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

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

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.

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.

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.

Are 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.  

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

Concevoir 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

Mener 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.

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.

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

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

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.

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.

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.

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. 

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.

Why You’ll Love This Role

We are seeking an Enterprise Regional Sales Manager who is ambitious, adaptable, and enthusiastic. A successful Enterprise Regional Sales Manager at Cribl will clearly articulate our value proposition and execute on proven sales processes. This Regional Sales Manager will come with accountability and ownership, specifically in meeting leading indicators. Most importantly, we put our customers first, always. We are looking for an Account Executive who will do just that. The ideal candidate will come with expertise in creating customer centric solutions, and be able to build strong enduring relationships with our customers.

Please note, this is a remote position based out of Montreal.  We are looking for candidates to live local to the territory.

As An Active Member Of Our Team, You Will…

• Develop a business plan to overachieve sales goals
• Manage and maintain the entire sales ecosystem from generating leads through closing
• Help customers understand the value of Cribl during the sales process
• Articulate our value proposition up and down the organization, from engineer up to CxO
• Forecasting predictably and hitting sales targets
• We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours

If You’ve Got It - We Want It

• 7+ years of Enterprise Security Sales experience selling into Fortune Level Organizations calling on Security (SIEM & Observability) & IT Personas (CISCO/CIO’s)
• Experience working with at least one earlier stage start-up organization <1000 employees or has demonstrated entrepreneurial skills throughout their career
• Proven Track record of landing and expanding 7 figure deals 
• Success selling to G2K companies, and developed at least one new logo from scratch
• Experience selling through a channel led motion
• Able to create demand in a territory and selling un-budgeted solutions
• Background using MEDDIC

Base Salary Range: 200,000 - 210,000 CAD

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity. The total compensation offered for this position will include a commission/incentive plan.

#LI-ML1
#LI-Remote

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

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. 

Technical Enablement Specialist

Reports To: VP, Services

Location: Montreal, QC /(Hybrid: work from home or the office, your choice)

About us

Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world.

About the role

The Technical Enablement Specialist, part of the Services Department, is a critical, multi-faceted role responsible for accelerating business growth and operational efficiency by bridging product gaps through custom technical solutions. This individual leverages deep expertise in APIs, scripting, and development to build bespoke client integrations, deploy non-productizable applications, automate internal service processes, and lead technical training initiatives across Broadsign, directly impacting customer success and internal team scalability.

What to expect

Internal Training & Onboarding

• Curriculum Design: Develop and maintain a rigorous onboarding program for Services roles (Support Specialist, Technical Specialists, Product Specialists, Technical Account Managers and Programmatic Technical Specialists)
• Continuous Learning: Participate in Product review and lead "Level Up" sessions on new product features, advanced troubleshooting, and emerging industry trends.
• Knowledge Management: Maintain a searchable internal knowledge base to ensure technical "tribal knowledge" is documented and accessible.

External Training & Certification Program

• Certification Roadmap: Design and manage a tiered external certification program that validates the expertise of our partners and customers.
• Content Creation: Produce high-quality external-facing technical labs, video tutorials, and assessment exams.
• LMS Administration: Manage the Learning Management System (LMS) to track external user progress, badge issuance, and program ROI.

Services Strategy & Operational Efficiency

• Leadership Partnership: Collaborate with the VP/Directors of Services to pinpoint new service offerings or address existing operational shortcomings, thereby enabling the Services team to scale effectively in support of Broadsign's growth objectives.
• Process Optimization: Collaborate closely with the VP and Directors of Services to ensure all Services team members comply with and adhere to documented and maintained standard operating procedures (SOPs). You will also be responsible for documenting and maintaining SOPs.
• Data-Driven Enablement: Collaborate with the VP/Directors of Services to establish, define, and oversee key performance indicator (KPI) reporting for the Services team. This involves working with the internal Data Services team to develop and build the necessary reports.
• AI-Assistance Tool Optimization and Content Improvement: Monitor and analyze the performance of the customer-facing AI-Assistance tool. This involves reviewing customer feedback, defining necessary actions for improvement (e.g., enhancing efficiency and accuracy), and either creating new knowledge base articles or collaborating with the Product Documentation team to update and improve existing customer-facing content.

What you need to perform in this job

• Experience in the adtech industry
• 3-5+ years of experience in a technical role (Sales Engineer, Consultant,  Technical Trainer or Technical Enablement Specialist) 
• Proven track record of creating educational content that is engaging, not just informative. You know how to explain complex concepts to a beginner. As an international company, being able to use technology to provide multilingual content is essential.
• Successfully created and managed an external certification program, achieving a high rate of participation.
• Analyze business operations to identify inefficiencies, then define, implement, and/or oversee solutions for process improvements.
• Proficiency in utilizing Learning Management Systems (LMS) like Absorb LMS and Customer Relationship Management (CRM) tools like Salesforce is essential. Additionally, experience with content creation tools is required.
• Experience with Salesforce Agentforce or equivalent AI productivity tools is a significant plus.

