The Security Product Management team is vital in safeguarding customer trust and making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries. Our team's scope is broad and critical, covering a range of features, including Networking, IAM, Data Governance, Encryption, Compliance, and Auditing.

This role can be based out of our Toronto office or remotely in North America.

Responsibilities

• In this role, you will be a key member of security product management making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries
• Build a vision for best-in-class data security features such as Resource Policies, Secure by Default at MongoDB, and other security and privacy features that minimize exposure to unauthorized access and risk of data loss. 
• Partner with engineering to develop a prioritized product roadmap and backlog to execute against that vision.
• Deeply understand all aspects of the business - to ensure a business outcome aligned with our broader product, customer, and company goals
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry
• ​​Partner with engineering, legal, research, product marketing, support, sales, and security teams to deepen customer trust as they use MongoDB for their most critical data workloads
• Define and implement key performance indicators (KPIs) and success metrics for security initiatives, ensuring alignment with business objectives and product goals

Requirements

• 5+ years of product management or equivalent experience in enterprise security or platforms
• Experience working with security focused engineers in a diverse team
• Domain expertise in data security
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Excellent written and verbal communication skills, including experience presenting to executive leadership
• Proven ability to define and deliver successful product strategies and roadmaps
• Demonstrated experience in defining technical product requirements into an actionable product roadmap
• Understanding of various public cloud providers such as AWS, Azure, and GCP
• Comfortable with stage presence and public speaking
• B.Sc. in Computer Science, or equivalent experience

Nice to have

• Certifications or similar evidence of professional milestone completion and continuous training (such as: CISSP, CompTia Security+, SANS, etc.)
• Community support and participation to advance data and cloud security such as conference or meetup panels and blog or paper authorship
• MBA, M.Sc.+ or equivalent in relevant domain

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 nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263343037

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection.

We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone.

We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database.

Candidate Profile

• 10+ years of experience in data management systems
• Experience with building production-level code with a large user base, robust design structure and rigorous code quality
• Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system
• Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain

Position Expectations

• Innovate in the area of flexible schema databases. Help us build a world-class query optimization system
• Research state-of-the art query systems to inform our design
• Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction 
• Set initiative level strategy, architect plans, and lead the team towards successful execution
• Advise management on decisions related to roadmap, processes, architecture and design
• Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, and integration with other products and tools
• Work with other engineers to coordinate seamless changes in a feature-rich, large code base
• Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects
• Influence and grow team members through active mentoring, coaching and leading by example

Success Measures

• In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system
• In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems
• In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team

​​This role can be based out of our US or Canadian offices or remotely in the North America region.

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 nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 1273358734

Who We Are

The Search Systems team at MongoDB builds the core infrastructure behind MongoDB Search and Vector Search. Our mission is to make advanced search capabilities feel native to the database, so developers can build powerful, scalable applications without standing up separate systems or compromising transactional performance.

We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments. Our work sits at the intersection of distributed systems, databases, and search infrastructure. We integrate Apache Lucene with MongoDB using native query operators like $search and $vectorSearch, build asynchronous change-stream-driven indexing pipelines that scale independently from transactional workloads, and support deployments across cloud, on-prem, and hybrid environments. Engineers on this team own meaningful subsystems, influence architectural decisions, and work on core database technology used by developers globally.

This role can be based out of our Toronto office or remotely in Canada.

What You'll Do

This is a rare opportunity to set the technical direction for one of MongoDB's most strategic investments. You will define the architecture of a self-contained search system that spans Community, Enterprise, and Atlas, while guiding how we integrate AI-native capabilities from Voyage AI. This is not a chance to influence a feature. It is a chance to shape the foundation of how developers everywhere build applications with MongoDB.

