optimisation
- Concevoir des modèles de gouvernance, de sécurité et de conformité des données, incluant :
- Les contrôles d’accès aux données
- Le catalogage et la traçabilité (data lineage)
- La conception des espaces de travail et des environnements (tenants)
- Appliquer les pratiques FinOps et d’optimisation de performance afin de maîtriser les coûts infonuagiques
- Conseiller les clients sur la gestion du cycle de vie des plateformes et la préparation opérationnelle
Partenariats et développement de la pratique
- Se tenir à jour des feuilles de route de Microsoft Fabric et Databricks, ainsi que des meilleures pratiques partenaires
- Contribuer à :
- Des accélérateurs internes
- Des modèles de livraison
- Du contenu d’habilitation des équipes de vente
- Soutenir les initiatives partenaires alignées aux désignations Microsoft Solution Partner et Databricks
Qualifications requises
Expérience technique
- 4 à 6 ans d’expérience en ingénierie de données et d’IA, analytique ou architecture de plateformes de données
- Expérience pratique avec :
- Microsoft Fabric ou forte expérience en données Azure et Power BI avec transition vers Fabric
- Solide expérience avec Copilot / Copilot Studio
- Azure Databricks et/ou Databricks
- Excellente compréhension de :
- L’architecture Lakehouse et plateformes de données et d’IA
- Les modèles ELT / ETL
- SQL et PySpark
- Expérience avec les services de données Azure, notamment :
- Azure Data Lake Storage
- Azure Synapse
- Azure SQL
- Azure Data Factory
Expérience en consultation / environnement VAR
- Expérience au sein d’un VAR, d’un intégrateur de systèmes ou d’un cabinet de consultation
Communication et collaboration
- Excellentes compétences en consultation et en communication avec les clients
- Capacité à traduire des concepts techniques en valeur d’affaires
- Expérience de collaboration avec les équipes de vente, d’avant‑vente et de livraison
Certifications souhaitées
Microsoft (préférées)
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert (un atout)
Databricks
- Databricks Data Engineer Associate
- Databricks Data Engineer Professional
- Databricks Lakehouse Fundamentals
Nuage et architecture (atouts)
- Azure Fundamentals (AZ‑900)
- AI‑900 (Azure AI Fundamentals)
- FinOps Practitioner (ou formation équivalente en gestion des coûts)
À quoi ressemble le succès (12 premiers mois)
- Participer avec succès à la livraison de plusieurs engagements Microsoft Fabric et Databricks
- Devenir un ou une conseiller(ère) technique de confiance pour les équipes de vente et les clients
- Transformer les opportunités issues des évaluations en implémentations et services gérés
- Contribuer à des offres réutilisables permettant d’améliorer la marge et la vélocité de livraison
Pourquoi Quadbridge :
- Investissez dans votre avenir – Profitez de notre programme REER pour planifier l’avenir.
- Évoluez avec nous – Accédez à des occasions continues de formation et de développement professionnel.
- Couverture complète – Régime d’assurance incluant soins de santé, soins dentaires, assurance vie et invalidité de longue durée.
- Équipement de pointe – Nous vous fournissons tout le nécessaire pour exceller dans votre rôle.
- Milieu de travail dynamique – Participez à des activités sociales et de consolidation d’équipe chaque mois.
- Avantages appréciés – À notre bureau de Montréal, profitez d’un chef sur place et d’un gym.
- Restez connecté – Allocation pour téléphone mobile incluse.
- Amenez votre meilleur ami – Nos bureaux acceptent les animaux de compagnie.
Rémunération
160 000 $ à 185 000 $ par an, plus prime basée sur les KPI
Horaire de travail
Lundi au vendredi, de 8 h 30 à 17 h
Type d’emploi
Permanent, temps plein, hybride ou en télétravail
Lieu
Montréal (QC), Kitchener (ON) ou Vancouver (BC)
Date limite pour postuler :
30 juin 2026
Ce poste est également affiché en anglais.
Quadbridge est un employeur offrant l’égalité des chances et s’engage à promouvoir la diversité et l’inclusion conformément à la Loi canadienne sur les droits de la personne et à la Loi sur l’équité en matière d’emploi. Si vous avez besoin de mesures d’adaptation en vertu de la Loi sur l’accessibilité pour les personnes handicapées de l’Ontario ou de toute autre loi canadienne applicable durant le processus d’entrevue, veuillez nous en informer et nous veillerons à répondre à vos besoins.
Ready to apply?
Apply to Quadbridge
Data Platform Solution Architect
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Data Platform Solution Architect
Who We Are:
Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology providers and close collaboration with our team and customers.
With locations in Kitchener, Montreal and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.
We are Quadbridge. See how we’re building tomorrow’s solutions, together.
This Role:
We are seeking a mid‑level Data Platform Solution Architect to join our consulting and professional services team.
This role blends solution architecture, pre‑sales support, and delivery execution, focused on designing and implementing modern data and AI platforms using Microsoft Fabric and Azure Databricks.
The successful candidate will work closely with pre-sales & delivery teams to drive assessment‑led engagements, build scalable data platform & AI design and architectures, and accelerate customer outcomes while enabling downstream services and managed services attach.
Key Responsibilities
Solution Architecture & Design
- Architect modern Data & AI platforms (Lakehouse/Data Lake) and analytics platforms using:
- Microsoft Fabric (OneLake, Data Engineering, Data Factory, Data Science, Real‑Time Analytics, Power BI)
- Azure Databricks (Lakehouse, Delta Lake, Workflows, Unity Catalog)
- Design secure, scalable, and cost‑optimized Data & AI platform architectures aligned to SMB and mid‑market needs
- Develop reference architectures and repeatable patterns aligned to Microsoft and Databricks best practices
Pre‑Sales & Assessments
- Support pre‑sales activities including:
- Technical discovery sessions
- Architecture whiteboarding
- Scoping and estimation support for Statements of Work (SOWs)
- Lead or contribute to Data & AI platform assessments (Data & AI Readiness, Fabric Readiness, Databricks/Lakehouse Assessments)
Delivery & Technical Leadership
- Act as technical lead or senior contributor on data platform implementations
- Provide design oversight and hands‑on guidance for:
- Data ingestion pipelines
- Data source integrations
- Transformations (SQL, PySpark)
- Semantic models and analytics layers
- Ensure delivery aligns to scope, timelines, and architectural standards
Governance, Security & Optimization
- Design data governance, security, and compliance models including:
- Data access controls
- Cataloging and lineage
- Workspace and tenant design
- Apply FinOps and performance optimization practices to control cloud costs
- Advise clients on platform lifecycle management and operational readiness
Partner & Practice Enablement
- Stay current with Microsoft Fabric and Databricks roadmaps and partner best practice guidance
- Contribute to:
- Internal accelerators
- Delivery templates
- Sales enablement content
- Support partner motions aligned to Microsoft Solution Partner and Databricks designations
Required Qualifications
Technical Experience
- 4–6 years of experience in data & AI engineering, analytics, or data platform architecture
- Hands‑on experience with:
- Microsoft Fabric or strong Azure Data + Power BI background transitioning to Fabric
- Strong Copilot/Copilot Studio background
- Azure Databricks and or Databricks
- Strong understanding of:
- Data platform & AI Lakehouse architecture
- ELT/ETL patterns
- SQL and PySpark
- Experience with Azure data services such as:
- Azure Data Lake Storage
- Azure Synapse
- Azure SQL
- Azure Data Factory
Consulting & VAR Experience
- Experience in a VAR, systems integrator, or consulting environment
Communication & Collaboration
- Strong client‑facing consulting and communication skills
- Ability to translate technical concepts into business value
- Experience collaborating with sales, delivery, and pre-sales teams
Preferred Certifications
Microsoft (preferred)
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert (plus)
Databricks
- Databricks Data Engineer Associate
- Databricks Data Engineer Professional
- Databricks Lakehouse Fundamentals
Cloud & Architecture (Nice to Have)
- Azure Fundamentals (AZ‑900)
- AI‑900 (Azure AI Fundamentals)
- FinOps Practitioner (or equivalent cost‑management training)
What Success Looks Like (First 12 Months)
- Successfully support and deliver multiple Fabric and Databricks engagements
- Become a trusted technical advisor to sales and clients
- Drive assessment‑led opportunities into implementation and managed services
- Contribute to repeatable offerings that improve delivery margin and velocity
Why Quadbridge?