What we bring to the table

• Retirement Savings: Group RRSP with a 50% employer matching up to 4% of your salary.
• Wellness: $500 annual Wellness fund for mental/physical health and office-related expenses.
• Comprehensive Benefits: Complete company insurance plan (health, dental, vision, travel) effective from day one (100% employer-paid). $500 annual Health Care Savings Account (HCSA) for additional health-related expenses.Unlimited access to the virtual healthcare platform (Telus Health).
• Paid Time Off: Minimum 3 weeks vacation, 5 floater days, 5 sick/personal days, and 2 volunteer days.
• Financial Perks: Transportation reimbursement for travel to a Broadsign office.
• Family Support: Parental leave salary supplement.
• Growth Opportunities: Training & development opportunities with a yearly budget to support professional growth, 3 paid training days per year.

At Broadsign, we value the varied social identities that make up our community. We recognize talent comes in different forms and encourage applications that reflect different backgrounds and experiences. Our promise is to be an inclusive employer and partner, open to learning, with thoughtful strategies and practices that amplify the different voices of our industry.

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and partners in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French.

Fluent English is required for this position in order to communicate with colleagues, clients and partners (or suppliers) located outside Quebec and to understand the technical and scientific documentation used in our industry

About The Role  

Join our applications engineering team as an Additive Applications Engineer and become the go-to technical resource for our customers. In this customer-facing role, you'll be the first line of support, helping businesses successfully integrate our 3D printing solutions into their workflows through hands-on troubleshooting, on-site training, and proactive guidance. You'll work closely with both customers and internal teams to solve real problems and drive meaningful outcomes. 

What You Will Do  

• Serve as the primary technical point of contact for customers, diagnosing and resolving printing and process challenges with a solutions-first mindset 
• Conduct structured root-cause analyses and failure investigations to resolve recurring or complex issues 
• Deliver on-site customer training, installations, and advanced troubleshooting visits across North America 
• Develop material profiles and optimize 3D printing process parameters across a range of applications and materials 
• Create high-quality training materials, printing guides, and technical documentation that empower customers to self-serve 
• Apply Design for Additive Manufacturing (DfAM) principles to support customers with complex geometry and process challenges 
• Conduct material testing and characterization studies to improve print quality and reliability 
• Log customer interactions, cases, and follow-ups accurately in the CRM (HubSpot) 
• Provide pre-sales technical support and design consultation 
• Represent AON3D at trade shows, conferences, and customer meetings 
• Contribute to application notes and case studies that support the broader customer base 

What We Are Looking For  

• Post-secondary degree in engineering, science, additive manufacturing, or a related technical field 
• 3+ years of experience in an applications engineering or technical support role within the 3D printing or advanced manufacturing industry 
• Strong troubleshooting instincts and comfort with structured root-cause analysis 
• Genuine interest in working directly with customers and solving their technical challenges 
• Proficiency with CAD software and DfAM principles 
• Experience with FFF/FDM 3D printing processes and slicing software (PrusaSlicer or similar) 
• Excellent written and verbal communication skills in English 
• Ability to travel visa-free within Canada and the United States (up to 25% of the time) 
• Preferred: 
  • Experience with HubSpot or similar CRM platforms for managing customer cases and communications 
  • Hands-on experience with high-performance engineering materials (PEEK, PEKK, PEI, PI) 
  • Knowledge of thermoplastic material science and industrial applications 
  • Familiarity with quality management systems (ISO 9001, AS9100) 
  • Experience with design of experiments (DOE) or statistical analysis 
  • Background in manufacturing processes beyond additive manufacturing 
  • Project management experience 

Location and Work Model  

• Location: Montreal 
• Work model: Hybrid 
• Employment type: Full-time, Permanent 
• Travel: Willingness and ability to travel within Canada and the United States, up to 25% for customer visits and industry events 

Push the boundaries of what Coveo can do, one solution at a time

How do you turn ambitious use cases into real, working solutions that prove their value fast? As a Forward Deployed Engineer, you bring ideas to life through hands-on prototyping, transforming complex requirements into tangible, high-impact solutions.

You’ll operate at the edge of what’s possible with Coveo, working directly with customers and internal teams to validate new use cases, push product boundaries, and shape what comes next, before it reaches production.