In this role, you will:

• Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months
• Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally
• Lead the architecture and evolution of the core mongot and Mongo Management Service infrastructure, making durability, consistency, and scale decisions with conviction
• Drive complex, multi-team initiatives by building technical consensus, navigating ambiguity, and setting direction when there is no clean playbook
• Serve as a trusted technical partner to leadership on roadmap, architecture, and engineering process, advising rather than just informing
• Raise the technical ceiling of the team through mentoring, rigorous code review, and knowledge-sharing that creates leverage beyond your own output
• Standardize how engineering teams across the globe contract with one another, reducing coordination costs and increasing execution velocity at scale

What We're Looking For

Required:

• 10+ years of experience in data management systems or related distributed infrastructure
• Deep proficiency in modern programming languages and techniques, with Java fluency preferred
• Demonstrable experience designing and operating distributed systems, cloud services, or SaaS products at scale
• The ability to reason about systems at the physical layer: data consistency, durability guarantees, concurrency, and failure modes in distributed environments
• A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery

Preferred (not required):

• Experience designing or maintaining search platforms or distributed databases
• Experience debugging and profiling multithreaded JVM applications and distributed systems

The profile we hire at this level:

Operational Architects. You understand the physical limits of the stack. You can articulate why a system breaks at 100x load, reason about the risks of a dual-write migration strategy, and make data consistency and durability decisions with conviction.

Scale-First Thinkers. You identify risks before they surface. You think in migration paths, failure modes, and second-order architectural consequences, not just implementation details.

Technical Force Multipliers. You create leverage across teams. You challenge requirements rather than execute them, set technical direction independently, and hold a high bar for architectural clarity whether you are mentoring a struggling engineer or reviewing a design with a principal.

Systems Intuitionists. You connect operational constraints to design decisions in concrete terms. You know why fsync matters. You know how atomic operations behave under contention. You have built systems where these things were not hypothetical.

What Success Looks Like

In 3 months: You have developed deep familiarity with the core mongot and Mongo Management Service repos and shipped your first meaningful contribution.

In 6 months: You are driving features that build out new infrastructure for Atlas Search and have identified at least one systemic risk or architectural gap the team had not fully articulated.

In 12 months: You are building POCs, setting technical direction on complex cross-team projects, and actively shaping what the next generation of MongoDB Search looks like.

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 nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 2263199619

The Code Gen team is tasked with building AI-powered code transformation tools that transform rigid, legacy applications that suffer from poor scalability and high operating costs into modern, microservices-based architectures that are built on top of MongoDB. Join our team and be at the forefront of innovation and creativity.

We are looking for a Staff Engineer with domain expertise and years of experience in modernizing legacy applications that are based on traditional database systems. A significant advantage is profound prior experience in leveraging AI, particularly LLMs and GenAI capabilities, to enable reliable, self-driving automation of the code transformation, iterative build, and test processes. In this role, you will be instrumental in initiating technical strategies and ideas, lead the Code Gen team in designing, building, and optimizing our code transformation workflow and tools. You will work on critical components that ensure the scalability, efficiency, and reliability of our services. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation, build and test.

This role will be based out of North America.

A strong candidate for this position will have:

• Extensive experience (8+ years) in software development and operations, with a proven track record of delivering high performance, correctness, and architectural excellence in fast-paced environments
• Experience using Relational Databases such as Oracle, MySQL, Microsoft SQL Server or PostgreSQL
• Experience with tools and methodologies for code analysis, refactoring, and automated testing
• Experience in designing and implementing complex software systems, collaborating effectively with engineers of all experience levels to achieve high reliability and performance
• Practical knowledge of integrating GenAI into large-scale, complex systems, including a clear understanding of appropriate use cases for GenAI
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Experience in leading the design and development of complex workflow for AI model integration and output processing.
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Position Expectations

• Strategic Partnership: Partner with product managers, AI researchers and other engineers to translate complex requirements into robust technical solutions. Guiding the team through technical challenges related to autonomous code transformation
• Architectural Leadership: Drive the architectural vision and technical strategy for code gen tools. Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Act as a hands-on leader, contribute core, foundational code that solves the hardest problems and sets the standard for the rest of the team
• Product Excellence: Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and AMP customers' pain points in modernizing legacy applications
• Established yourself as the technical leader within the team, actively driving technical decisions
• Begun collaborating with product counterparts and the code gen team to drive execution strategies on committed deliverables

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of a major feature for code transformation
• Contributed to and helped define and scope roadmaps for code gen deliverables
• Established a precise rhythm of execution, and served as a key stakeholder of the code gen team for guiding and reviewing technical designs

Within 12 months, you will have:

• Become recognized as the go-to technical expert for code gen domain
• Delivered a stable, production-ready code transformation workflow that significantly reduces frictions of the application modernization workload for our Field Engineering and Delivery teams
• Played a crucial role in helping recruit, interview and mentor new team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 425546

Join the MongoDB Networking & Observability team and help build the core of a distributed database ! Our team focuses on creating and enhancing components which facilitate communication between distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization, and building low-overhead observability features.