- Invest in Your Future – Benefit from our RRSP program to help you plan ahead.
- Grow With Us – Take advantage of ongoing professional training and development opportunities.
- Comprehensive Coverage – A complete health, dental, life and LTD insurance plan
- Top-Tier Equipment – We provide everything you need to do your best work.
- A Vibrant Workplace – Join us for monthly social and team building events.
- Perks You’ll Love – In our Montreal office, enjoy an onsite chef and gym.
- Stay Connected – Receive a phone allowance to keep you plugged in.
- Bring Your Best Friend – Our offices are pet-friendly!
Salary range
$160,000 to $185,000 annually, plus bonus based on KPIs
Work Schedule:
Monday to Friday, 8:30 a.m. to 5 p.m.
Permanent, full-time, hybrid or remote
Location:
Montreal (QC) , Kitchener (ON) or Vancouver (BC)
Application Deadline
June 30, 2026
Ce poste est également affiché en français.
Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the Accessibility for Ontarians with Disabilities Act (AODA) and other applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.
Ready to apply?
Apply to Quadbridge
Ingénieur Logiciel Full Stack, AutoSync
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Nous sommes TRADER, un leader canadien des solutions numériques pour l'automobile. Nos marques phares — AutoTrader.ca, AutoSync, Dealertrack Canada et CMS — aident les Canadiens à acheter, vendre et financer des véhicules en toute confiance. En tant que membre du groupe AutoScout24, le plus grand marché automobile en ligne d'Europe, nous façonnons l'avenir de la vente au détail automobile au Canada et au-delà.
Pour en savoir plus, rendez-vous sur tradercorporation.com.
Ce rôle fera partie de l'équipe AutoSync. AutoSync soutient plus de 3 500 concessionnaires à l'échelle nationale, en fournissant des outils logiciels de pointe pour simplifier les opérations, renforcer le marketing et stimuler les ventes.
Nous recherchons actuellement un ingénieur logiciel Full Stack pour rejoindre notre équipe, au service de la plus grande suite de produits automobiles au Canada.
Lieu : Montréal
À quoi s'attendre :
- Travaillant aux côtés de personnes très talentueuses et dévouées, vous ferez partie d'une équipe agile interfonctionnelle qui contribue à la construction de la plateforme numérique d'AutoSync
- Participer aux cérémonies agiles quotidiennes, réfléchir à des idées innovantes qui remettent en question le statu quo et aider à mettre en œuvre des solutions
- Agir en tant que défenseur de la responsabilité et de la qualité de code la plus élevée, tout en contribuant à la santé de l'infrastructure
- Élever le niveau et faire progresser l'équipe en partageant des connaissances et des bonnes pratiques, tout en recherchant constamment des améliorations et en facilitant le progrès
Ce que vous apportez :
- Expérience pratique dans le développement de sites web publics à fort trafic
- Fort adepte du principe d'ingénierie logicielle full stack, avec une attitude « vous le construisez, vous le gérez » (développement, devops, cloudops, sécurité, tests, etc.)
- Capacité prouvée à explorer de nouvelles technologies et à aider l'équipe à les utiliser
- Passion pour l'IA et son application au SDLC
- Solides compétences en programmation et bonnes pratiques de développement logiciel
- Principes de tests solides, tester votre propre code pour garantir sa préparation à la production
Expérience obligatoire :
- Plus de 4 ans de développement de systèmes logiciels fiables, hautement disponibles et évolutifs
- Solide compréhension de l'architecture logicielle et des modèles de conception
- Bonne maîtrise des principes de code propre et des normes de codage
- Excellente compétence dans l'utilisation des outils d'IA, tels que ChatGPT/Codex, pour un développement rapide.
- Expérience de l'intégration des outils d'IA dans votre environnement de développement pour une utilisation simplifiée.
- Expérience avec des frameworks d'IA tels que Vercel AI SDK, LangChain, etc.
- Excellente compétence en développement backend (Typescript, Node.js)
- Connaissance fonctionnelle de PHP pour des applications WordPress héritées
- Une expérience avec .Net/C# est appréciée
- Solide maîtrise des bases de données SQL et NoSQL (GraphQL, Redis)
- Solide maîtrise du développement frontend (HTML, CSS, Javascript)
- Solide maîtrise des frameworks basés sur des composants et du SSR (Next.js/React, Vue.js)
- Expérience pratique dans le développement et la maintenance de systèmes de gestion de contenu tiers
- Connaissance des infrastructures cloud modernes et des outils, tels que AWS, Terraform et Docker
- Expérience avec les API et le développement dans un environnement d'application basé sur les services
- Expérience dans la création d'interfaces utilisateur optimisées pour la performance
- Maîtrise des systèmes de contrôle de version tels que Git
- Expérience de travail dans un pipeline CI/CD formel
- Expérience avec les services de journalisation, de surveillance et d'alerte tels que Datadog, Newrelic.
- Approche solide des tests et de l'assurance qualité du code, tests unitaires, backend et frontend
- Expérience dans l'utilisation de l'IA, de l'IA générative (GenAI) pour améliorer la productivité en ingénierie, automatiser les tâches répétitives et optimiser les flux de travail. Vous devez démontrer la capacité à intégrer des solutions basées sur l'IA dans votre travail quotidien — comme la génération de code, le débogage, les revues, la documentation et le support à la décision — pour améliorer l'efficacité pour vous-même et vos équipes.
- Une approche proactive pour explorer et mettre en œuvre des outils d'IA qui stimulent l'innovation et rationalisent les processus de développement est très appréciée.
Le genre masculin est utilisé sans discrimination et dans le seul but d’alléger le texte.
Qu'est-ce que vous y gagnez…
Nous comprenons qu'il y a la vie au travail et la vie en dehors du travail. Voici quelques avantages dont nous bénéficions tous, qui nous soutiennent pour être à notre meilleur niveau créatif.
- Rabais pour le gym
- Programme d'aide aux employés et à leur famille
- Événements virtuels de bien-être
- Budget pour conférences et formation
- Programmes de formation interne réguliers
- Planification financière avec régime de retraite à cotisation de 3 %
- Salaire compétitif
- Structure de prime annuelle
La fourchette salariale de base pour ce poste est de 100 000 $ CA à 150 000 $ CA.
Cette fourchette reflète la rémunération prévue au moment de la publication. L'offre finale peut varier et être plus élevée en fonction des compétences pertinentes, de l'expérience, de l'emplacement et des conditions du marché. En fonction du rôle, le régime global de rémunération peut également inclure des avantages, des primes et d'autres offres aux employés.
Pour une carrière où vous pouvez stimuler notre entreprise et façonner votre avenir, postulez maintenant.
We are TRADER, a Canadian leader in digital automotive solutions. Our flagship brands — AutoTrader.ca, AutoSync, Dealertrack Canada and CMS — help Canadians buy, sell, and finance vehicles with confidence. As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.
