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

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 Staff Data Developer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products.

As a senior member of the team, you’ll collaborate closely with data scientists, software engineers, and product managers to enhance the reliability and performance of our data systems, while influencing the enterprise-wide data architecture. You will also mentor junior engineers and drive best practices in data engineering.

What You’ll Do

• Design, develop, and maintain scalable, cost-effective, and reliable data pipelines for structured and unstructured data.
• Translate business needs into technical requirements and ensure alignment with product and customer success teams.
• Architect and implement data storage solutions (data lakes, warehouses, real-time processing systems) and supporting cloud infrastructure.
• Optimize pipelines for performance, scalability, cost-efficiency, and automation.
• Ensure data quality, integrity, and security across all systems.
• Evaluate and adopt new tools, technologies, and processes.
• Partner with DevOps and engineering teams for seamless deployment, monitoring, and troubleshooting.
• Document workflows and processes for knowledge sharing and maintainability.
• Stay current on industry trends in data engineering, ML, and cloud computing.
• Provide mentorship and technical leadership to junior engineers.

What You Bring to the Team

• 5+ years of hands-on experience with data software development.
• Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
• Bachelor’s or advanced degree in computer science, mathematics, or related fields.
• Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS).
• Experience with streaming technologies such as Kafka, Kinesis, and Flink.
• Familiarity with Docker and Kubernetes.
• Expertise in dimensional data modeling and semantic layer design.
• Strong collaboration, communication, and problem-solving skills.
• Experience in Agile development methodologies.
• Mindset encouraging transparency, accountability, and trust.
• Experience in healthcare, home health, or medical devices is an asset.
• Familiarity with data governance concepts & tools is an asset.
• Bilingual in French and English is an asset.

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 talentacquisitionteam@alayacare.com. 

L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

The opportunity
At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem.

Our Vector AI team plays a crucial role in shaping the future of Unity’s monetization products. We are seeking a Senior Backend Engineer (Distributed Systems) to scale the next generation of high-scale inference systems for Unity Ads.

In this role, you will be responsible for designing, developing, and maintaining the backend infrastructure that powers our large-scale advertising models, with a focus on the performance, reliability, and scalability of inference systems. You will collaborate closely with machine learning research, product, and engineering teams to build and operate the critical services that support our advertising capabilities.

What you'll be doing

• Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference.
• Contribute significantly to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services.
• Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana.
• Partner cross-functionally with data science, product, and engineering teams to align platform capabilities with strategic business goals.
• Manage and optimize our cloud infrastructure (GCP) and orchestrate workloads with Kubernetes.
• Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE).

What we're looking for

• Background in Software Engineering or a related technical field.
• Extensive hands-on experience designing, deploying, and maintaining distributed systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes.
• Expertise in Golang for building high-performance, low-latency systems and infrastructure.
• Deep experience with monitoring and observability tools (e.g., Prometheus, Grafana).
• Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices.
• Excellent communication and collaboration skills, with an ability to articulate technical concepts to both technical and non-technical audiences.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

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.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an HPC Specialist to join our AI and Multi Asset Systematic Strategies team. This team builds and operates GPU infrastructure that powers AI and ML workloads. You'll work on the infrastructure stack from bare metal to model serving, combining systems engineering, performance optimization, and infrastructure automation to solve complex problems at the intersection of hardware, networking, and distributed systems.

Responsibilities:

• Deploy, maintain, and optimize GPU infrastructure for large-scale LLM inference workloads, including provisioning, configuration, and deployment of GPU server fleets.
• Architect and implement distributed serving solutions for multi-node, multi-GPU model deployments.
• Manage GPU-enabled Kubernetes clusters for LLM and ML workloads.
• Configure network infrastructure including load balancers, firewalls, and inter-node communication for GPU clusters.
• Implement and optimize storage solutions for model weights and inference caches.
• Troubleshoot performance bottlenecks across the stack: hardware, drivers, networking, and application layer.
• Research and evaluate emerging GPU technologies, model serving frameworks, and infrastructure optimizations.
• Collaborate with ML engineers to profile model performance and implement inference acceleration techniques.
• Drive reliability improvements through monitoring, alerting, capacity planning, and incident response.

Requirements:

• Bachelor's or Master's degree in Computer Science, Systems Engineering, or related field.
• 5+ years in DevOps, SRE, or infrastructure engineering roles.
• Strong experience with GPU infrastructure, model serving frameworks (vLLM, SGLang), and GPU driver management.
• Hands-on experience optimizing deep learning workloads (inference or training) on GPU clusters.
• Deep Linux systems knowledge including network configuration, storage optimization, and Kubernetes orchestration.
• Experience with infrastructure as code tools (Ansible, Terraform, or similar).
• Strong understanding of distributed systems, networking protocols (TCP/IP, HTTP/2), and load balancing.
• Proficiency in Python and Bash scripting for automation.
• Experience with monitoring and observability tools (Prometheus, Grafana, or similar).

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-KS1] 

DRW est une société de négoce diversifiée avec plus de 3 décennies d'expérience qui réunit une technologie sophistiquée et des personnes exceptionnelles pour opérer sur les marchés du monde entier. Nous valorisons l'autonomie et la capacité à pivoter rapidement pour saisir les opportunités, c'est pourquoi nous opérons en utilisant notre propre capital et en négociant à nos propres risques.

Basée à Chicago et disposant de bureaux aux États-Unis, au Canada, en Europe et en Asie, nous négocions diverses catégories d'actifs, notamment les titres à revenu fixe, les FNB, les actions, les devises, les matières premières et l'énergie sur les principaux marchés mondiaux. Nous avons également tiré parti de notre expertise et de notre technologie pour nous développer dans trois stratégies non traditionnelles : l'immobilier, le capital-risque et les crypto-actifs.

Nous opérons avec respect, curiosité et ouverture d'esprit. Les personnes qui s'épanouissent ici partagent notre conviction que ce n'est pas seulement ce que nous faisons qui compte - c'est la façon dont nous le faisons. DRW est un lieu d'attentes élevées, d'intégrité, d'innovation et de volonté de remettre en question le consensus.

Nous recherchons un spécialiste CHP pour rejoindre notre équipe IA et stratégies systématiques multi-actifs. Cette équipe conçoit et exploite une infrastructure GPU qui alimente des charges de travail en IA et en apprentissage automatique. Vous travaillerez sur l’ensemble de la pile d’infrastructure, du matériel bare metal jusqu’au déploiement de modèles, en combinant ingénierie des systèmes, optimisation des performances et automatisation de l’infrastructure afin de résoudre des problèmes complexes à l’intersection du matériel, des réseaux et des systèmes distribués. 

Responsabilités :

• Déployer, maintenir et optimiser l’infrastructure GPU pour des charges de travail d’inférence LLM à grande échelle, incluant le provisionnement, la configuration et le déploiement de flottes de serveurs GPU.
• Concevoir et mettre en œuvre des solutions de serving distribuées pour des déploiements de modèles multi-nœuds et multi-GPU.
• Gérer des clusters Kubernetes avec support GPU pour des charges de travail LLM et ML.
• Configurer l’infrastructure réseau, incluant les load balancers, pare-feu et la communication inter-nœuds pour les clusters GPU.
• Mettre en œuvre et optimiser des solutions de stockage pour les poids des modèles et les caches d’inférence.
• Diagnostiquer les goulets d’étranglement en matière de performance à tous les niveaux : matériel, pilotes, réseau et couche applicative. Rechercher et évaluer les nouvelles technologies GPU, les frameworks de serving de modèles et les optimisations d’infrastructure.
• Collaborer avec les ingénieurs ML pour profiler les performances des modèles et mettre en œuvre des techniques d’accélération de l’inférence. Améliorer la fiabilité via la supervision, les alertes, la planification de capacité et la gestion des incidents.

Exigences :

• Licence ou maîtrise en informatique, ingénierie des systèmes ou domaine connexe.
• Plus de 5 ans d’expérience en DevOps, SRE ou ingénierie d’infrastructure.
• Solide expérience avec l’infrastructure GPU, les frameworks de serving de modèles (vLLM, SGLang) et la gestion des pilotes GPU. 
• Expérience pratique dans l’optimisation de charges de travail en "deep learning" (inférence ou entraînement) sur des clusters GPU.
• Connaissance approfondie des systèmes Linux, incluant la configuration réseau, l’optimisation du stockage et l’orchestration Kubernetes.
• Expérience avec des outils d’infrastructure as code (Ansible, Terraform ou équivalent). Bonne compréhension des systèmes distribués, des protocoles réseau (TCP/IP, HTTP/2) et du load balancing.
• Maîtrise de Python et des scripts Bash pour l’automatisation.
• Expérience avec des outils de monitoring et d’observabilité (Prometheus, Grafana ou équivalent).
• Si tu veux, je peux aussi adapter la traduction pour qu’elle soit plus simple ou plus naturelle pour une offre au Québec (ex : termes locaux, ton plus marketing, etc.).