As our Forward Deployed Engineer, you will:

• Disambiguate and refine customer needs and requirements to shape a clear and compelling use case and solution
• Build working prototypes and technical proofs based on approved use cases and architectures
• Translate business and architectural requirements into functional, testable solutions
• Validate feasibility, performance, and scalability through hands-on experimentation
• Iterate quickly to refine solutions and accelerate readiness for production
• Collaborate closely with Technical Engagement Managers and Technical Success Architects to ensure alignment with architectural direction
• Generate reusable solution patterns and share implementation insights across teams

Here is what will qualify you for the role:

• 7+ years of hands-on experience in software engineering, system integration, or related fields
• Strong ability to prototype across application programming interfaces (API), data pipelines, and front-end/back-end systems
• Experience working in ambiguous, high-impact environments requiring rapid iteration
• Strong problem-solving skills with an experimentation-driven mindset

What will make you stand out:

• Experience working directly with customers in technical, solution-oriented roles
• Ability to navigate between business context and deep technical execution
• Curiosity and drive to explore new approaches and push product capabilities further
• Experience contributing insights that influence product or platform evolution

Do you think you can bring this role to life? Or add your own color?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

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: 

Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale.  We are the team responsible for enabling the full ML experimentation process, from ideation to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format.  We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight. 

What You'll Do: 

You will work to build, maintain and improve our Torc ML frameworks including the following tools:

• Cloud tooling
• Terraform, AWS Managed Services, EKS, Ray
• Data ops
• Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
• ML Development pipeline
• Python, Ray, PyTorch, Lightning, Gymnasium
• Logging & aggregation, Experiment tracking, Model registry & lineage
• Visualization & dashboarding (e.g., tableau, voxel51, rerun) 
• Design organization wide systems and platforms for ML Ops.
• Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
• Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
• You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.

What You'll Need to Succeed: 

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
• Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
• Experience with large scale distributed training, specifically working with Ray.
• You are well versed in open-source software and make contributions.
• You have built ML solutions that have reached production
• You feel comfortable with the data science and ML iteration/lifecycle.
• You can balance multiple stakeholders when designing components of the ML development lifecycle.
• Ideal: You are familiar with model optimizations/compression for edge deployment.
• You have familiarity with compute and data platforms
• You understand how to build ML systems that scale.
• You have experience making tradeoffs for speed of development.
• You want to build, maintain, grow, and improve our ML platform
• You know that a healthy software deployment requires mature software practices
• Ideal: You love to speak with users and help them reach their goals
• Experience in the autonomous vehicle (L4) or adjacent industry.

Bonus Points!

• Reinforcement Learning for physical AI 
• Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
• Contribute to open source software and speaking at seminars or conferences.

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. 

Hiring Range for Job Opening

US Pay Range

$199,200 - $298,800 

Job ID: 102397

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: 

Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale.  We are the team responsible for enabling the full ML experimentation process, from ideation, to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format.  We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight. 

What You'll Do: 

You will work to build, maintain and improve our Torc ML frameworks including the following tools:

• Cloud tooling
  • Terraform, AWS Managed Services, EKS, Ray
• Data ops
  • Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
• ML Development pipeline
  • Python, Ray, PyTorch, Lightning, Gymnasium
• Logging & aggregation, Experiment tracking, Model registry & lineage
  • Visualization & dashboarding (e.g., tableau, voxel51, rerun) 
• Design organization wide systems and platforms for ML Ops.
• Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
• Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
• You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.

What You'll Need to Succeed: 

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience.
• Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience.
• Experience with large scale distributed training, specifically working with Ray.
  • You are well versed in open-source software and make contributions.
• You have built ML solutions that have reached production.
  • You feel comfortable with the data science and ML iteration/lifecycle.
  • You can balance multiple stakeholders when designing components of the ML development lifecycle.
  • Ideal: You are familiar with model optimizations/compression for edge deployment.
• You have familiarity with compute and data platforms.
  • You feel comfortable with the data science and ML iteration/lifecycle.
  • You can balance multiple stakeholders when designing components of the ML development lifecycle.
  • Ideal: You are familiar with model optimizations/compression for edge deployment.
• You want to build, maintain, grow, and improve our ML platform.
  • You know that a healthy software deployment requires mature software practices
  • Ideal: You love to speak with users and help them reach their goals
• Experience in the autonomous vehicle (L4) or adjacent industry.

Bonus Points!

• Reinforcement Learning for physical AI 
• Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
• Contribute to open source software and speaking at seminars or conferences.

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.

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 

Canada Pay Range 

$199,200 to $298,800 CAD

Job ID: 102397

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:  

Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data. 