Learn more at tradercorporation.com.
This role will be within the AutoSync team. AutoSync supports over 3,500 dealerships nationwide, delivering cutting-edge software tools to simplify operations, boost marketing, and drive sales.
We’re currently looking for a Full Stack Software Engineer to join our team, serving the largest automotive product suite in Canada.
Location: Toronto
What To Expect:
- Working alongside some very talented and dedicated individuals, you will be part of a cross-functional agile team that contributes to building AutoSync’s digital platform
- Taking part in daily agile ceremonies, brainstorming on innovative ideas that challenge the status quo and helping to implement solutions
- Acting as an advocate for ownership & highest code quality, as well as contributing to the health of the infrastructure
- Raising the bar and elevating the team by sharing knowledge and best practices, while always seeking improvements and facilitating progress
What You Bring To The Table:
- Hands on experience developing for fast, high traffic public facing websites
- A firm believer in the full stack software engineering principle, with a “you-build-it-you-run-it" attitude (development, devops, cloudops, security, testing, etc)
- Proven ability to explore new technologies and helping the team to use them
- A passion for AI and how it applies to the SDLC
- Strong programming skills and software development best practices
- Strong testing principles, testing your own code to ensure production readiness
Must Have Experience:
- 4+ years developing reliable, highly available and scalable software systems
- Strong understanding of software architecture and design patterns
- Firm grasp of clean code principles and coding standards
- Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development.
- Experience integrating AI tooling into your development environment for streamlined usage.
- Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
- Strong proficiency with backend development (Typescript, Node.js)
- Functional knowledge of PHP for legacy WordPress applications
- Experience with .Net/C# is nice to have
- Strong proficiency with SQL & NoSQL datastores (GraphQL, Redis)
- Strong proficiency with frontend development (HTML, CSS, Javascript)
- Strong proficiency with component-based frameworks and SSR (Next.js/React, Vue.js)
- Hands on experience developing and maintaining 3rd party content management systems
- Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform and Docker
- Experience with APIs and developing in a service-based application environment
- Experience building optimized UIs for performance
- Proficiency with version control systems such as Git
- Experience working within a formal CI/CD pipeline
- Experience with logging, monitoring and alerting services like Datadog, Newrelic.
- Solid approach to testing and ensuring quality of code, Unit testing, backend and frontend
- Experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimize workflows. You should demonstrate the ability to integrate AI-driven solutions into your daily work — such as code generation, debugging, reviews, documentation, and decision support—to improve efficiency for yourself and your teams. A proactive approach to exploring and implementing AI tools that drive innovation and streamline development processes is highly valued.
What’s in it for you…
We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.
- Gym discounts
- Employee and Family Assistance program
- Virtual wellness events
- Conferences & training budget
- Regular internal training programs
- Financial planning with 3% matching Pension
- Competitive salary
- Annual bonus structure
The base salary range for this position is CAD $100k – $150k.
This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings.
For a career where you can drive our business and shape your future, apply now.
Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.
Ready to apply?
Apply to AutoTrader.ca
ML Engineer, II - Learned Behaviors
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Meet the Team:
As a Machine Learning Engineer II – Learned Behaviors, you will help develop and deploy behavior models that power decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to learned behavior modules that enable safe, efficient, and human-like driving in real-world freight operations.
This role focuses on building, validating, and improving machine learning models and infrastructure that support learned behavior systems within the autonomy stack.
What You’ll Do
- Develop and train machine learning models for learned behavior systems, including approaches such as behavior cloning, imitation learning, and reinforcement learning.
- Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack.
- Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios.
- Contribute to model training pipelines and data workflows, curating behavior datasets from simulation, fleet logs, and on-vehicle data.
- Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate learned behavior models across diverse driving environments.
- Help integrate learned behavior models into simulation and testing workflows, enabling faster iteration and more comprehensive validation.
- Support the development of tooling and infrastructure that improves experimentation speed, reproducibility, and model iteration.
- Contribute to technical discussions around model architecture and training strategies within the team.
What You’ll Need to Succeed
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience.
- Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments.
- Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.
- Experience training and evaluating machine learning models using large datasets and scalable compute environments.
- Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models.
- Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.
- Ability to collaborate with cross-functional teams to integrate ML models into larger software systems.
Bonus Points!
- Experience working in autonomous driving, robotics, or simulation-based training environments.
- Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray).
- Experience working with simulation environments or large-scale behavior datasets.
- Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems.
- Experience deploying ML models into production or real-world robotics systems.
Hiring Range for Job Opening
US Pay Range
$153,200 - $183,300 USD
Job ID: 102515
Ready to apply?
Apply to Torc Robotics
ML Engineer, II - Birds Eye View (BEV)
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Meet the Team:
As a Machine Learning Engineer II – Scene Model, you will help develop and deploy machine learning models that enable autonomous trucks to understand their surrounding environment. Our team focuses on building multi-modal perception systems in bird’s-eye-view (BEV) that fuse information from LiDAR, cameras, radar, and map inputs to produce a unified representation of the scene.
Working closely with teams across perception, prediction, planning, and platform infrastructure, you will contribute to models that detect objects, understand road structure, and generate spatial temporal representations used by downstream autonomy systems.
This role focuses on developing and improving deep learning models, training pipelines, and data workflows that power scene understanding within the autonomy stack.
What You’ll Do
- Develop and train machine learning models for scene understanding, including tasks such as object detection, road and lane prediction, semantic voxel grid classification, occupancy prediction, and map understanding in bird’s-eye-view (BEV) space.
- Implement production-quality ML code to support model training, evaluation, and inference within the perception stack.
- Analyze model performance, identify failure modes, and propose improvements to increase robustness across diverse driving environments and conditions.
- Identify and interpret objects, lanes, obstacles, and weather conditions in the driving environment.
- Apply data science techniques to analyze model performance, understand data distributions, and identify corner cases.
- Contribute to multi-modal perception systems, combining signals from LiDAR, cameras, radar, and map sources into unified scene representations.
- Work with large-scale datasets from simulation, fleet logs, and on-vehicle data to curate training data and improve model performance.
- Collaborate with data, deployment, and infrastructure teams to evaluate perception models and ensure reliable performance in real-world driving scenarios.
- Help integrate perception models into the autonomy stack and testing pipelines, enabling faster experimentation and iteration.
- Contribute to tooling and infrastructure that improves training efficiency, experiment tracking, and reproducibility.
- Participate in technical discussions around model architectures, sensor fusion strategies, and training approaches within the team.
What You’ll Need to Succeed
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience.
- Strong understanding of computer-vision, and machine learning basics.
- Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments.
- Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.
- Experience training and evaluating machine learning models using large datasets and scalable compute environments.
- Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models.
- Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.
- Ability to collaborate with cross-functional teams to integrate ML models into larger software systems.
- Good technical communication skills, written and verbal.
- A positive team-player mindset.
Bonus Points!
- PhD in machine learning or data science.
- Experience working in autonomous driving, robotics, or simulation-based training environments.
- Experience with distributed training frameworks or large-scale ML infrastructure (e.g., Ray, Anyscale).
- Experience working with simulation environments or large-scale behavior datasets.
- Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems.
- Experience deploying ML models into production or real-world robotics systems.
- Experience with multi-modal sensor fusion, including LiDAR, cameras, radar, or map inputs.
- Experience working with BEV representations, occupancy grids, or 3D scene representations.
Hiring Range for Job Opening
US Pay Range
$153,200 - $183,300 USD
Job ID: 102517
Ready to apply?