Ce que DRW Montréal a à vous offrir:

• Reconnue comme l'un des meilleurs employeurs au Canada depuis 8 ans
• Engagement en faveur de la formation et du développement continus
• Un ensemble d'avantages et de bénéfices à la pointe de l'industrie
• Centré sur le bien-être des employés et l'équilibre entre vie professionnelle et vie privée
• Initiatives communautaires, programme de volontariat et possibilités de redonner

Découvrez tous nos avantages à: https://drw.com/fr/work-at-drw/avantages-montreal

Pour plus d'informations sur les activités de traitement de DRW et sur l'utilisation que nous faisons des données des postulants, veuillez lire notre Politique de confidentialité ici https://drw.com/fr/politique-de-confidentialite/.

Résidents de la Californie, veuillez consulter l’avis de confidentialité de la Californie pour obtenir des informations sur certains droits légaux ici https://drw.com/fr/politique-de-confidentialite-californie.

* Le masculin est utilisé sans discrimination dans le seul but d’alléger le texte.

[#LI-KS1] 

Build the backbone of AI at scale

Want to see your work power millions of machine learning predictions every day? Join our Machine Learning Platform team and help bring models, including Large Language Models (LLMs), into production in a reliable and scalable way.

You’ll contribute to a platform that trains thousands of models and serves hundreds of millions of  queries daily, while growing your expertise in distributed systems and machine learning infrastructure.

As a Backend Developer, you will:

• Contribute to the development lifecycle, including coding, testing, and deployment
• Support the implementation of scalable solutions to streamline model deployment
• Analyze and help improve the performance and reliability of our platform
• Participate in maintaining services handling millions of requests per day
• Collaborate with applied scientists, data engineers, and developers to integrate models into production
• Suggest improvements to existing processes and use AI coding tools to support your development workflow

Here is what will qualify you for the role:

• 2+ years of experience in backend development in a cloud environment (Java/Spring or Python preferred, AWS an asset)
• Good understanding of distributed systems and scalable application design
• Ability to solve problems and debug systems with guidance when needed
• Comfortable learning new tools, technologies, and best practices

What will make you stand out:

• Familiarity with Kubernetes or Terraform
• Exposure to machine learning workflows or model deployment
• Interest in scalable backend services, large-scale realtime systems, model orchestration or realtime inference at scale

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.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

#li-hybrid

Build security into every deployment, without slowing innovation!

What if security was embedded in every commit, every build, and every release by design? As a DevSecOps Specialist at Coveo, you’ll make that vision real by integrating security seamlessly into our continuous integration and continuous delivery (CI/CD) pipelines and cloud infrastructure.

You’ll transform security from a checkpoint into an accelerator, building automation and self-service tooling that empower developers to ship confidently. If you’re passionate about scaling secure software delivery in the cloud, this is where you’ll have real impact.

As one of our DevSecOps Specialists, you will:

• Design and maintain security automation across CI/CD pipelines, embedding controls and security gates without slowing delivery.
• Build and operate infrastructure-as-code (IaC) pipelines with security built in, managing secrets, identity and access management (IAM) policies, and hardened configurations at scale.
• Integrate and evolve vulnerability management workflows, including static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), and container scanning.
• Automate compliance checks and policy enforcement across Amazon Web Services (AWS) environments to ensure continuous alignment with security standards.
• Design and maintain access management automation to provision, audit, and monitor access to infrastructure and sensitive resources.
• Partner with engineering and platform teams to make security tooling intuitive, scalable, and developer-friendly, reducing friction across the delivery lifecycle.

Here is what will qualify you for the role:

• Strong hands-on experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, or similar) and embedding security controls directly into pipelines.
• Proficiency in Python or other scripting languages to build reliable automation and integrations.
• Practical experience securing and automating cloud environments (AWS preferred), including compute, storage, networking, and Kubernetes.
• Deep understanding of DevSecOps toolchains, including container security, secrets management, infrastructure-as-code scanning, dependency analysis, and vulnerability remediation workflows.

What will make you stand out:

• Advanced experience with Terraform for security-focused infrastructure, including IAM roles, encryption keys, and network controls.
• Hands-on experience with Kubernetes security, including role-based access control (RBAC), network policies, admission controllers, or image signing.
• Experience implementing compliance-as-code frameworks such as Open Policy Agent or AWS Config Rules.
• Relevant certifications such as AWS Security Specialty, Certified Kubernetes Security Specialist (CKS), or similar credentials.

Do you think you can bring this role to life? 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.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

Build security into every deployment, without slowing innovation!

What if security was embedded in every commit, every build, and every release by design? As a DevSecOps Specialist at Coveo, you’ll make that vision real by integrating security seamlessly into our continuous integration and continuous delivery (CI/CD) pipelines and cloud infrastructure.

You’ll transform security from a checkpoint into an accelerator, building automation and self-service tooling that empower developers to ship confidently. If you’re passionate about scaling secure software delivery in the cloud, this is where you’ll have real impact.

As one of our DevSecOps Specialists, you will:

• Design and maintain security automation across CI/CD pipelines, embedding controls and security gates without slowing delivery.
• Build and operate infrastructure-as-code (IaC) pipelines with security built in, managing secrets, identity and access management (IAM) policies, and hardened configurations at scale.
• Integrate and evolve vulnerability management workflows, including static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), and container scanning.
• Automate compliance checks and policy enforcement across Amazon Web Services (AWS) environments to ensure continuous alignment with security standards.
• Design and maintain access management automation to provision, audit, and monitor access to infrastructure and sensitive resources.
• Partner with engineering and platform teams to make security tooling intuitive, scalable, and developer-friendly, reducing friction across the delivery lifecycle.

Here is what will qualify you for the role:

• Strong hands-on experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, or similar) and embedding security controls directly into pipelines.
• Proficiency in Python or other scripting languages to build reliable automation and integrations.
• Practical experience securing and automating cloud environments (AWS preferred), including compute, storage, networking, and Kubernetes.
• Deep understanding of DevSecOps toolchains, including container security, secrets management, infrastructure-as-code scanning, dependency analysis, and vulnerability remediation workflows.

What will make you stand out:

• Advanced experience with Terraform for security-focused infrastructure, including IAM roles, encryption keys, and network controls.
• Hands-on experience with Kubernetes security, including role-based access control (RBAC), network policies, admission controllers, or image signing.
• Experience implementing compliance-as-code frameworks such as Open Policy Agent or AWS Config Rules.
• Relevant certifications such as AWS Security Specialty, Certified Kubernetes Security Specialist (CKS), or similar credentials.

Do you think you can bring this role to life? 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.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

L’opportunité

Rejoignez l’équipe chargée de concevoir et de faire évoluer l’écosystème du Gestionnaire de Packages Unity. Véritable colonne vertébrale du moteur, cet outil permet à des millions de créateurs et créatrices de découvrir, partager et intégrer les extensions qui soutiennent leurs processus de travail.

Au cours des premiers mois, votre réussite se mesurera à votre capacité à apporter des améliorations aux fonctionnalités des services, à contribuer au développement des fonctionnalités clés du Gestionnaire de Packages et à son intégration dans l’éditeur Unity, ainsi qu’à améliorer la qualité du code grâce aux tests et aux revues de code. À plus long terme, vous contribuerez à définir la prochaine génération de la gestion de l’écosystème Unity.

Vous aurez un impact direct tant sur les équipes internes que sur les créateurs et créatrices externes, en rendant le développement de packages plus rapide, plus sûr et plus fiable. Ce rôle offre également l’occasion de travailler avec plusieurs langages (Node.js, C#, C++), de relever des défis liés aux systèmes distribués à grande échelle, de mentorer vos pairs et de contribuer à définir les standards ainsi que l’expérience développeur sur une plateforme largement utilisée.