What You’ll Do:  

• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. 
• Stay up to date with the latest developments in AI and ML for autonomous driving.
• Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining 
• Documentation of created applications. 
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. 
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Measure and track auto labeling quality to meet internal customer requirements.
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner. 
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. 
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.  
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.  

What You’ll Need to Succeed:  

• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. 
• Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus.  Mentors and guides engineers within the group.  
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;  
• Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR; 
• Doctorate Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience. 
• Required Qualifications (some combination of the following skills):    
  • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
  • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
  • Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality. 
  • Distributed machine learning frameworks - PyTorch, Lightning, Ray. 
  • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc). 
  • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.  

Bonus Points! 

• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). 
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau. 
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).   
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.  

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. 

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 

Canada Pay Range 

$199,200 to $298,800 CAD 

Job ID: 102399

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.

We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.

Responsibilities

SaaS Application Development

• Detection:
• Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
• Build APIs and services to manage and scale the application’s content workflow.
• Protection:
• Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
• Integrate authentication mechanisms like Okta for enterprise customer admin management.
• Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.

AI/ML and Algorithm Development

• Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
• Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality.
• Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.

DevOps & Operationalization

• Establish CI/CD pipelines and formal release structures for software delivery.
• Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
• Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.

Future-Focused Development

• Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies.
• Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
• Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.

Requirements

Core Technical Skills

• Proficiency in Python and Ruby on Rails, with significant backend experience.
• Experience in designing secure systems, including encryption workflows and document protection mechanisms.
• Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications.
• Strong knowledge of RAG techniques, vector databases (e.g. Pinecone, Weaviate), and embedding pipelines.
• Ability to operationalize AI/ML models and build workflows for enterprise clients.
• Frontend development experience in modern frameworks (e.g, React, Vue), with the ability to assess and recommend appropriate tech stacks.

Nice-to-Have Skills

• Computer vision and OCR expertise, especially for processing and indexing complex document workflows.
• Experience with authentication systems (e.g., Okta) and enterprise administrative tools.
• Experience in DevOps, CI/CD pipelines, and secure release management.
• Background in security evaluations, vulnerability assessments, and tool integrations.

Other Requirements

• Strong testing background with experience in automated and manual testing.
• Ability to manage data recovery, audits, and compliance workflows.
• Strong problem-solving and analytical skills, with attention to detail in complex environments.
• Excellent communication skills and the ability to work collaboratively across teams.

Why Join Us?

• Be part of a cutting-edge team solving complex problems in AI and SaaS development.
• Work on impactful projects with enterprise clients and cutting-edge technologies.
• Grow your career in a collaborative, innovative, and supportive environment.

If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we’d love to hear from you.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

About TTC

The Testing Consultancy (TTC) is a global specialist software testing company with a focus on helping organizations transform the way they deliver quality software. We have broad capabilities across a wide range of testing areas that enable our clients to increase the speed and quality of software development while reducing risk and cost. 

Perks of working for TTC

• Hybrid Work Environment
• Work Life Balance
• Relaxed Work Environment
• Growth and Development Opportunities

Position Summary

The primary purpose of the Senior Software QA Engineer is to lead and deliver testing services using industry standards and best practices to meet customer requirements. This role will work collaboratively to build and establish the overall QA process. Responsibilities for this position also include mentoring QA junior personnel assigned to the teams on methods, strategies, frameworks, and other technical aspects. The Senior Software QA Engineer may also assist in general application support of production applications and systems. A key part of this role is managing relationships with business owners, software vendors, auditors, and other internal IT teams.

Responsibilities

• Assess and develop good understanding of customer’s manual and automated testing needs
• Maintain a hands-on involvement in test execution, test automation and risk coverage analysis
• Review functional and non-functional requirements and specifications
• Produce test Artifacts such as test Strategy, test Plan, test Cases and test Metrics reports
• Build and support automated testing frameworks based on various technologies
• Deliver good quality work internally and at a customer site and meeting project deadlines
• Maintain excellent relationships with key customer stakeholders and managing their expectations
• Actively participate in project team meetings to offer insight on application issues discovered and present solutions to resolve, meet requirements and ensure desired quality
• Ability to travel moderately
• Additional duties as may be assigned by management

Role Requirements

• Must speak French and English
• Capable of executing and completing assigned projects within the time, scope, and budget negotiated with the client
• Skilled at evaluating existing processes and procedures and making recommendations for improvement; designing prototypes and proof of concepts that best fit client needs
• Must have hands-on experience with test automation tools and frameworks using TOSCA
• Excellent communication and customer-facing skills
• Strong decision-making and problem-solving skills from both a business and systems perspective
• Highly self-motivated and directed leader
• Capable of effectively prioritizing and executing tasks in a high-pressure environment
• Able to facilitate open discussion and construct debate
• Experience working in Agile and traditional development environments