Apply to Torc Robotics
ML Engineer, II - End to End (E2E)
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Meet the Team:
As a Machine Learning Engineer II – End-to-End, you will help develop and deploy End-to-End models that power both perception and decision-making for autonomous trucks. Working closely with teams across perception, prediction, planning, and safety, you will contribute to End-to-End models that enable safe, efficient, and human-like driving in real-world freight operations.
This role focuses on building, validating, and improving machine learning models and infrastructure that support End-to-End systems within the autonomy stack.
What You’ll Do
- Develop and train machine learning models for End-to-End percetion and planning, including approaches such as imitation learning and reinforcement learning.
- Implement production-quality ML code to support model training, evaluation, and inference within the autonomy stack.
- Analyze model performance, identify failure modes, and propose improvements to increase robustness and generalization across scenarios.
- Contribute to model training pipelines and data workflows, curating datasets from simulation, fleet logs, and on-vehicle data.
- Collaborate with simulation, validation, and autonomy engineering teams to test and evaluate End-to-End models across diverse driving environments.
- Help integrate End-to-End models into simulation and testing workflows, enabling faster iteration and more comprehensive validation.
- Support the development of tooling and infrastructure that improve experimentation speed, reproducibility, and model iteration.
- Contribute to technical discussions around model architecture and training strategies within the team.
What You’ll Need to Succeed
- Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience.
- Experience applying machine learning techniques such as computer vision, imitation learning, or reinforcement learning, to robotics, autonomous systems, or complex control environments.
- Strong programming skills in Python and PyTorch, with experience writing production-quality ML code.
- Experience training and evaluating machine learning models using large datasets and scalable compute environments.
- Understanding of ML architectures used in End-to-End systems, such as BEV models, Transformers, VLA, or diffusion models.
- Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines.
- Ability to collaborate with cross-functional teams to integrate ML models into larger software systems.
Bonus Points!
- Experience working in autonomous driving, robotics, or simulation-based training environments.
- Experience with reinforcement learning frameworks or distributed training systems (e.g., Ray).
- Experience with VLA or Neural Rendering.
- Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems.
- Experience deploying ML models into production or real-world robotics systems.
Hiring Range for Job Opening
US Pay Range
$153,200 - $183,300 USD
Job ID: 102514
Ready to apply?
Apply to Torc Robotics
Staff, ML Engineer - BEV
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About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team:
As a Staff Machine Learning Engineer specializing in BEV (Bird’s-Eye View) and Multi-Modal Perception, you will lead the development of next-generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment.
You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc’s autonomous driving stack.
This is a technical leadership role focused on model innovation and maturity, not downstream feature integration.
What You’ll Do
- Lead BEV model development: Define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding).
- Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.
- Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.
- Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.
- Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene configurations.
- Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
- Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.
- Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.
- Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or foundation models for 3D perception.
What You’ll Need to Succeed
- 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems
- M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).
- Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
- Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with large-scale data pipelines, distributed training, and experiment management systems.
- Demonstrated leadership in driving ML model innovation and mentoring technical teams.
Bonus Points!
- Experience with autonomous driving or robotics perception in production environments.
- Experience with MLOps and infrastructure tools (Ray)
- Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling.
- Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
- Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL).
- Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy).
Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.
Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.
Perks of Being a Full-time Torc’r (Canada)
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- Medical, dental, and vision for full-time employees
- RRSP plan with a 4% employer match
- Public Transit Subsidy (Montreal area only)
- Flexibility in schedule and generous paid vacation
- Company-wide holiday office closures
- Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
CAD Compensation Range: $209,300-313,800 CAD
Job ID: 102405
Ready to apply?
Apply to Torc Robotics
Staff, ML Engineer - Road & Lane Detection
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About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team:
As a Staff Machine Learning Engineer focused on Road & Lane Detection, you will lead the model development efforts that enable Torc’s autonomous vehicles to perceive and interpret road geometry, lane structures, and drivable surfaces with precision and robustness.
You’ll define the next generation of deep learning architectures and data-driven approaches that extract high-fidelity road and lane semantics from multi-modal sensor data — driving critical improvements in perception accuracy, stability, and scalability.
This is a technical leadership role focused on model innovation and maturity, not downstream feature integration.
What You’ll Do
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Own the model roadmap for Road & Lane Detection within the Model Dev ML org — from concept through production-grade model maturity.
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Research, design, and train advanced neural architectures (e.g., multi-camera BEV transformers, LiDAR-vision fusion models, topological lane graph networks) to detect, segment, and model road structures and lane connectivity.
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Lead data strategy for this domain — defining data curation, labeling policies, and active learning pipelines to capture long-tail scenarios (e.g., occlusions, complex merges, construction zones).
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Develop robust metrics and evaluation frameworks for lane and road geometry accuracy, temporal consistency, and cross-domain generalization.
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Advance foundational capabilities such as self-supervised pretraining, synthetic-to-real adaptation, and temporal modeling for road and lane understanding.
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Drive large-scale experiments — designing, running, and analyzing results from distributed training workflows and ablations to identify scalable improvements.
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Collaborate with other model dev/perception teams to ensure model coherence and interface consistency.
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Mentor engineers and scientists, setting best practices for model training, evaluation, and code quality.
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Stay ahead of the research frontier by evaluating and adapting emerging techniques (e.g., BEV-based large models, vectorized map prediction, lane graph transformers) to production-grade perception.
What You’ll Need to Succeed
- 10+ years of experience developing deep learning models for perception or computer vision at scale.
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M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience).
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Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation.
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Strong understanding of lane and road geometry modeling, camera calibration, and sensor projection.
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Proficiency with Python and modern ML frameworks (e.g., PyTorch, Lightning).
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Experience with distributed training pipelines, experiment management, and large-scale dataset handling.
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Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements.
Bonus Points!
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Experience developing ML models for autonomous driving, mapping, or ADAS systems.
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Familiarity with multi-modal fusion (camera, LiDAR, radar, HD maps).
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Hands-on experience with BEV-based and topological prediction models.
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Contributions to perception-related ML research (CVPR, NeurIPS, ICCV, ICLR, ICRA).
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Strong intuition for data quality, bias mitigation, and uncertainty modeling.
Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.
Perks of Being a Full-time Torc’r (Canada)
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- Medical, dental, and vision for full-time employees
- RRSP plan with a 4% employer match
- Public Transit Subsidy (Montreal area only)
- Flexibility in schedule and generous paid vacation
- Company-wide holiday office closures
- Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Hiring Range for Job Opening
CAD Compensation Range:
$209,300-313,800 CAD
Job ID: R-102402
Ready to apply?
Apply to Torc Robotics
DevSecOps Advisor
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Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols.
We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).
*A select number of positions require full-time in office attendance*
As a member of the Infrastructure Security team, you will act as a SME and advisor, playing a pivotal role in developing and implementing tools, controls and processes to build out our Cloud Security and Security Analytics programs. This role will provide you with the opportunity and autonomy to work in an advanced environment securing a wide range of technologies.
What You'll Be Doing:
- Help create and maintain a tactical security roadmap, initiatives, and improvements.
- Proactively identify security gaps and vulnerabilities within the infrastructure and develop plans to address them.
- Help develop security standards and guidelines.
- Develop & implement security tools, controls and automation for both cloud (AWS, Azure, GCP) and on-premises.
- Performing in-depth security architecture reviews and assessments.
- Work closely with various teams (e.g., Engineering, Operations, Compliance) to implement security measures and ensure consistent application of security policies.
- Govern and Implement security controls through Infrastructure as Code (IaC).
- Help develop and maintain our internal security analytics and data platform.
- Build data pipelines for ingesting posture and event information.
- Maintain comprehensive documentation of security configurations, policies, and procedures.