Ce que vous allez faire

• Concevoir, implémenter et exploiter des services backend et des composants de registre pour le Gestionnaire de Packages Unity (API, processus de publication et de consommation des packages).
• Collaborer avec les équipes UX, l’équipe Éditeur et les équipes plateforme afin d’offrir des expériences fluides de bout en bout pour les packages et leurs intégrations.
• Améliorer la fiabilité, la sécurité et la performance grâce à des tests automatisés, à des outils d’observabilité et à la livraison continue.
• Diriger ou soutenir des initiatives techniques visant à faire évoluer l’écosystème de packages Unity.
• Effectuer des revues de code, documenter les choix de conception et partager les connaissances afin de faire progresser les pratiques de développement.

Ce que nous recherchons

• Maîtrise d’au moins un des langages suivants pour le développement backend ou de services en production : Node.js, C# ou C++, ainsi qu’une volonté de travailler avec plusieurs langages.
• Expérience dans la conception, la mise en œuvre et la maintenance d’API et de services, ainsi que dans leur intégration à des systèmes de plus grande envergure.
• Capacité à collaborer et à communiquer efficacement avec différentes équipes, à participer à des discussions de conception et à produire une documentation technique claire dans un environnement distribué.
• Solides compétences en résolution de problèmes, avec une capacité à décomposer des problématiques complexes et ambiguës en solutions réalisables et en livrables incrémentaux.
• Expérience pratique de l’intégration et de la livraison continue (CI/CD) pour créer, tester et déployer des services backend et des applications (p. ex. pipelines de build et de release, étapes de tests automatisés, génération d’artéfacts).

Vous avez peut-être également

• Une bonne connaissance des pratiques de développement sécuritaire et des enjeux liés à la chaîne d’approvisionnement logicielle pour les packages (p. ex. signature, provenance, SBOM).
• Une expérience des écosystèmes de packages ou des registres (npm, NuGet, Maven, Cargo), ou des dépôts d’artéfacts (Artifactory, Nexus, GitHub Packages).
• Une expérience dans la création d’outils pour l’éditeur ou de plateformes destinées aux développeurs et développeuses, ainsi qu’une bonne connaissance des packages Unity et de leurs processus de travail.
• Une expérience des systèmes distribués et de l’optimisation des performances (caches, files de messages, profilage).
• Une expérience avec l’infonuagique, la conteneurisation et l’IaC (Docker, Kubernetes, Terraform/Pulumi), ainsi qu’avec des stratégies de test avancées (contrat, intégration, performance).

Informations supplémentaires

• Aucune aide à la relocalisation n’est prévue pour ce poste.
• Aucun visa de travail ni parrainage de l’immigration n’est offert pour ce poste.

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Join the team that builds and evolves Unity’s Package Manager ecosystem: the backbone that lets millions of creators discover, share, and integrate extensions that accelerate their workflows. You’ll collaborate across Unity to design and deliver robust backend services and editor integrations that power package authoring and consumption at global scale.

In your first months, success looks like shipping improvements to service features, contributing to key features in the package manager and editor integration, and raising code quality through tests and reviews. Longer term, you’ll help define the next‐generation of Unity ecosystem management.

Your work will directly impact internal teams and external creators by making package development faster, safer, and more dependable.

You’ll gain opportunities to work across languages (Node.js/C#/C++), solve distributed systems challenges at scale, mentor peers, shape standards and developer experience within a widely used platform.

What you'll be doing

• Design, implement, and operate backend services and registry components for Unity’s Package Manager (APIs, publishing/consumption workflows).
• Partner with UX, Editor and platform teams to deliver seamless end‐to‐end package experiences and integrations.
• Improve reliability, security, and performance through automated testing, observability, and continuous delivery.
• Lead or contribute to technical initiatives that evolve the Unity package ecosystem.
• Review code, document designs, and share knowledge to elevate engineering practices.

What we're looking for

• Proficiency in at least one of Node.js, C#, or C++ for production backend/service development, with readiness to work across languages.
• Experience building and maintaining APIs/services and integrating them into larger systems.
• Effective collaboration and communication skills for cross-team work, design discussions, and clear technical documentation in a distributed environment.
• Strong problem-solving and decomposition skills: ability to break down complex, ambiguous problems into actionable designs and incremental deliveries.
• Practical experience with CI/CD to build, test, and release backend services and applications (e.g., build pipelines, automated test stages, artifact generation).

You might also have

• Familiarity with secure software practices and software supply-chain considerations for packages (e.g., signing, provenance, SBOMs).
• Experience with package ecosystems or registries (npm, NuGet, Maven, Cargo) or artifact repositories (Artifactory, Nexus, GitHub Packages).
• Background building editor tooling or developer platforms; familiarity with Unity packages and workflows.
• Distributed systems and performance optimization experience (caching, queues, profiling).
• Cloud/containerization and IaC (Docker, Kubernetes, Terraform/Pulumi) and advanced testing strategies (contract, integration, performance).

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

MaintainX est la première plateforme mobile au monde dédiée à la gestion des actifs et des tâches dans les environnements industriels et de première ligne. Nous proposons une solution moderne, basée sur l'IoT et le cloud, qui facilite la maintenance, la sécurité et l'exploitation des équipements et installations physiques.

Nous aidons plus de 12 000 organisations, dont Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell, à atteindre l'excellence opérationnelle et la fiabilité à grande échelle.

À la suite de notre série D de 150 millions de dollars menée par Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures et Ridge Ventures, MaintainX a levé un total de 254 millions de dollars, valorisant la société à 2,5 milliards de dollars.

Alors que nous entrons dans notre prochaine phase de croissance, nous investissons massivement dans l'IA/ML, les LLM et l'IoT industriel afin de transformer le mode de fonctionnement des équipes de première ligne, en prédisant les pannes avant qu'elles ne se produisent, en automatisant les flux de travail et en intégrant l'intelligence dans chaque actif et chaque procédure.

Le poste

Nous recherchons un développeur(se) senior en apprentissage automatique appliqué hautement qualifié et motivé pour orienter la direction technique et l'architecture de nos initiatives en matière de maintenance prédictive et d'intelligence des actifs.

Vous combinerez une expertise approfondie en apprentissage automatique avec de solides compétences en génie logiciel et en sens du leadership. Vous encadrerez des ingénieurs, développerez des systèmes et piloterez la feuille de route pour l'intelligence de maintenance basée sur l'IA sur des milliers de sites industriels.

Ce poste se situe à la croisée de l'architecture d'apprentissage automatique, des systèmes de données IoT et de l'impact des produits, et constitue le fondement de la stratégie d'IA prédictive et générative de MaintainX.

Ce que vous ferez:

• Diriger la direction technique pour la maintenance prédictive, la détection des anomalies et l'intelligence alimentée par LLM dans tous les produits MaintainX.
• Concevoir des systèmes ML de bout en bout, de l'ingestion des données et le développement des fonctionnalités à la formation, au déploiement et à la surveillance des modèles.
• Encadrer une équipe croissante de développeurs(ses) ML et de données, en inculquant les meilleures pratiques en matière d'expérimentation, d'évaluation et de gestion du cycle de vie des modèles.
• Collaborer avec les responsables des produits et de développement afin d'aligner la feuille de route de l'IA sur les besoins des clients et les objectifs commerciaux.
• Concevoir des boucles de données et de rétroaction fiables qui relient la télémétrie des clients et les commentaires des opérateurs au réentraînement des modèles.
• Optimiser les performances grâce à des techniques telles que la quantification, la distillation et le service d'inférence évolutif.
• Travailler avec des cadriciels LLM (LangChain, LlamaIndex, Hugging Face) pour créer des systèmes de raisonnement et des flux de travail agentifs pour l'intelligence des actifs et du travail.
• S'assurer que l'infrastructure ML répond aux normes de production en matière de latence, de fiabilité, d'explicabilité et de sécurité.

À propos de vous:

• Plus de 7 ans d'expérience dans le domaine de l'apprentissage automatique, de la science des données ou de l'IA appliquée.
• Expertise en Python et excellente maîtrise de PyTorch, TensorFlow et des piles ML cloud (AWS, Databricks ou similaires).
• Expérience avérée dans le déploiement à grande échelle de systèmes ML de production, et pas seulement de prototypes.
• Solide expérience en LLM, modélisation de séries chronologiques et détection d'anomalies pour les données du monde réel.
• Capacité avérée à diriger les décisions architecturales, à encadrer les développeurs(ses) et à collaborer avec les équipes chargées des produits, des données et des plateformes.
• Connaissance des outils MLOps (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Diplôme de deuxième cycle (master/doctorat) en informatique, apprentissage automatique ou dans un domaine connexe préféré.