Technical Skills

• Experience in automated testing with one or more test automation tools and frameworks: Selenium, UFT, TOSCA, Rational Robot, etc.
• Hands-on technical expertise in programming, development tools and methodologies and system protocols
• Hands-on experience with SAP (preferred) 
• Understanding of database concepts and good knowledge of SQL
• Familiarity with API testing (SOAP and/or REST)
• Experience in business requirements analysis and test case design using Test Case management tools: ALM, TFS, JIRA plug-ins, etc.
• Ability to document defects and track them to resolution using defect management tools: JIRA, Quality Center, TFS, etc.

Qualifications

• Bachelor's degree in Computer science, Engineering, or related field preferred
• Minimum of 5 years’ experience in Software Development and/or Quality Assurance 

If your experience or qualifications is similar to our ideal of a successful candidate, please consider applying. Experience comes in many ways; skills may be transferred, but passion for your career can't be substituted. At TTC, we understand the importance of diversity and how much value it brings to the table. Diversity brings about creativity and new perspectives, which is why we beckon everyone to apply. 

About TTC

The Testing Consultancy (TTC) is a global specialist software testing company with a focus on helping organizations transform the way they deliver quality software. We have broad capabilities across a wide range of testing areas that enable our clients to increase the speed and quality of software development while reducing risk and cost. 

Perks of working for TTC

• Competitive Base Salary
• Medical, Dental, Vision Benefits
• 401K w/ company match
• Paid Time Off
• Paid Holidays
• Work Life Balance
• Relaxed Work Environment
• Growth and Development Opportunities

Position Summary

The primary purpose of the Senior Software QA Engineer is to lead and deliver testing services using industry standards and best practices to meet customer requirements. This role will work collaboratively to build and establish the overall QA process. Responsibilities for this position also include mentoring QA junior personnel assigned to the teams on methods, strategies, frameworks, and other technical aspects. The Senior Software QA Engineer may also assist in general application support of production applications and systems. A key part of this role is managing relationships with business owners, software vendors, auditors, and other internal IT teams.

Responsibilities

• Assess and develop good understanding of customer’s manual and automated testing needs
• Maintain a hands-on involvement in test execution, test automation and risk coverage analysis
• Review functional and non-functional requirements and specifications
• Produce test Artifacts such as test Strategy, test Plan, test Cases and test Metrics reports
• Build and support automated testing frameworks based on various technologies
• Deliver good quality work internally and at a customer site and meeting project deadlines
• Maintain excellent relationships with key customer stakeholders and managing their expectations
• Actively participate in project team meetings to offer insight on application issues discovered and present solutions to resolve, meet requirements and ensure desired quality
• Ability to travel moderately
• Additional duties as may be assigned by management

Role Requirements

• Must speak French and English
• Capable of executing and completing assigned projects within the time, scope, and budget negotiated with the client
• Skilled at evaluating existing processes and procedures and making recommendations for improvement; designing prototypes and proof of concepts that best fit client needs
• Must have hands-on experience with test automation tools and frameworks using TOSCA 
• Must have SAP experience 
• Excellent communication and customer-facing skills
• Strong decision-making and problem-solving skills from both a business and systems perspective
• Highly self-motivated and directed leader
• Capable of effectively prioritizing and executing tasks in a high-pressure environment
• Able to facilitate open discussion and construct debate
• Experience working in Agile and traditional development environments

Technical Skills

• Experience in automated testing with one or more test automation tools and frameworks: Selenium, UFT, TOSCA, Rational Robot, etc.
• Hands-on technical expertise in programming, development tools and methodologies and system protocols
• Hands-on experience with SAP
• Understanding of database concepts and good knowledge of SQL
• Familiarity with API testing (SOAP and/or REST)
• Experience in business requirements analysis and test case design using Test Case management tools: ALM, TFS, JIRA plug-ins, etc.
• Ability to document defects and track them to resolution using defect management tools: JIRA, Quality Center, TFS, etc.

Qualifications

• Bachelor's degree in Computer science, Engineering, or related field preferred
• Minimum of 5 years’ experience in Software Development and/or Quality Assurance 

If your experience or qualifications is similar to our ideal of a successful candidate, please consider applying. Experience comes in many ways; skills may be transferred, but passion for your career can't be substituted. At TTC, we understand the importance of diversity and how much value it brings to the table. Diversity brings about creativity and new perspectives, which is why we beckon everyone to apply.