- Provide regular reports on security posture and key performance indicators (KPIs).
What you’ll need to be successful:
Must Haves:
- 3 - 5 years of experience working as DevOps, Cloud Engineer or Architect working with AWS, Azure and GCP.
- 1-3 years of experience managing and security infrastructure as code (IAC).
- Bachelor’s degree in Computer Science/Engineering, IT or Data Science.
- Solid experience securing and managing applications on Kubernetes.
- Experience scripting and parsing information in Python/BASH/GoLang.
- Solid understanding of scalability patterns applied to infrastructure architecture for high traffic systems.
- Good understanding of continuous integration and continuous delivery models and best practices.
- Excellent communication and time management skills.
- A love for making things efficient and reliable.
Nice To Haves
- Experience with data engineering and concepts such as ETL and Data Modeling.
- Experience with Gitlab.
- Industry Certifications (Security/DevOps/Data Analytics).
- Professional context switcher.
- Proactive and adept at taking initiative.
As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees
In this role you may be exposed to adult content
Ready to apply?
Apply to Aylo Careers
ML Engineer, II - App Engine
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About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
What You’ll Do
- Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
- Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
- Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
- SDK Feature development to support the creation of Virtual Driver Software
- Support Virtual Driver Division with their usage of the Application Engine
- Creation of high-quality code including test case development
What You’ll Need to Succeed
- Experience with Embedded Software Development, especially with a focus on GPUs
- Experience with TensorRT and CUDA
- Experience in the development of real-time distributed systems
- Profound knowledge of C++ and state of the art design principles
- Familiarity with machine learning technologies (e.g. PyTorch)
- Experience with Linux
- Degree: Masters in Computer Science or Electrical Engineering
Bonus Points
- Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
- Experience in autonomous robotic or vehicle systems.
- Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- A competitive compensation package that includes a bonus component and stock options
- 100% paid medical, dental, and vision premiums for full-time employees
- 401K plan with a 6% employer match
- Flexibility in schedule and generous paid vacation (available immediately after start date)
- AD+D and Life Insurance
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102580
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Apply to Torc Robotics
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.
Key Responsibilities
- Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
- Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
- Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.
- Establish, document, and maintain best practices for large-scale, distributed ML model development workflows.
Skills and Qualifications
- A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master’s or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience.
- 3+ years of experience in designing and implementing distributed ML training frameworks, with recent experience using e.g. Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, and/or verl.
- Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM).
- Experience with GPU profiling tools (e.g. PyTorch profiler, PyProf, NVIDIA Nsight).
- Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
- Familiarity with data infrastructures and platforms (e.g., vector databases).
- A track record of contributing to high-quality research projects in deep learning.
The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based on jurisdiction.
What we offer
- The opportunity to contribute to a unique mission with a major impact.
- Comprehensive health benefits (including mental health and wellness management account)
- 20 days of vacation per year upon start
- Employer contribution of 4% to your retirement savings, with no required employee matching
- Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
- A team of passionate world-class experts in their field
- A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation
About LawZero
LawZero is a non-profit organization committed to advancing research and creating technical solutions that enable safe-by-design AI systems. Its scientific direction is based on new research and methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world. Based in Montreal, LawZero’s research aims to build non-agentic AI that learns primarily to understand the world rather than to act in it, giving truthful answers to questions based on transparent and externalized probabilistic reasoning. Such AI systems could be used to accelerate scientific discovery, to provide oversight for agentic AI systems, and to advance the understanding of AI risks and how to avoid them. LawZero believes that AI should be cultivated as a global public good—developed and used safely towards human flourishing. For more information, visit www.lawzero.org
You belong here
At LawZero, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.
Your personal information will be collected and processed by LawZero to evaluate your application for employment in compliance with our Privacy Policy. Under privacy laws in force in your country of residence, you may have several privacy rights, such as to request access to your personal information or to request that your personal information be rectified or erased. Details on how you can exercise your rights can be found in our Privacy Policy.
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Machine Learning Engineer – Biometrics (Computer Vision)
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.
What You’ll Do
- Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
- Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.
- Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
- Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
- Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
- Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.
What We’re Looking For
- Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis.
- Deep expertise in computer vision and biometrics, especially face recognition.
- Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
- Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
- Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
- Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).
Nice to Have
- Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
- Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
- Familiarity with privacy, security, and compliance in biometric systems.
- Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
- Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
- Strong communication skills.
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities:
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.
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Ingénieur(e) technique expérimenté(e) - Simulation (Houdini) / Simulation (Houdini) - Senior Technical Engineer
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Les Films Sony Imageworks Québec Inc. sont situés sur le territoire traditionnel non cédé des Premières Nations Kanien’keha:ka (Mohawk). Nous nous engageons à respecter les terres ancestrales et à travailler avec les communautés en vue de la réconciliation.
Les Films Sony Imageworks Québec Inc.
700, rue Saint-Hubert, bureau 400, Montréal (QC) H2Y 0C1
Excellentes compétences de communication en français et en anglais pour exécuter certaines tâches liées au poste, notamment pour collaborer avec des équipes, fournisseurs ou partenaires situés à l’extérieur du Québec.
Les Films Sony Imageworks est un studio d'effets visuels et d'animation récompensé par un Oscar® et réputé pour ses effets visuels photoréalistes, ses animations dynamiques de créatures et de personnages, ainsi que ses longs métrages entièrement réalisés en images de synthèse.
DESCRIPTION DU POSTE :
Nous cherchons à agrandir notre équipe de développement dédiée à l'amélioration de nos outils et de notre flux de travail pour les effets de créatures, les foules, les environnements et les effets spéciaux. Nous recherchons un(e) ingénieur(e) technique hautement compétent qui se concentrera sur le développement et la mise en œuvre d'ensembles d'outils procéduraux robustes, performants et spécifiques à un domaine à l'aide de SideFX Houdini.
Ce poste exige un leadership technique solide et la capacité de travailler efficacement avec un minimum de supervision aux côtés d'un(e) ingénieur(e) logiciel principal(e) ou d'un(e) architecte. Le/La candidat(e) idéal(e) s'épanouit dans un environnement de production en constante évolution où les priorités peuvent changer rapidement.
Vos missions :
- Concevoir, développer et mettre en œuvre des systèmes procéduraux et des workflows évolutifs dans Houdini pour divers départements (effets spéciaux, créatures, foules, environnements).
- Créer, maintenir et optimiser des ressources numériques Houdini (OTL) robustes, en garantissant leur stabilité, leur facilité d'utilisation et leur conformité aux normes de production.
- Étendre le pipeline principal en développant, intégrant et prenant en charge des outils qui gèrent le flux de données, la publication des ressources et le contrôle des versions.
- Collaborer étroitement avec les artistes (créatures, effets spéciaux, éclairage) afin de recueillir les exigences et de résoudre les problèmes techniques, en fournissant une assistance pour les outils internes et commerciaux.
- Collaborer avec les ingénieurs d'autres équipes (ombrage, éclairage, rendu) afin d'assurer une intégration transparente des ressources procédurales dans le pipeline global de rendu et de composition.
- Documenter de manière exhaustive les outils et les flux de travail à l'intention des équipes artistiques et techniques au sens large.
Expérience et compétences techniques requises :
- 3 à 5 ans d'expérience professionnelle dans le développement de workflows et d'outils procéduraux dans un environnement de production d'effets visuels, d'animation ou de jeux vidéo.
- Connaissance avérée de l'environnement Houdini, y compris la création d'outils, l'optimisation et les techniques de workflow.
- Maîtrise approfondie de Python et VEX pour l'écriture de nœuds personnalisés et efficaces, et de boîte à outils.