Une attention particulière est accordée aux candidats présentant les caractéristiques suivantes:

• Expérience avec l'OCR pour l'extraction de données structurées à partir de documents.
• Expérience dans la modélisation de séries chronologiques pour la maintenance prédictive et la détection d'anomalies.
• Connaissance des systèmes IoT industriels (capteurs, télémétrie, edge computing).
• Expérience dans l'application de l'apprentissage par renforcement ou des architectures agentuelles pour les systèmes de prise de décision et de contrôle.
• Contributions à des frameworks ML open source ou à la recherche dans les domaines de la fiabilité, de l'explicabilité ou des jumeaux numériques.

Quels sont les avantages pour vous?:

• Un salaire compétitif et des opportunités d'équité significatives.
• Couverture des soins de santé, des soins dentaires et de la vue.
• Programme d'inscription 401(k) / RRSP.
• Prenez les congés dont vous avez besoin.
• Une culture du travail :
• Vous travaillerez avec des personnes intelligentes, humbles et optimistes à travers le monde.
• Un environnement méritocratique où les idées et les résultats sont publiquement célébrés.

Qui sommes-nous:

MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.

We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.

Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.

As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

The Role

We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives.

You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.

This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.

What you’ll do:

• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.
• Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.
• Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.
• Partner with product and software development leaders to align AI roadmap with customer needs and business goals.
• Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.
• Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.
• Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
• Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

About you:

• 7+ years of experience in Machine Learning, Data Science, or Applied AI.
• Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
• Proven experience deploying production ML systems—not just prototypes—at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
• Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.
• Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.

Bonus skills: 

• Experience with OCR for extracting structured data from documents.
• Background in time-series modeling for predictive maintenance and anomaly detection.
• Familiarity with Industrial IoT systems (sensors, telemetry, edge computing).
• Experience applying reinforcement learning or agentic architectures for decision-making and control systems.
• Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A high impact Culture:
• You’ll work with Smart, Humble Optimists across the globe.
• Meritocratic environment where ideas and outcomes are publicly celebrated.

About us:

We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.

We are looking for Full Stack Developers to join our IAM (Identity and Access Management) team in the Engineering Organization. This role has openings at Intermediate and Senior level positions.

The Identity team builds the systems that power secure and seamless access across the MaintainX platform. We design and operate authentication, authorization, and governance services that scale with our enterprise customers and keep user experience frictionless and trusted.

What you’ll do:

• Develop and enhance IAM features — Implement and maintain authentication, authorization, and user management services across MaintainX, supporting both frontend and backend systems.
• Contribute to scalable IAM systems — Build and optimize core IAM services that support user authentication, authorization, and access control across MaintainX’s platform.
• Collaborate across teams — Partner with Product Managers, Designers, and Engineers to design intuitive identity experiences that make enterprise access seamless.
• Deliver high-quality, maintainable code — Write clean, testable, and secure code in C# and TypeScript for both backend and frontend components.
• Document your work — Contribute to and maintain clear, self-serve technical documentation to help other teams understand and leverage IAM services.
• Support ongoing improvements — Participate in code reviews, contribute to architectural discussions, and help drive the long-term reliability and performance of our IAM services

You’ll work across our stack (TypeScript, React, React Native, Node.js, C#, and GraphQL) - Web & Mobile

• You’ll work with the team to build, maintain and optimize product features that focus on how our users best collaborate with one another.
• You’ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems.
• You'll mentor other engineers and deeply review code.
• You’ll improve engineering standards, tooling and processes & bring best practices in planning, developing, testing and deploying industry compliant code.
• On-call duties

About you:

• You have a minimum of 3 years of professional experience in full-stack software development.
• Strong programming skills in C# and/or TypeScript, with experience building production-grade applications.
• Familiarity with React and Node.js, and an understanding of modern web authentication patterns.
• Interest in Identity and Access Management (IAM) — including authentication, authorization, user provisioning, and permissions systems.
• Experience designing and consuming REST or GraphQL APIs.
• Proficient at writing understandable, maintainable, and testable code.
• Strong communication and collaboration skills; comfortable working in a cross-functional environment.

Nice to have:

• Experience integrating with SSO protocols such as OAuth 2.0, OIDC, or SAML.
• Hands-on experience with Okta, Azure AD, or similar identity providers.
• Exposure to SCIM or other user provisioning standards.
• Understanding of token-based authentication (JWT, PKCE, token exchange).
• Knowledge of encryption standards, SSL/TLS, or public/private key infrastructure.
• Experience with React Native applications.
• Experience with Docker and Kubernetes.
• Experience with observability practices, as well as knowledge of observability tools such as Datadog.
• Familiarity with cloud providers (AWS, Azure, GCP) and service deployment practices.
• Experience with CI/CD pipelines and modern DevOps workflows to streamline testing and deployment.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.

We are looking for Full-Stack Developers to join our Connected Data team in the Engineering Organization. This role has openings at Senior+ level positions.

The Connected Data team’s mission is to connect our customers’ siloed operational data to MaintainX — through integrations, sensor management, and the APIs that make it all possible. We own the systems that ingest, normalize, and surface the data that powers MaintainX’s automations and asset intelligence, including our Connectors (Ignition, Kepware, MQTT/Sparkplug B), our On-Premise Agent, and the Automation and Alerting engine. The team operates as multiple squads and works closely with our largest enterprise customers to bring their equipment data online.

What You’ll Do:

• Build and evolve our integrations platform — Design, develop, and maintain the connectors and data pipelines that bring customer data into MaintainX from industrial systems (Ignition, Kepware, MQTT brokers, OPC UA servers, SCADA, historians).
• Ship IoT and sensor experiences end-to-end — Implement backend ingestion, transformation, and storage for high-volume sensor telemetry, and the frontend surfaces customers rely on to monitor device health, manage fleets, and trust their data.
• Own services that move real data, at scale — Contribute to the reliability, performance, and observability of the team’s core services with a strong operational mindset.
• Collaborate across the product — Partner with Product Managers, Designers, and engineers across MaintainX to turn unstructured, real-world industrial data into intuitive product experiences.
• Write high-quality, maintainable code — Deliver clean, testable C#, TypeScript, and React code across backend services, the on-premise agent, and customer-facing UI.
• Raise the engineering bar — Participate in code reviews, contribute to architectural discussions, and help drive the long-term health of our platform through technical pitches, POCs, and bug bashes.

You’ll work across our stack (C#, TypeScript, React, React Native, Node.js, and GraphQL) — Web, Mobile, and On-Premise applications. Connected Data is one of the most polyglot teams at MaintainX: our connectors and the on-premise agent are written in C#, our web and mobile surfaces are TypeScript, React, and React Native, our service layer uses Node.js, and our APIs expose both REST (our public API) and GraphQL (to the rest of the product). You will work meaningfully in all of them.

• You’ll work with the team to build, maintain and optimize product features that focus on how our users get their operational data into MaintainX and act on it.
• You’ll actively own team features or systems and define their long-term health, while also improving the health of surrounding systems.
• You’ll mentor other engineers and review code.
• You’ll improve engineering standards, tooling and processes & bring best practices in planning, developing, testing and deploying industry compliant code.

About You:

• 5+ years of professional experience in full-stack software development.
• Strong programming skills in C# and TypeScript, with experience building production-grade applications in both — or strong experience in one and a genuine appetite to get to production quality in the other.
• Solid experience with React, Node.js, and consuming or building GraphQL APIs.
• Experience designing, building, or integrating against REST APIs and understanding the tradeoffs (versioning, pagination, rate limiting, idempotency, backwards compatibility).
• Comfortable with relational databases and data modeling for high-throughput, event-driven workloads.
• Proficient at writing understandable, maintainable, and testable code, with an eye towards reliability and observability.
• Strong communicator: explaining complex technical concepts to designers, support, product, and other engineers is no problem for you.
• You thrive in a fast-paced, customer-facing environment where the data you work with comes from real factories, real equipment, and real people on the frontline.