Our team includes engineers located in New York City and fully remote engineers. We operate close to the bottom of the stack, and have a lot of influence over the availability, performance, and robustness of our open source database as well as the development efficiency of the engineering team overall. Recently we’ve worked on POCs and performance tests for new architectural directions in our networking stack, and are integrating OpenTelemetry to accelerate investigation of issues and integrate with a wider ecosystem of observability tooling.

Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together.

Note: This role can be based out of our NYC office or remotely from anywhere in North America.

Candidate Profile

• 3+ years of experience building distributed systems
• Passionate about delivering and deploying a product with cross-team stakeholders
• Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
• Hands-on experience with building production-level code. Experience in C++ is required
• Interest in furthering their knowledge of networking, observability and how computer architecture and internals impact the availability
• Solid verbal and written communication skills and highly motivated to collaborate with colleagues

Position Expectations

• Understand and improve the current functionality of the MongoDB networking and observability codebase
• Lead medium sized projects related to our networking code or observability frameworks from technical design to delivery
• Collaborate with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)
• Own our leadership principles, and exemplify them in your work
• Continue to learn and be curious in growing your career

Success Measures

• In one month, you'll have fixed a few bugs in a minor version of our latest release series
• In three months you’ll have contributed to the development of a project slated for the next major version
• In six months, you’ll have taken on primary code review responsibilities and are involved in reviewing the design for new features
• In twelve months, you’re making significant contributions to the development of a new major features

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 nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273376223

About the Cloud Payments team

Cloud Payments is part of the Cloud Billing organization. As MongoDB’s Cloud business grows, the billing and payments stack becomes increasingly mission‑critical. Our team:

• Ingests and aggregates detailed metering and usage data from internal services and major cloud providers (AWS, Azure, GCP)
• Calculates and generates daily customer bills for millions of customers worldwide
• Integrates with payment processors and internal financial systems to support Finance, Sales, Marketing, and Accounting
• Continuously improves customer-facing billing and payments experiences and the reliability and scalability of our backend systems

We’re a group of engineers who care deeply about code quality, correctness, and observability, and who are comfortable collaborating with both highly technical partners and non-technical stakeholders across the business.

The role

We’re looking for a Software Engineer 3 to help design, build, and operate the services that power Cloud Payments. You’ll work primarily in the JVM ecosystem (Java and related tooling), with a focus on large-scale, distributed systems that have to be correct, resilient, and auditable.

This is a Canada-based, fully remote role. You’ll collaborate closely with teammates and stakeholders across North America time zones, including engineers in the broader Cloud Billing organization.

What you’ll do

In this role, you will:

• Design, implement, and operate backend services that ingest, process, and reconcile large volumes of usage and billing data from internal and external systems
• Collaborate with product, Finance, Revenue, and other engineering teams to evolve our billing and payments capabilities and improve customer experience
• Own features end‑to‑end: requirements, design, implementation, testing, rollout, monitoring, and iterative improvement
• Help scale and harden our systems as Atlas and our broader Cloud business continue to grow rapidly
• Participate in architecture discussions, technical design reviews, and code reviews to keep our systems robust and maintainable
• Contribute to improving our tooling, observability, and development workflows so the whole team can move faster and safer
• Take part in an on‑call rotation that treats reliability as a team sport, not an individual burden

What we’re looking for

You may be a great fit if you:

• Have 3+ years of experience building and maintaining backend systems in a compiled language, ideally Java
• Understand core object‑oriented design principles and how to apply them to complex, evolving systems
• Have experience with distributed systems and services that need to be highly available, observable, and correct at scale
• Are comfortable working with databases (relational and/or non‑relational such as MongoDB) in production environments
• Communicate clearly and enjoy working with both technical and non‑technical stakeholders across multiple teams
• Are curious, collaborative, and motivated by solving real customer and business problems rather than just closing tickets

Nice to have (but not required):

• Experience with billing, payments, or other financial systems where correctness, auditability, and compliance really matter
• Experience with cloud platforms (AWS, GCP, Azure) and modern communication protocols like gRPC
• Familiarity with data-intensive applications, data pipelines, or data lakes
• Exposure to working with I/O frameworks like Reactor
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Prior exposure to MongoDB as a developer or operator

We don’t expect you to check every box. If you’re excited about the space and think you could do great work here, we’d love to hear from you.

Working model & location

• Location: Canada
• Working model: Fully remote, with colleagues primarily across North American time zones

How we’ll support you

MongoDB is committed to building a supportive, inclusive, and growth‑oriented environment for everyone on the team. Our approach to benefits and working models is designed to support your physical, emotional, financial, and family well‑being, and to give you flexibility in how you do your best work.

You’ll have opportunities to:

• Work on complex, meaningful projects that directly impact MongoDB’s Cloud business
• Learn from and collaborate with experienced engineers across Cloud Billing and other parts of MongoDB
• Grow your career through mentorship, feedback, and stretch projects aligned with your interests

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 1273389937

The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. 

As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. 

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices  and data-informed decision making, this is the role for you.

Candidate Profile

• Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
• Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
• Strong understanding of DevOps culture and tooling
• Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
• Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
• Proven track record of driving technical execution and vision for organizations with 50+ team members
• Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Responsibilities

• Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
• Design software development systems to ensure best practices and champion industry standards
• Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
• Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
• Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth

Bonus points if the candidate has experience with:

• Strong systems fundamentals, including testing and monitoring multi-threaded systems
• Performance profiling of complex systems
• Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
• Experience supporting the development of database internals or core components for data processing systems

Success Measures

• In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
• In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
• In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
• In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273376291

We are seeking a dynamic and visionary Director of Identity and Security Product Management to lead our Identity and Security Product Management team. This person will define and drive the execution of our product strategy for crucial functions across IAM and security, with a portfolio spanning authorization, authentication, Queryable Encryption, security hardening, and more. In this pivotal role, you will collaborate closely with stakeholders at every level of the organization, including executive leadership and cross-functional teams across multiple business units.

As the Director of Identity and Security Product Management, you will work closely with your engineering counterparts to define and deliver the roadmap for Identity and Access Management (IAM), Queryable Encryption, and Database Security. Your scope will span the MongoDB Atlas Platform, Core Database, and other critical companion services, ensuring that our IAM and security offerings continue to set the industry standard for excellence and innovation.

Your leadership in this role will be instrumental in maintaining our customers’ trust in MongoDB to deploy secure, high-performance applications with confidence, knowing their data is protected by cutting-edge security solutions.

This role can be based in Toronto or remotely in Canada.

Responsibilities

• Lead the Identity & Security Product Management team responsible for delivering Identity and Access Management, Queryable Encryption, and other customer-facing security features within the MongoDB platform 
• Drive highly regulated customer platform security and compliance requirements into MongoDB products
• Drive collaboration across Engineering, Customer Support, Marketing, Sales, and the Executive Leadership Team
• Drive a strategic narrative with customers and industry thought leaders around database security and identity
• Develop and maintain an accurate and up-to-date roadmap across your ownership areas in partnership with Engineering counterparts
• Develop strategic, operational, and tactical recommendations tailored to our products to improve  customers’ security posture and compliance positioning; regularly evangelize solutions at industry conferences, trade shows, and with key partners and accounts
• Deeply understand all aspects of MongoDB - to ensure a business outcome aligned with our broader product, customer, and company priorities
• Define security go-to-market strategies, identify key market/competitive trends and customer opportunities, and plan and manage programs to execute against those strategies by partnering with sales leadership at regional and global levels
• Drive decision-making around prioritization, solutions, functionality, and pricing