- Expérience avérée dans le développement et le support d'outils de pipeline de production et de livraison d'actifs.
- Expérience dans l'utilisation de l'API Houdini et d'autres DCC tels que Katana.
- Bonne maîtrise des mathématiques 3D, de l'algèbre linéaire et des structures de données appliquées au traitement et à la simulation géométriques.
- Solides compétences en communication orale et écrite, avec une approche collaborative de la résolution de problèmes.
- Capacité à mener à bien plusieurs tâches prioritaires concurrentes avec peu de supervision.
Compétences souhaitées :
- Fait preuve de curiosité et de jugement pour identifier les problèmes plus larges ou systémiques et recommande des approches créatives pour résoudre les problèmes plus généraux.
- Expérience documentée dans le développement d'applications de bureau à l'aide de PyQt/PySide pour créer des interfaces utilisateur personnalisées.
- Expérience avec C++ pour le développement de plugins haute performance.
- Expérience en science des données, apprentissage automatique ou techniques de simulation complexes (par exemple, dynamique des fluides, tissus) dans un contexte de production.
- Licence ou master en informatique, médias numériques ou dans un domaine technique connexe.
Les avantages sociaux sont conformes à la politique de l’entreprise et comprennent les soins de santé, le remboursement des frais de scolarité, les REER, les congés maladie et les vacances, ainsi que les augmentations salariales praticables. Le salaire de base réel offert dépendra de divers facteurs, y compris, sans s’y limiter, aux qualifications du candidat ou de la candidate pour le poste, aux années d’expérience pertinente, au niveau de scolarité atteint, aux certifications ou autres permis professionnels détenus et, le cas échéant, à l’emplacement du poste.
Nous valorisons les perspectives uniques et souhaitons que des talents diversifiés et distincts travaillent avec nous. Nous encourageons les candidats de toutes identités à postuler.
*Sony Pictures Entertainment souscrit au principe de l’égalité d’accès à l’emploi. Nous évaluons les candidats qualifiés sans égard à la race, à la couleur, à la religion, au sexe, à l’origine nationale, au handicap, à l’âge, à l’orientation sexuelle, à l’identité de genre ou à d’autres caractéristiques protégées.
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Les Films Sony Imageworks is located on unceded and traditional territories of the Kanien'keha:ka (Mohawk) people.
Les Films Sony Imageworks Québec Inc.
700 Rue Saint-Hubert, Suite 400, Montreal QC HY2 0C1
Project based, Full Time
Excellent communication skills in French and English are required to perform certain job-related tasks, particularly when collaborating with teams, vendors, or partners located outside Québec.
Benefits per company policy: include healthcare, tuition reimbursement, RRSP's, Sick and Vacation leave, standard increases as applicable
Role overview:
We are looking to expand our development team dedicated to enhancing our Creature Effect, Crowds, Environment, and FX tools and workflow. We are looking for a highly proficient Technical Engineer to focus on the development and implementation of robust, high-performance, and domain-specific procedural toolsets using SideFX Houdini.
This role requires strong technical leadership and the ability to work effectively with minimal supervision alongside a Lead Software Engineer or Architect. The ideal candidate thrives in a fast-paced production environment where priorities can shift quickly.
What You’ll Be Doing:
- Design, develop, and implement scalable procedural systems and workflows within Houdini for various departments (FX, Creature, Crowds, Environments).
- Create, maintain, and optimize robust Houdini Digital Assets (OTLs), ensuring stability, ease of use, and adherence to production standards.
- Extend the core pipeline by developing, integrating, and supporting tools that manage data flow, asset publishing, and version control.
- Collaborate closely with artists (Creature, FX, Lighting) to gather requirements and troubleshoot technical issues, providing support for both in-house and commercial tools.
- Partner with engineers across other teams (Shading, Lighting, Rendering) to ensure seamless integration of procedural assets into the overall rendering and compositing pipeline.
- Document tools and workflows thoroughly for use by the wider artistic and engineering teams.
Required Technical Experience & Skills:
- 3-5+ Years of professional experience in developing procedural workflows and tools in a VFX, Animation, or Game production environment.
- Demonstrated knowledge of the Houdini environment, including tool creation, optimization, and workflow techniques.
- Strong proficiency in Python and VEX for writing efficient, custom nodes, and tool wrappers.
- Proven experience developing and supporting production pipeline tools and asset delivery.
- Experience leveraging the Houdini API and other DCCs like Katana.
- Strong grasp of 3D math, linear algebra, and data structures as applied to geometry processing and simulation.
- Strong verbal and written communication skills, with a collaborative approach to problem-solving.
- Capable of delivering on multiple competing priorities with little supervision.
Preferred skills:
- Applies curiosity and judgment to identify broader or systemic issues and recommends creative approaches that address wider issues.
- Documented experience with desktop application development using PyQt/PySide to create custom user interfaces.
We value unique perspectives, and want diverse, unique talent to work with us. We encourage candidates from all identities to apply.
*Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, colour, religion, sex, national origin, disability, age, sexual orientation, gender identity, or other protected characteristics.
Ready to apply?
Apply to Sony Pictures Imageworks
Senior Software Development Engineer in Test
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We're looking for a Senior SDET who thinks deeply about quality in systems that are inherently non-deterministic. Agentic AI doesn't fail the same way traditional software does — and testing it requires a new toolkit: eval frameworks, prompt regression, tool-call reliability, adversarial scenarios, and more.
You'll own the entire quality infrastructure across our product portfolio — from test data and CI pipelines to the standards and culture of how we ship. You'll work directly with product, devops, and AI engineering, with no layers between your decisions and their impact.
What You'll Own
- Test infrastructure, test data, test processes across the entire product portfolio while working with Devops and Infrastructure engineers
- Test Framework - build and enhance automated testing frameworks and tools that facilitate automated testing across different layers of application.
- The reliability bar for all Web applications, Mobile applications and AI agent outputs — from hallucination detection to latency regressions and tool-call correctness
- Test infrastructure, test data, and test processes across the entire product portfolio, alongside DevOps and Infrastructure engineers
- Automated testing frameworks that span all layers of the application — unit, integration, contract, and end-to-end
- Evaluation frameworks designed for LLM-based systems: non-deterministic output scoring, prompt regression, and adversarial test suites
- HIPAA-aware test data management — de-identification pipelines, synthetic data generation, and audit trail validation
- Integration of automated tests into CI/CD pipelines for continuous delivery confidence
- Build stability monitoring and release gate enforcement before any deployment
- Documentation of test plans, test results, and evaluation standards to support knowledge sharing
- The "safety net" for product quality — you define what done looks like
What We're Looking For
- 8+ years of hands-on SDET experience, with recent work building or testing agentic AI systems (single- or multi-agent) in production
- Experience in healthcare or life sciences — you understand what's at stake when a system fails in this domain
- A true tester's mindset: you seek out edge cases, adversarial inputs, and failure modes others overlook
- Proficiency across the full test pyramid — unit, integration, system, performance, and exploratory — plus familiarity with LLM-specific evaluation approaches
- Strong debugging skills across multi-tier web and mobile architectures; comfortable jumping into production incidents
- Proficiency with testing frameworks such as Jest, React Testing Library, Supertest, and pytest.
- Hands-on experience with testing tools like Cypress, Playwright, Supertest, and pytest (including requests or Selenium-based testing)
- Experience testing RESTful APIs using tools like Postman or Supertest
- Solid command of JavaScript and Python
Bonus Points
- Multi-cloud experience (AWS, Azure, GCP)
- Experience with red-teaming or adversarial testing of AI systems
- Native mobile testing experience (iOS, Android)
- Prior work with 21 CFR Part 11, GxP, or similar regulated-software validation frameworks
Why Medeloop
- Ownership from day one: small team, high-trust, no layers between your work and its impact
- Technically ambitious: you'll build AI-powered workflows, not just support them
- Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build
Ready to apply?