Nice to Have:

• Experience with industrial / OT protocols and platforms: MQTT, Sparkplug B, OPC UA, Modbus, Ignition, Kepware, or similar SCADA / historian / PLC ecosystems.
• Experience building IoT data pipelines — ingestion, time-series storage, anomaly detection, or device fleet management.
• Experience building or maintaining on-premise applications or hybrid cloud/edge deployments.
• Experience with cloud providers (AWS / Azure / GCP) and service deployment — particularly AWS IoT, Timestream, or SiteWise.
• Experience with Docker, Kubernetes, and modern CI/CD pipelines.
• Experience with observability tooling such as Datadog, and with running production services against meaningful SLIs/SLOs.
• Experience with LLM-powered features (extraction, mapping, summarization) in production integrations.

What’s In It for You:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A high impact Culture:
• You’ll work with Smart, Humble Optimists across the globe.
• Meritocratic environment where ideas and outcomes are publicly celebrated.

About Us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX est la plateforme la plus utilisée au monde en matière de gestion des actifs et d'intelligence du travail pour les environnements industriels et de première ligne, avec plus de 13 000 clients dont Duracell, Shell, Cintas et Brenntag. Nous avons levé 150 millions de dollars lors de notre série D, menée par Bessemer Venture Partners et Bain Capital Ventures, portant notre financement total à 254 millions de dollars, et évaluant l’entreprise à 2,5 milliards de dollars. Nous figurons également au prestigieux classement Forbes Cloud 100 2025, qui répertorie les 100 meilleures entreprises infonuagiques privées à l'échelle mondiale.

Nous recherchons un développeur logiciel pour nous aider à développer, faire évoluer et soutenir notre plateforme de développement de nouvelle génération. Il ne s'agit pas d'un poste traditionnel de développement logiciel, mais d'un poste à la croisée du développement de plateforme, de l’approche produit et de l'expérience développeur. À ce poste, vous contribuerez aux composants de la plateforme qui facilitent considérablement la livraison de logiciels de haute qualité par les équipes de MaintainX.

Vous consacrerez également une partie de votre temps sur les activités d'adoption : communication, documentation, démonstrations et assistance aux équipes de développement en tant que clients de la plateforme.

Vous contribuerez de manière fondamentale à l’approche « Platform-as-a-Product », en veillant à ce que notre plateforme interne soit fiable, extensible, bien adoptée et apporte une réelle valeur ajoutée.

Ce que vous ferez:

• Concevoir et maintenir les fondations backend ainsi que les outils qui composent notre plateforme interne pour développeurs.
• Intégrer des workflows AI dans votre travail quotidien et dans la plateforme.
• Élever les standards d’excellence en développement.
• Mener la consolidation et l’évolution des composants de la plateforme : portail développeur, développement local, générateurs de services, workflows CI/CD et « golden paths » d'infrastructure.
• Collaborer avec les autres équipes plateforme et les équipes de développement produit afin de définir et mener l’adoption la plateforme interne pour développeurs.

À propos de vous:

• 3-4 ans d'expérience avec des systèmes distribués.
• Expertise Node.js, TypeScript ou d'autres langages similaires.
• Expérience dans la conception, la maintenance et l'évolution d'API GraphQL à grande échelle.
• Esprit fortement orienté vers l'IA.
• Expérience en Platform Engineering
• Bonne connaissance de l'infrastructure cloud, des pipelines CI/CD, de Docker et de Kubernetes.
• Approche orientée produit : capacité de bâtir une plateforme avec et pour les clients internes. 

Quels sont les avantages pour vous?:

• Un salaire compétitif et des opportunités d'équité significatives.
• Couverture des soins de santé, des soins dentaires et de la vue.
• Programme d'inscription 401(k) / RRSP.
• Prenez les congés dont vous avez besoin.
• Une culture du travail où :
• Vous travaillerez aux côtés de personnes du monde entier qui reflètent les valeurs de MaintainX : Intelligents, Humbles, Optimistes.
• Nous croyons en la méritocratie, où les idées et les efforts sont publiquement célébrés.

Qui sommes-nous:

Notre mission est d’offrir une plateforme unique aux équipes de maintenance, de réparation et d’exploitation afin de maintenir le monde physique en fonctionnement. Nous croyons que le plus grand atout d’une organisation, ce sont les personnes qui en font partie. C’est pourquoi nous avons conçu une solution intuitive, axée sur le mobile, pour favoriser la productivité et la collaboration entre les équipes et les différents sites.

MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.

MaintainX est la plateforme la plus utilisée au monde en matière de gestion des actifs et d'intelligence du travail pour les environnements industriels et de première ligne, avec plus de 13 000 clients dont Duracell, Shell, Cintas et Brenntag. Nous avons levé 150 millions de dollars lors de notre série D, menée par Bessemer Venture Partners et Bain Capital Ventures, portant notre financement total à 254 millions de dollars, et évaluant l’entreprise à 2,5 milliards de dollars. Nous figurons également au prestigieux classement Forbes Cloud 100 2025, qui répertorie les 100 meilleures entreprises infonuagiques privées à l'échelle mondiale.

Nous recherchons un développeur mobile logiciel pour nous aider à développer, faire évoluer et soutenir notre plateforme de développement de nouvelle génération. Il ne s'agit pas d'un poste traditionnel de développement logiciel, mais d'un poste à la croisée de l'ingénierie de plateforme, de l’approche produit et de l'expérience développeur.

À ce poste, vous contribuerez aux composants de la plateforme qui facilitent considérablement la livraison de logiciels de haute qualité par les équipes de MaintainX.

Vous consacrerez également une partie de votre temps sur les activités d'adoption : communication, documentation, démonstrations et assistance aux équipes de développement en tant que clients de la plateforme.

Vous contribuerez de manière fondamentale à l’approche plateforme en tant que produit, en veillant à ce que notre plateforme interne soit fiable, extensible, bien adoptée et apporte une réelle valeur ajoutée.

Ce que vous ferez:

• Concevoir et maintenir les fondations React Native ainsi que les outils qui composent notre plateforme interne pour développeurs.
• Intégrer un flux de travail AI dans votre travail quotidien et dans la plateforme.
• Élever les standards d’excellence en ingénierie.
• Mener la consolidation et l’évolution des composants de la plateforme : portail développeur, développement local, générateurs, workflows CI/CD et « golden paths » d'infrastructure.
• Collaborer avec les autres équipes plateforme et les équipes de développement produit afin de définir et mener l’adoption la plateforme interne pour développeurs.

À propos de vous:

• 3-4 années d'expérience en développement mobile
• Expert React Native
• Expérience dans la création de modules partagés, de SDK et de composants réutilisables
• Compréhension approfondie du DevOps dans un contexte Mobile
• Esprit fortement orienté vers l'IA.
• Expérience en développement de plateforme.
• Bonne connaissance de l'infrastructure cloud, des pipelines CI/CD, de Docker et de Kubernetes.
• Approche orientée produit : capacité de bâtir une plateforme avec et pour les clients internes. 

Quels sont les avantages pour vous?:

• Un salaire compétitif et des opportunités d'équité significatives.
• Couverture des soins de santé, des soins dentaires et de la vue.
• Programme d'inscription 401(k) / RRSP.
• Prenez les congés dont vous avez besoin.
• Une culture du travail où :
• Vous travaillerez aux côtés de personnes du monde entier qui reflètent les valeurs de MaintainX : Intelligents, Humbles, Optimistes.
• Nous croyons en la méritocratie, où les idées et les efforts sont publiquement célébrés.

Qui sommes-nous:

Notre mission est d’offrir une plateforme unique aux équipes de maintenance, de réparation et d’exploitation afin de maintenir le monde physique en fonctionnement. Nous croyons que le plus grand atout d’une organisation, ce sont les personnes qui en font partie. C’est pourquoi nous avons conçu une solution intuitive, axée sur le mobile, pour favoriser la productivité et la collaboration entre les équipes et les différents sites.

MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.

About the Role:

We are looking for a DevOps Engineer to join our DevOps team. This role sits at the intersection of infrastructure, deployment, reliability, and developer enablement. This is a hands-on technical role working closely with development teams (your internal customers) to build and improve the systems that power MaintainX.

You will play a key role in two major initiatives:

Developer Experience (DevEx)
We are evolving how developers interact with infrastructure. Our goal is to empower product engineers to independently own and deploy their services while ensuring security, scalability, and reliability. You will help build the tooling and infrastructure that makes this possible.

Platform Optimization & Efficiency
As we operate Kubernetes clusters across multiple regions worldwide, optimizing performance, reliability, and infrastructure costs is critical. You will contribute to improving efficiency and reducing platform costs at scale.