Requirements

• 7+ years of experience managing teams and demonstrating leadership skills that bring together diverse viewpoints and drive a strategic agenda forward; can-do attitude, optimism, humility, and willingness to dive into ambiguity are all pluses!
• 10+ years of Product and/or Engineering Security experience working with enterprise-focused technologies and customers
• Excellent written and verbal communication skills with the ability to present to large executive audiences and key enterprise customers globally
• Experience or Expertise in One or more of the following: CEH, GSEC, CISM, Comp TIA Security +, CISSP, CISA, SSCP, CASP+, OSCP, AWS Solution Architect Pro, AWS Security, AWS Advanced Networking Specialty or other cloud provider equivalents
• Working knowledge and/or hands-on experience with several of the following areas: Identity & Access Management, operating system & platform security, network security, database security, and an understanding of network and web-related protocols
• Strong subject matter expertise in the fields of IT security and risk management
• Experience with cloud-native products and an in-depth understanding of microservice topologies and implementations
• Demonstrated ability to think strategically and proactively address business, product, and technical challenges
• Experience transforming traditional data center security measures into industry-adopted cloud technologies
• Strong technical acumen - our Product Managers must be effective partners in decision-making with their engineering counterparts and have deep depth of knowledge.
• Comfortable speaking with authority on any of the technical aspects of the topics in their portfolio, such as Jira, Aha, AWS, GCP, AZURE, Okta, Bug Bounties, DLP, Secure Web Browsing, Data Classification

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 nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263346784

The Security Product Management team is vital in safeguarding customer trust and making data security a market differentiator that enables MongoDB to succeed in enterprise and regulated industries. Our team's scope is broad and critical, covering a range of features, including Networking, IAM, Data Governance, Encryption, Compliance, and Auditing.

This role can be based out of our Toronto office, or remotely in Canada. 

Responsibilities

• In this role, you will be a key member of security product management responsible for Account Protection and safeguarding customer trust at MongoDB
• Develop a robust vision for best-in-class security and identity threat management, from identification to remediation
• Build a vision for best-in class security features that identify, mitigate, and proactively prevent unauthorized attempts to access data
• Partner with engineering to develop a prioritized product roadmap and backlog to execute against that vision
• Deeply understand all aspects of the business - to ensure a business outcome aligned with our broader product, customer, and company goals
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry
• ​​Partner with engineering, legal, research, product marketing, support, sales, and security teams to deepen customer trust as they use MongoDB for their most critical data workloads
• Define and implement key performance indicators (KPIs) and success metrics for security initiatives, ensuring alignment with business objectives and product goals

Requirements

• 5+ years of product management or equivalent experience in enterprise security or platforms
• Experience working with security focused engineers in a diverse team
• Domain expertise in threat detection, data security, or a related field
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Excellent written and verbal communication skills, including experience presenting to executive leadership
• Proven ability to define and deliver successful product strategies and roadmaps
• Demonstrated experience in defining technical product requirements into an actionable product roadmap
• Understanding of various public cloud providers such as AWS, Azure, and GCP
• Comfortable with stage presence and public speaking
• B.Sc. in Computer Science, or equivalent experience

Nice to have

• Certifications or similar evidence of professional milestone completion and continuous training (such as: CISSP, CompTia Security+, SANS, etc.)
• Community support and participation to advance data and cloud security such as conference or meetup panels and blog or paper authorship
• MBA, M.Sc.+ or equivalent in relevant domain

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 nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263333204

MongoDB is seeking an experienced Product Manager to own the strategy and execution for two tightly integrated layers of our core database: Replication and Storage Engines (WiredTiger). Together, these layers underpin MongoDB’s durability, availability, and performance for customers running mission-critical workloads.

This role spans two very different levels of customer visibility. Replication is, at its core, about keeping a distributed system in sync. Customer-facing concepts like failover, read concerns, and write concerns are how those guarantees surface. Customers understand and articulate those directly. WiredTiger internals like eviction, checkpointing, and cache management are invisible to customers, but are often blamed when "the system is misbehaving". You’ll need to move comfortably between both worlds: translating ambiguous customer symptoms into precise priorities for the storage engines team deep in the stack, while driving the replication roadmap and partnering with fellow database product managers on cross-cutting concerns.