Apply to Medeloop
We are seeking a Senior DevOps & Site Reliability Engineer to own the reliability, scalability, performance, and operational excellence of Medeloop’s platform. This role blends deep DevOps engineering—CI/CD pipelines, infrastructure as code, and cloud architecture—with SRE discipline: SLOs, incident management, capacity planning, observability and a relentless focus on system uptime. You will be the bridge between development and operations, ensuring our clinical research products are always available, performant, and secure for the healthcare organizations that depend on them.
What You'll Own
Cloud Infrastructure & Architecture
- Design, implement, and manage scalable, secure, and highly available cloud infrastructure on AWS - infrastructure as code (IaC) using AWS CDK, CloudFormation, or Terraform, ensuring all environments are version-controlled and reproducible.
- Architect multi-region and disaster recovery strategies that meet healthcare uptime requirements.
- Manage containerized workloads using Docker and Kubernetes, optimizing for cost, performance, and resilience.
Site Reliability Engineering
- Define, implement, and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs) across all production services.
- Build and maintain observability stacks (DataDog, AWS CloudWatch, Sentry) covering metrics, logs, traces, and alerting.
- Lead incident response: triage, mitigate, and drive blameless post-incident reviews with actionable follow-ups.
- Conduct capacity planning and performance engineering to ensure the platform scales ahead of demand.
- Champion error budgets and use them to balance feature velocity with system stability.
- Identify, assess, and mitigate operational risks by collaborating with engineering and product teams to evaluate impact and likelihood before they become incidents.
- Participate in and help structure an on-call rotation, ensuring clear escalation paths and fair distribution of after-hours coverage.
CI/CD & Automation
- Build self-service tooling and runbooks that reduce toil and empower development teams to ship independently.
- Design and maintain CI/CD pipelines (GitHub Actions) that enable fast, safe, and repeatable deployments.
- Automate security scanning (SAST, DAST) within pipelines and collaborate with engineering to remediate findings.
- Implement progressive delivery strategies such as canary deployments, blue-green releases, and feature flags.
- Proficiency in scripting languages (Python, Bash) for automation, troubleshooting, and building reliability tooling.
- Track and drive down operational toil, targeting less than 50% of team time spent on repetitive manual work.
- Evaluate and manage change risk for production deployments, maintaining change review processes that balance speed with stability.
Security & Compliance
- Ensure infrastructure meets healthcare compliance standards (HIPAA, SOC 2) through policy-as-code, encryption, and access controls.
- Manage networking security (VPCs, subnets, security groups, WAFs) and identity/authentication systems (AWS Cognito, Auth0, OAuth2, SSO).
- Conduct regular security reviews, vulnerability assessments, and patching across the infrastructure estate.
Collaboration & Culture
- Partner closely with product and engineering teams to embed reliability thinking into the software development lifecycle.
- Develop and maintain comprehensive documentation for infrastructure, runbooks, and operational playbooks.
- Mentor junior engineers on DevOps and SRE best practices, fostering a culture of ownership and continuous improvement.
- Stay current with advancements in cloud technologies, DevOps tooling, and SRE methodologies.
- Own and evolve internal developer platform tooling — including deployment workflows (GitOps/Flux), bug tracking integrations, and developer self-service portals.
What We're Looking For
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 7+ years of combined experience in DevOps and/or Site Reliability Engineering roles, with at least 2 years in a senior capacity.
- Deep proficiency with AWS services
- Deep experience with observability and monitoring platforms such as DataDog, AWS CloudWatch, and Sentry.
- Strong experience building and maintaining CI/CD pipelines with GitHub Actions or equivalent tools.
- Expertise in infrastructure as code using AWS CDK, CloudFormation, or Terraform.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
- Proven track record of defining and operating against SLOs/SLIs and managing incident response processes.
- Solid understanding of networking (VPCs, subnets, load balancing, DNS), security, and compliance best practices.
- Experience with authentication and authorization systems including AWS Cognito, Auth0, OAuth2, and SSO.
- Proactive, self-directed mindset with a bias toward action and taking initiative.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively across teams.
- Strong communication skills—able to explain complex infrastructure decisions clearly to technical and non-technical stakeholders.
- Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.
Bonus Points
- Multi-cloud experience (AWS, Azure, GCP)
- Familiarity with healthcare data standards, compliance, and protocols such as HIPAA, HL7 FHIR, OMOP, and i2b2.
- Experience with chaos engineering practices and tools (e.g., AWS Fault Injection Simulator, Gremlin).
- Prior experience in a healthcare or life sciences company operating under strict regulatory requirements.
- Contributions to open-source infrastructure or SRE tooling.
- Relevant certifications such as AWS Solutions Architect, Certified Kubernetes Administrator (CKA), or Google SRE certification.
Why Medeloop
- Ownership from day one: small team, high-trust, no layers between your work and its impact
- Technically ambitious: you'll build AI-powered workflows, not just support them
- Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
- Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build
Ready to apply?
Apply to Medeloop
Context Engineer
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CapIntel is a software platform built for wealth management enterprises to help financial advisors explain complex investment strategies to their clients. Advisors at some of the biggest banks across North America are winning trust by using CapIntel to easily compare investments and create compelling, educational presentations. Ultimately, we're focused on investors getting better service, understanding their investments, and feeling at ease knowing their future is secure.
Since launching in 2019, CapIntel has seen rapid adoption and industry recognition, earning top placements in Deloitte’s Technology Fast 50 Canada and Fast 500 North America in 2025, ranking us among the fastest-growing technology companies. To support this momentum, we’re growing our team rapidly—investing in people who drive innovation at scale to expand our impact across the North American wealth management industry.
About the Role
As a Context Engineer at CapIntel, you'll sit at the intersection of AI infrastructure and engineering. You will be responsible for how large language models are integrated into our core platform and how our engineering team adopts agentic workflows. This is a hands-on, production-focused role, not a research one. You'll build the systems that make our AI features reliable, accurate, and scalable for the wealth management enterprises that depend on us.
You'll be embedded in development teams working closely with engineers, product managers, and domain experts across the organization to design and deliver LLM-powered capabilities that directly enhance the advisor and client experience. As one of the first practitioners in this discipline at CapIntel, you'll also help define what context engineering looks like here: setting patterns and practices the broader team can build on.
This role is ideal for someone who thinks in systems, cares about production reliability over demo-day performance, and is energized by working in a discipline that is evolving quickly.