What You'll Do: 

• Build, maintain, and evolve our cloud infrastructure (primarily AWS) using Infrastructure as Code (Terraform)
• Design, implement, and improve CI/CD pipelines (GitHub Actions) for reliable deployments and releases
• Manage and optimize multi-region Kubernetes clusters
• Maintain and improve Helm charts and deployment workflows
• Strengthen observability (monitoring, logging, alerting) and define clear alert ownership
• Improve infrastructure security (image scanning, policies, networking, firewall configuration, etc.)
• Collaborate closely with product engineering teams to support their infrastructure needs
• Enable developers to independently deploy and manage services
• Participate in on-call rotation during business hours only

What You Bring:

• 3+ years of experience in DevOps, Cloud Infrastructure, or Software Engineering
• Strong experience with cloud platforms (AWS preferred; Azure/GCP experience transferable)
• Experience building and maintaining CI/CD pipelines and managing deployments
• Hands-on experience with Kubernetes in production environments
• Experience with Docker and containerized applications
• Experience with observability tools (monitoring, logging, alerting systems)
• Strong collaboration skills and ability to support engineering teams
• Continuous improvement mindset

Nice to Have:

• Networking knowledge
• Experience with C# and/or TypeScript
• Experience operating infrastructure in multi-region environments
• Agile/Scrum experience
• Product mindset — ability to understand who your internal customers are and how to best support them

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists.
• We believe in meritocracy, where ideas and effort are publicly celebrated.
  
  

About MaintainX

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. 

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). 

*A select number of positions require full-time in office attendance* 

As a member of the Infrastructure Security team, you will act as a SME and advisor, playing a pivotal role in developing and implementing tools, controls and processes to build out our Cloud Security and Security Analytics programs. This role will provide you with the opportunity and autonomy to work in an advanced environment securing a wide range of technologies.

What You'll Be Doing:

• Help create and maintain a tactical security roadmap, initiatives, and improvements.
• Proactively identify security gaps and vulnerabilities within the infrastructure and develop plans to address them.
• Help develop security standards and guidelines.
• Develop & implement security tools, controls and automation for both cloud (AWS, Azure, GCP) and on-premises.
• Performing in-depth security architecture reviews and assessments.
• Work closely with various teams (e.g., Engineering, Operations, Compliance) to implement security measures and ensure consistent application of security policies.
• Govern and Implement security controls through Infrastructure as Code (IaC).
• Help develop and maintain our internal security analytics and data platform.
• Build data pipelines for ingesting posture and event information.
• Maintain comprehensive documentation of security configurations, policies, and procedures.
• Provide regular reports on security posture and key performance indicators (KPIs).

What you’ll need to be successful:

Must Haves:

• 3 - 5 years of experience working as DevOps, Cloud Engineer or Architect working with AWS, Azure and GCP.
• 1-3 years of experience managing and security infrastructure as code (IAC).
• Bachelor’s degree in Computer Science/Engineering, IT or Data Science.
• Solid experience securing and managing applications on Kubernetes.
• Experience scripting and parsing information in Python/BASH/GoLang.
• Solid understanding of scalability patterns applied to infrastructure architecture for high traffic systems.
• Good understanding of continuous integration and continuous delivery models and best practices.
• Excellent communication and time management skills.
• A love for making things efficient and reliable.

Nice To Haves

• Experience with data engineering and concepts such as ETL and Data Modeling.
• Experience with Gitlab.
• Industry Certifications (Security/DevOps/Data Analytics).
• Professional context switcher.
• Proactive and adept at taking initiative.

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees

 In this role you may be exposed to adult content  

We are seeking a machine learning (ML) developer (applied research) to join our team working on the Scientist AI. In this role, you will work closely with ML research scientists and product stakeholders to start applying the Scientist AI to real-world problems.

Key responsibilities

• Accelerate applied research, model training and inference, and iterate on implementing models for real-world applications (that will form the basis of LawZero’s future solutions offerings).
• Design and implement workflows for research experiments across simulated environments and real-world applications.
• Develop datasets, tooling, dashboards, and libraries to adapt, monitor, interpret, and evaluate models in the context of real-world applications.
• Establish, document, and maintain best practices for ML model development workflows.
• Redesign and adapt research ideas and prototypes into robust production-grade tools and solutions.
• Deeply understand customer use-cases to inform training strategies and surface edge cases.
  
  

Skills and qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
• 3+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM)
• Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• Experience building new ML products from scratch, or based on research prototypes.
• Experience working alongside researchers is a bonus.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

Nous recherchons un.e ingénieur.e sénior en apprentissage automatique distribué (distributed ML) pour rejoindre notre équipe travaillant sur un agenda de recherche novateur en sécurité de l'IA. Dans ce rôle, vous travaillerez en étroite collaboration avec des chercheur.se.s en apprentissage automatique pour résoudre des problèmes complexes d'entraînement et d'inférence utilisant des modèles de très grande taille.

Responsabilités Clés

• Collaborer avec les chercheurs.se.s pour accélérer la recherche, l'entraînement et l'inférence des modèles, et faciliter l'utilisation de modèles à grande échelle dans des environnements de calcul distribué.
• Investiguer les goulots d'étranglement de performance, profiler le code des expériences de recherche, déboguer les problèmes signalés et optimiser l'utilisation des ressources de calcul.
• Développer des outils et des bibliothèques logicielles pour simplifier et orchestrer l'utilisation des ressources de calcul distribué pour les expériences de recherche.
• Établir, documenter et maintenir les meilleures pratiques pour les flux de travail de développement de modèles ML distribués à grande échelle.

Compétences et Qualifications

• Un diplôme dans un domaine pertinent de l'informatique (par exemple, informatique, génie informatique, génie logiciel) est requis. Un diplôme d'études supérieures (maîtrise ou doctorat) lié à l'apprentissage automatique ou aux systèmes ML distribués est préférable, mais n'est pas obligatoire si le candidat démontre des capacités et une expérience exceptionnelles.
• Plus de 3 ans d'expérience dans la conception et la mise en œuvre de “frameworks” d'entraînement ML distribué, avec une expérience récente dans l'utilisation, par exemple, de Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM et/ou verl.
• Capacité à collaborer efficacement avec des équipes interfonctionnelles, à documenter les meilleures pratiques et à se tenir au courant des dernières avancées en ML et en développement de logiciels.
• Expérience avec les plateformes “cloud” (par exemple, AWS, GCP, Azure) et les gestionnaires de charge de travail (par exemple, Ray, SLURM).
• Expérience avec les outils de profilage GPU (par exemple, PyTorch profiler, PyProf, NVIDIA Nsight).
• Familiarité avec les outils de conteneurisation (par exemple, gRPC, Docker, Kubernetes).
• Familiarité avec les infrastructures et plateformes de données (par exemple, bases de données vectorielles).
• Expérience avérée de contribution à des projets de recherche de haute qualité en apprentissage profond.

Le titre d'Ingénieur est utilisé à des fins de référence et peut ou non être le titre officiel du candidat en fonction de la juridiction.

Ce que nous offrons

• L’occasion de contribuer à une mission unique avec un impact important.
• Des avantage sociaux complets en matière de santé (incluant un compte de gestion de la santé mentale et du bien-être).
• 20 jours de vacances par an dès l'embauche.
• Une contribution de l'employeur de 4 % à votre épargne-retraite, sans exigence de contribution équivalente de la part de l'employé.
• Une rémunération supplémentaire totalisant 8 % de votre salaire, à attribuer à une épargne-retraite supplémentaire ou à des primes (non lié à la performance).
• Une équipe d'experts passionnés et compétents.
• Un environnement de travail collaboratif et inclusif dans nos bureaux situés au cœur de la Petite Italie, dans le quartier branché de Mile-Ex, à proximité des transports en commun. 

Nous recherchons un.e développeur.se en apprentissage automatique (recherche appliquée) pour rejoindre notre équipe travaillant sur un agenda de recherche novateur en sécurité de l'IA. Dans ce rôle, vous travaillerez en étroite collaboration avec les chercheur.se.s en apprentissage automatique et les parties prenantes côté produit pour commencer à appliquer le “Scientist AI” à des applications concrètes. 

Responsabilités principales 

• Accélérer la recherche appliquée, l'entraînement et l'inférence des modèles, et itérer sur l'implémentation de modèles pour des applications concrètes (lesquelles constitueront la base des futures offres de solutions de LawZero).
• Concevoir et mettre en œuvre des flux de travail (workflows) pour des expériences de recherche à travers des environnements simulés et des applications réelles.
• Développer des jeux de données, des outils et des bibliothèques pour implémenter et évaluer des modèles destinés à des applications concrètes.
• Établir, documenter et maintenir les meilleures pratiques pour les flux de travail de développement de modèles d’apprentissage automatique.
• Redéfinir et adapter les idées et prototypes de recherche en outils et solutions robustes de niveau production.
• Comprendre en profondeur les cas d'utilisation des clients pour éclairer les stratégies de formation et mettre en évidence les cas limites.

Compétences et qualifications

• Un diplôme dans un domaine informatique pertinent (par exemple, informatique, ingénierie informatique, ingénierie logicielle) est requis, ainsi qu'un diplôme supérieur (Maîtrise ou plus) en apprentissage automatique ou une expérience professionnelle équivalente.
• Un minimum de 3 ans d'expérience industrielle dans la conception et l'implémentation de pipelines complexes d’apprentissage automatique sur des dispositifs de calcul à haute performance utilisant PyTorch, TensorFlow ou JAX.
• Capacité à collaborer efficacement avec des équipes interfonctionnelles, à documenter les meilleures pratiques et à rester à l'affût des dernières avancées en matière d'apprentissage automatique et de développement logiciel.
• Expérience avec les plateformes cloud (ex: AWS, GCP, Azure) et les ordonnanceurs de tâches (ex: Ray, SLURM).
• Maîtrise des outils de conteneurisation (ex: gRPC, Docker, Kubernetes).
• Connaissance des infrastructures et plateformes de données (ex: bases de données vectorielles).
• Expérience dans le développement de nouveaux produits d’apprentissage automatique à partir de zéro, ou basés sur des prototypes de recherche.
• Atout : Expérience de travail en collaboration avec des chercheurs.

Ce que nous offrons

• L’occasion de contribuer à une mission unique avec un impact important.
• Des avantages santé complets.
• Un minimum de 20 jours de vacances dès l’embauche.
• Un contribution d'épargne retraite de l’employeur d'un minimum de 4%.
• Des avantages généreux et flexibles conçus pour contribuer à votre bien-être.
• Une équipe d’experts de leur domaine, des gens passionnés et passionnants.
• Un milieu de travail collaboratif et inclusif avec des bureaux au cœur de la Petite Italie, dans le quartier branché Mile-Ex à proximité des transports en commun.

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key Responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
• Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
• Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.
• Establish, document, and maintain best practices for large-scale, distributed ML model development workflows.

Skills and Qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master’s or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience.
• 3+ years of experience in designing and implementing distributed ML training frameworks, with recent experience using e.g. Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM,  and/or verl.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM).
• Experience with GPU profiling tools (e.g. PyTorch profiler, PyProf, NVIDIA Nsight).
• Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based on jurisdiction.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits (including mental health and wellness management account)
• 20 days of vacation per year upon start
• Employer contribution of 4% to your retirement savings, with no required employee matching
• Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
• A team of passionate world-class experts in their field
• A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

Nous recherchons un.e développeur.se de recherche en apprentissage automatique pour rejoindre notre équipe travaillant sur un agenda de recherche novateur en sécurité de l'IA. Dans ce rôle, vous travaillerez en étroite collaboration avec les chercheur.se.s en apprentissage automatique pour résoudre des problèmes d'apprentissage et d'inférence difficiles à l'aide de très grands modèles.

Responsabilités principales 

• Collaborer avec les chercheurs.se.s pour accélérer la recherche, l’entraînement et l'inférence des modèles, et faciliter l’implémentation efficace de nouveaux modèles et d'environnements simulés.
• Concevoir et mettre en œuvre des pipelines d’expérimentation pour des scénarios de tests simplifiés et des projets à grande échelle.
• Développer des outils et des librairies pour optimiser l'utilisation des ressources de calcul.
• Élaborer, documenter et maintenir les meilleures pratiques pour les pipelines de développement de modèles d’apprentissage automatique.

Compétences et qualifications

• Un diplôme dans un domaine informatique pertinent (par exemple, informatique, ingénierie informatique, ingénierie logicielle) est requis, ainsi qu'un diplôme supérieur (Maîtrise ou plus) en apprentissage automatique ou une expérience professionnelle équivalente.
• Un minimum de 3 ans d'expérience industrielle dans la conception et l’implémentation de pipelines complexes d'apprentissage automatique sur des dispositifs de calcul à haute performance utilisant PyTorch, TensorFlow ou JAX.
• Capacité à collaborer efficacement avec des équipes interfonctionnelles, à documenter les meilleures pratiques et à se tenir au courant des dernières avancées en matière d'apprentissage automatique et de développement de logiciels.
• Expérience avec les plateformes infonuagiques (par exemple, AWS, GCP, Azure).
• Familiarité avec les outils de conteneurisation (par exemple, Docker, Kubernetes).
• Familiarité avec les infrastructures et les plateformes de données (par exemple, les bases de données vectorielles).
• Expérience de contribution à des projets de recherche de haute qualité dans le domaine de l'apprentissage profond.

Ce que nous offrons

• L’occasion de contribuer à une mission unique avec un impact important.
• Des avantages santé complets.
• Un minimum de 20 jours de vacances dès l’embauche.
• Un contribution d'épargne retraite de l’employeur d'un minimum de 4%.
• Des avantages généreux et flexibles conçus pour contribuer à votre bien-être.
• Une équipe d’experts de leur domaine, des gens passionnés et passionnants.
• Un milieu de travail collaboratif et inclusif avec des bureaux au cœur de la Petite Italie, dans le quartier branché Mile-Ex à proximité des transports en commun.

We are seeking a machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
• Design and implement workflows for research experiments across toy scenarios and large scale projects.
• Develop tools and libraries to optimize the use of computing resources.
• Establish, document, and maintain best practices for ML model development workflows.

Skills and qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
• 3+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

We are seeking a Senior DevOps & Site Reliability Engineer to own the reliability, scalability, performance, and operational excellence of Medeloop’s platform. This role blends deep DevOps engineering—CI/CD pipelines, infrastructure as code, and cloud architecture—with SRE discipline: SLOs, incident management, capacity planning, observability and a relentless focus on system uptime. You will be the bridge between development and operations, ensuring our clinical research products are always available, performant, and secure for the healthcare organizations that depend on them.

What You'll Own

Cloud Infrastructure & Architecture

• Design, implement, and manage scalable, secure, and highly available cloud infrastructure on AWS - infrastructure as code (IaC) using AWS CDK, CloudFormation, or Terraform, ensuring all environments are version-controlled and reproducible.
• Architect multi-region and disaster recovery strategies that meet healthcare uptime requirements.
• Manage containerized workloads using Docker and Kubernetes, optimizing for cost, performance, and resilience.

Site Reliability Engineering

• Define, implement, and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs) across all production services.
• Build and maintain observability stacks (DataDog, AWS CloudWatch, Sentry) covering metrics, logs, traces, and alerting.
• Lead incident response: triage, mitigate, and drive blameless post-incident reviews with actionable follow-ups.
• Conduct capacity planning and performance engineering to ensure the platform scales ahead of demand.
• Champion error budgets and use them to balance feature velocity with system stability.
• Identify, assess, and mitigate operational risks by collaborating with engineering and product teams to evaluate impact and likelihood before they become incidents.
• Participate in and help structure an on-call rotation, ensuring clear escalation paths and fair distribution of after-hours coverage.

CI/CD & Automation

• Build self-service tooling and runbooks that reduce toil and empower development teams to ship independently.
• Design and maintain CI/CD pipelines (GitHub Actions) that enable fast, safe, and repeatable deployments.
• Automate security scanning (SAST, DAST) within pipelines and collaborate with engineering to remediate findings.
• Implement progressive delivery strategies such as canary deployments, blue-green releases, and feature flags.
• Proficiency in scripting languages (Python, Bash) for automation, troubleshooting, and building reliability tooling.
• Track and drive down operational toil, targeting less than 50% of team time spent on repetitive manual work.
• Evaluate and manage change risk for production deployments, maintaining change review processes that balance speed with stability.

Security & Compliance

• Ensure infrastructure meets healthcare compliance standards (HIPAA, SOC 2) through policy-as-code, encryption, and access controls.
• Manage networking security (VPCs, subnets, security groups, WAFs) and identity/authentication systems (AWS Cognito, Auth0, OAuth2, SSO).
• Conduct regular security reviews, vulnerability assessments, and patching across the infrastructure estate.