What You'll Do
- Design and implement LLM-powered features into our core application via model APIs (e.g. Anthropic, OpenAI, Cohere), with a focus on reliability and production-readiness
- Architect and maintain retrieval-augmented generation (RAG) pipelines, connecting language models to internal knowledge bases, databases, and live data sources
- Manage context window strategy, determining what information enters the model, when, in what format, and at what level of compression to optimise for accuracy, cost, and latency
- Design and implement agentic workflows enabling the platform to handle multi-step, autonomous tasks
- Build guardrail and output validation layers that constrain model behaviour and ensure AI features act within well-defined, compliant boundaries
- Develop reusable agent primitives, prompt templates, and workflow components that other engineers can build on independently
- Build evaluation frameworks to measure context effectiveness, output quality, and agent reliability in production
- Monitor deployed AI systems for failure patterns and implement mitigation strategies, feeding learnings back into continuous improvement cycles
- Collaborate with Product, Product Engineering, Implementation, and Data teams to translate business requirements, and proof of concepts into production AI system specifications
- Act as an internal practitioner and resource helping upskill the broader engineering team on context engineering principles and agentic best practices
What We're Looking For
- 5+ years of professional software engineering experience, with at least 1–2 years working with LLMs in a production context
- Strong experience with Python or Node and building API-integrated backend services
- Hands-on experience with an orchestration or execution framework
- Working knowledge of RAG architecture, vector databases (e.g. Pinecone, pgVector, AWS OpenSearch), and semantic search
- Familiarity with context management techniques: summarisation, chunking, session splitting, and memory strategies
- Experience building or consuming REST APIs and integrating with third-party services
- Comfortable collaborating with cross-functional teams in a fast-paced, high-growth environment
- Strong problem-solving instincts and a willingness to learn and adapt as the field evolves
Nice to Have
- Experience with the Model Context Protocol (MCP) or similar tool-integration standards
- Familiarity with LLMOps practices: tracing, observability (e.g. LangSmith, Datadog), and model versioning
- Exposure to multi-agent architectures and orchestration patterns
- Knowledge of AI output validation, context safety, and governance considerations particularly relevant in regulated industries like financial services
- Familiarity with AWS or cloud-based infrastructure and containerised deployments (Docker, Kubernetes)
- Ability to communicate technical concepts clearly to both technical and non-technical partners
At CapIntel, we design compensation with intention. Each role is assessed against the impact, skills, and experience it requires, and we align our pay to competitive market data so candidates know what to expect from the start.
Your final offer will reflect your experience, skillset, and location. The listed range is a guideline, and the range for this role may be modified.
Compensation at CapIntel goes beyond base pay. Depending on the role, total rewards may include variable pay, equity, comprehensive benefits, flexible time off, and dedicated opportunities for growth and development.
If you’d like to understand more about our approach, we’re happy to walk through it during the hiring process.
Not sure you meet every requirement?
We care most about mindset: your drive, curiosity and commitment to delivering great work. While experience matters, we know that careers aren’t always linear. If this role excites you and you believe you can make an impact with us, we want to hear from you.
Why you'll enjoy working here
Learn more about life at CapIntel on our Careers page, including the virtues that inspire how we work and the perks and benefits designed to support your growth and well-being. We’re a team built on trust, respect, and collaboration. This powers everything we do and creates a space to challenge and elevate each other as we work towards our shared vision. If this speaks to you, we’d be excited to have you with us.
Ready to apply?
Apply to CapIntel
Manager, Software Development (EVV & Escalation Engineering)
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About AlayaCare
At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.
With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.
About the Role
We are seeking a Manager, Software Development to join our EVV (Electronic Visit Verification), VV (Visit Verification) as well as IVR (Telephony) team; he group ensures we can reliably prove care was delivered, enabling our customers to receive payment. Reporting to the Director of Engineering, you will lead a cross‑functional team of engineers; how visits are captured and verified (mobile, web, IVR), how verified visits are transformed into compliant EVV data for states and payers and the reliability and performance of these flows at scale.
You’ll be accountable for team health, technical direction, and delivery: keeping critical customer workflows stable while evolving the architecture toward more scalable, event‑driven systems.
What You’ll Do
People & Coaching
- Coach, and develop a team of backend and full‑stack engineers working on EVV, Visit Verification, and IVR.
- Participate in the recruiting process to grow the team.
- Provide clear expectations, regular feedback, and career development aligned with our engineering career framework.
- Cultivate a team culture grounded in ownership, growth, and mutual trust.
Performance & Delivery
- Drive planning, execution, and risk management for multiple workstreams in parallel (e.g., state integrations, EVV platform improvements, performance work).
- Maintain a single, coherent view of priorities, scope, and timelines, and keep stakeholders informed.
- Re‑plan when reality changes: call out risks early, renegotiate scope, and avoid quiet date slips.
- Take end‑to‑end responsibility for reliability of EVV/VV/IVR flows, including internal SLAs for high‑severity customer issues.
- Partner with our reliability and customer teams to triage, resolve, and prevent incidents.
- Leverage AI and emerging technologies to remove bottlenecks and accelerate execution while maintaining full accountability for quality and outcomes.
- Encourage thoughtful experimentation that supports the team’s effectiveness, articulates domain challenges with clarity and precision, and invests in innovation deliberately, balancing opportunity with operational discipline.
- Ensure root‑cause analyses are completed and lead to real follow‑ups in code, configuration, or process.
- Partner closely with Product, Customer Success, Managed Services, and other engineering teams (e.g., Revenue Cycle Management teams, Platform, Data).
- Turn recurring issues into shared initiatives (for example, mapping/config improvements with billing teams, better tooling with platform and data).
- Represent the team in planning forums, status reviews, and customer‑facing discussions when needed.
Technical & Operations
- Work with senior engineers to define and evolve the architecture for:
- Event-driven system migration.
- Visit Verification performance (query patterns, background jobs, pagination, caching).
- IVR call flows and their integration with the rest of the platform.
- Review key designs and pull requests (without being the primary coder) to highlight risks and align work with longer‑term goals.
- Champion end‑to‑end visibility for visits: from capture, through verification, into EVV exports, and on to payers and aggregators.
- Sponsor “safety net” work (e.g., reports and tools that detect missing or duplicated visits before they impact billing).
- Work with reliability and data teams to ensure the right monitoring, alerting, and dashboards are in place.
What You Bring to the Team
- Bachelor’s or advanced degree in computer science, mathematics, or related fields.
- 5+ years of hands-on experience in a SaaS environment, leading backend or full‑stack teams.
- Proven track record delivering complex projects with multiple stakeholders and dependencies.
- Hands‑on background as a software engineer; comfortable discussing designs, code, and trade‑offs in systems built with technologies like Python, SQL, and AWS/Kubernetes (or similar stacks).
- Experience improving reliability: incident response, post‑incident review, and building the guardrails and tooling that reduce incidents over time.
- Strong organizational and project management skills: you can coordinate several streams of work at once and keep plans and backlogs up to date.
- Excellent communication skills - able to explain technical and domain concepts to both engineers and non‑technical stakeholders.
- High ownership, empathy, and resilience: comfortable working in a domain with legacy systems, regulatory constraints, and partial migrations.
- Experience in healthcare, payments, or other regulated domains where correctness and auditability matter is an asset.
- Experience with feature flagging, modern observability tools, and CI/CD practices is an asset.
- Familiarity with event‑driven architectures, background job systems, and file‑based or API‑based integrations with external partners is an asset.
- Exposure to EVV, Medicaid, or Revenue Cycle Management concepts is an asset.
- Bilingual in French and English
Why Join AlayaCare?
Work With Purpose
At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every customer interaction contributes to making care more connected, accessible, and human.
Grow in a High-Trust Culture
We believe in transparency, feedback, and assuming positive intent. Here, you’ll feel safe to share your ideas and career goals, and be supported to achieve them through mentorship, career mobility, and a promote-from-within philosophy.
Balance That Works for You
We value flexibility and well-being. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life.
Benefits That Matter
- Equity in a well-funded, scaling company.
- Comprehensive health benefits, telemedicine, and lifestyle spending accounts.
- Parental leave top-up and family support programs.
Inclusive by Design
We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.
Location and Work Model
This role is based in Montreal. At AlayaCare, our hybrid model includes 2 set in-office collaboration days/week, and it is expected that team members are present in the office on those days to foster connection, innovation, and teamwork.
Ready to Join Us?
Apply today and be part of a company that makes a real difference in the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.
AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.
We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to careers@alayacare.com.
Ready to apply?
Apply to AlayaCare