Collaboration & Culture

• Partner closely with product and engineering teams to embed reliability thinking into the software development lifecycle.
• Develop and maintain comprehensive documentation for infrastructure, runbooks, and operational playbooks.
• Mentor junior engineers on DevOps and SRE best practices, fostering a culture of ownership and continuous improvement.
• Stay current with advancements in cloud technologies, DevOps tooling, and SRE methodologies.
• Own and evolve internal developer platform tooling — including deployment workflows (GitOps/Flux), bug tracking integrations, and developer self-service portals.

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 7+ years of combined experience in DevOps and/or Site Reliability Engineering roles, with at least 2 years in a senior capacity.
• Deep proficiency with AWS services
• Deep experience with observability and monitoring platforms such as DataDog, AWS CloudWatch, and Sentry.
• Strong experience building and maintaining CI/CD pipelines with GitHub Actions or equivalent tools.
• Expertise in infrastructure as code using AWS CDK, CloudFormation, or Terraform.
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
• Proven track record of defining and operating against SLOs/SLIs and managing incident response processes.
• Solid understanding of networking (VPCs, subnets, load balancing, DNS), security, and compliance best practices.
• Experience with authentication and authorization systems including AWS Cognito, Auth0, OAuth2, and SSO.
• Proactive, self-directed mindset with a bias toward action and taking initiative.
• Excellent problem-solving skills and the ability to work independently as well as collaboratively across teams.
• Strong communication skills—able to explain complex infrastructure decisions clearly to technical and non-technical stakeholders.
• Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Familiarity with healthcare data standards, compliance, and protocols such as HIPAA, HL7 FHIR, OMOP, and i2b2.
• Experience with chaos engineering practices and tools (e.g., AWS Fault Injection Simulator, Gremlin).
• Prior experience in a healthcare or life sciences company operating under strict regulatory requirements.
• Contributions to open-source infrastructure or SRE tooling.
• Relevant certifications such as AWS Solutions Architect, Certified Kubernetes Administrator (CKA), or Google SRE certification.

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
• Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

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. 

Job Title: Senior Java Software Engineer – Financial Services

Location: Montreal, Quebec (Onsite)

About the Role:

We’re seeking a highly skilled Senior Java Software Engineer to join our dynamic team working on complex financial service systems that serve millions of customers worldwide. You will play a critical role across enterprise architecture, risk technology, and investment banking (IB)-facing applications. This role demands strong expertise in core Java technologies, scalable distributed systems, and modern cloud platforms.

Key Responsibilities:

• Design, develop, and maintain high-performance, scalable financial applications using Core Java, Spring Boot, and Hibernate.
• Build and integrate RESTful APIs and microservices within distributed systems architecture.
• Collaborate with cross-functional teams practicing Agile methodologies to deliver high-quality software continuously using CI/CD pipelines and DevOps tools.
• Implement messaging solutions using Kafka or other enterprise messaging frameworks to handle real-time data streams.
• Optimize application performance, ensure system scalability and high availability in a demanding production environment.
• Drive best practices around automated testing (TDD/BDD), including JUnit and Cucumber test frameworks.
• Contribute to architectural decisions focusing on robustness and risk mitigation in enterprise financial systems.
• Leverage cloud services (AWS, Azure, or GCP) to deploy and manage resilient cloud-native applications.

Required Skills & Experience:

• Strong expertise in Core Java (Java 8+) with solid understanding of JVM internals.
• Extensive experience with Spring Boot, Hibernate ORM.
• Proven background designing and developing REST APIs and microservices architectures.
• Hands-on experience with Kafka or similar event streaming platforms.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, including deployment and monitoring.
• Adept in Agile software delivery and CI/CD automation.
• Strong knowledge of TDD/BDD with JUnit and Cucumber frameworks.
• Experience with performance tuning and ensuring high availability in large scale systems.
• Background in financial services technology, risk systems, or investment banking applications is highly advantageous.
• Full-working proficiency in English (written and verbal)

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Experience with containerization (Docker, Kubernetes) and cloud-native architectures.

Kunai conçoit des solutions technologiques complètes pour les banques, les réseaux de crédit et de paiement, les fournisseurs d’infrastructures, ainsi que leurs clients. Ensemble, nous transformons les relations avec les services financiers, à l’échelle mondiale. Chez Kunai, nous aidons nos clients à se moderniser, à tirer parti des tendances émergentes et à faire évoluer leur entreprise pour les décennies à venir, en demeurant indépendants sur le plan technologique et centrés sur l’humain.

Titre du poste : Ingénieur(e) principal(e) en logiciels Java, Services au secteur financier 

Lieu : Montréal (Québec) (sur place) 

Au sujet du poste 
Nous recherchons une personne hautement qualifiée pour le poste d’ingénieur(e) principal(e) en logiciels Java, au sein de notre équipe dynamique, qui travaille sur des systèmes complexes offrant des services financiers à des millions de clients à l’échelle mondiale. Vous jouerez un rôle clé dans divers domaines : architecture d’entreprise, technologies de gestion des risques et applications de services bancaires d’investissement. Ce poste nécessite une solide expertise des technologies Java de base, des systèmes distribués évolutifs et des plateformes infonuagiques modernes. 

Principales responsabilités 

• Concevoir, développer et tenir à jour des applications financières hautement performantes et évolutives à l’aide de Java (Core Java), Spring Boot et Hibernate 

• Concevoir et intégrer des API REST et des microservices au sein d’une architecture de systèmes distribués 

• Collaborer avec des équipes multidisciplinaires utilisant des méthodologies Agile, afin de livrer en continu des logiciels de haute qualité, au moyen de pipelines d’intégration et de déploiement continus (CI/CD) et d’outils DevOps 

• Mettre en œuvre des solutions de messagerie au moyen de Kafka ou d’autres cadres de messagerie d’entreprise pour le traitement de flux de données en temps réel 

• Optimiser la performance des applications et assurer une adaptabilité et une grande disponibilité des systèmes dans un environnement de production exigeant 

• Favoriser les pratiques exemplaires en matière de tests automatisés (TDD/BDD), notamment à l’aide des cadres de test JUnit et Cucumber 

• Contribuer aux décisions concernant l’architecture d’entreprise, en mettant l’accent sur la robustesse et la réduction des risques dans des systèmes financiers d’entreprise 
• Exploiter les services infonuagiques (AWS, Azure ou GCP) pour déployer et gérer des applications natives en nuage résilientes 

Compétences et expérience requises 

• Solide expertise en Java (Core Java, Java 8+) et excellente compréhension des mécanismes internes de la JVM 

• Connaissance pratique approfondie de Spring Boot et d’Hibernate (ORM) 

• Expérience démontrée dans la conception et le développement des API REST et d’architectures de microservices 

• Expérience pratique de Kafka ou de plateformes de diffusion d’événements similaires 

• Connaissance des plateformes infonuagiques telles qu’AWS, Azure ou GCP, y compris le déploiement et la surveillance 

• Maîtrise de la prestation de logiciels Agile et de l’automatisation CI/CD 

• Excellente connaissance des pratiques TDD/BDD, notamment avec les cadres JUnit et Cucumber 

• Expérience en optimisation de la performance et en maximisation de la disponibilité des systèmes à grande échelle 

• Connaissance pratique des technologies de services financiers, des systèmes de gestion des risques ou des applications de services bancaires d’investissement, atout majeur 
• Parfaite maîtrise de l’anglais en contexte professionnel, tant à l’oral qu’à l’écrit 

Aptitudes souhaitées 

• Baccalauréat ou maîtrise en informatique, en génie ou dans un domaine connexe 

• Expérience en conteneurisation (Docker, Kubernetes) et en architectures natives en nuage (cloud-native). 

Notre succès des 20 dernières années repose sur notre équipe exceptionnelle, qui tire profit d’une culture de collaboration, de créativité et de formation continue. 

Nous sommes fiers d’offrir à nos employés un large éventail d’avantages : rémunération concurrentielle, opportunités de perfectionnement professionnel et formules de travail flexibles, le tout conçu pour leur permettre de se réaliser pleinement. Alors que nous poursuivons notre expansion, nous demeurons résolument engagés à cultiver un environnement où chacun se sent valorisé, écouté et outillé pour évoluer, tant sur le plan personnel que professionnel, tout en repoussant les limites de l’innovation dans l’industrie des fintechs.