We are looking to speak to candidates who are based in New York City or Seattle for our hybrid working model.

Responsibilities

• Own the product direction, roadmap, and execution plan for MongoDB’s replication and storage engine layers, ensuring we continue to deliver rock-solid durability, availability, and performance for mission-critical workloads
• Define the long-term roadmap for the storage engine (WiredTiger), balancing architectural investments against near-term escalation pressure
• Define and track measurable service-level objectives (SLOs) for replication lag, failover time, storage engine health and predictability, and customer data durability
• Distill ambiguous customer pain (e.g. "the system falls over" or "we see intermittent latency spikes") into actionable, scoped priorities for Storage Engines. Frame work in customer-outcome terms so the team can spot gaps independently
• Lead high-stakes escalations, coordinating with Support and engineering to resolve issues and reduce churn risk
• Drive improvements to the replication protocol, including elections, consensus, failover, read/write concern semantics, and distributed transaction consistency
• Own product direction for oplog, initial sync, elections, rollback, and replica set configuration
• Maintain clear ownership boundaries with the Storage Execution Product Manager
• Enable Sales, Support, Customer Success, and Product Marketing as the subject-matter expert for replication and storage engine reliability
• Partner with engineering leadership on quarterly planning, technical strategy, and project scoping

Requirements

• You can take a messy customer problem and turn it into something an engineering team can act on. When someone reports "intermittent latency spikes," you know how to dig in, ask the right questions, and trace it back to a root cause
• You are strong technically. You understand how distributed systems work, how databases store and replicate data, and you can hold your own in a room full of highly technical engineers
• You have a track record of making decisions and shipping in complex technical environments, not just analyzing
• You collaborate well with highly empowered engineering teams. This role influences through clarity and conviction, not authority
• You have experience working directly with enterprise customers on technical solutions
• You communicate complex concepts in a manner that is easily understood by multiple audiences, from deep-stack engineers to field teams to customers

Bonus Points

• Experience with replication protocols, distributed consensus, storage engines, or other core database internals (B-tree engines, write-ahead logging, cache management)
• Experience managing products where the end user has no direct visibility into the component. You're used to being the bridge between customer experience and deeply internal systems behavior
• A track record of handling complex customer escalations and turning them into product improvements
• 5 or more years of experience in product management or a deeply technical customer-facing role

Scope of Ownership

This role spans two major areas of MongoDB's core server: 

• Replication: the replication protocol (elections, rollback, heartbeats), replica set configuration, oplog, read/write concern, startup recovery, distributed transactions, initial sync, etc
• Storage Engines: WiredTiger and the encrypted storage engine, durability guarantees, memory management (cache sizing, eviction), checkpointing and journaling, timestamp-based data visibility rules, and data validation, repair, and recovery tools, spanning multiple sub-teams within the Storage Engines organization

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 1273421116

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

The Query Integration team is focused on building user-facing features on top of the core query engine and helping to integrate query with other products in the MongoDB ecosystem. This includes enhancing our time-series product, extending language support for analytics, helping grow our Atlas Search and Vector Search products with database support and adding workload telemetry to provide greater insight into how our database is used. Most of our development is in C++, but prior experience in C++ is not required. Our testing infrastructure is written in JavaScript and Python. 

This role can be based out of our US or Canadian offices or remotely in the North America region.

Candidate Profile

• 5+ years of experience in computer programming 
• Experience in databases and/or data management systems is a huge plus, but not a requirement
• Hands-on experience building industrial-strength software
• Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
• Experience with large code bases, preferably in C++
• B.Sc. in Computer Science or similar field, or equivalent practical experience
• Interest in the theory and practice of database query engines. Hands-on experience or M.Sc./Ph.D in the domain is a plus

Position Expectations

• Understand and improve current functionality of the MongoDB query engine
• Contribute high quality C++ code and give and solicit feedback in code reviews
• Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics for query performance problems, and integration with other products and tools
• Work constructively with peers to deliver excellent technical solutions

Success Measures

• In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series
• In six months, you’ll have taken on code review responsibilities and are independently delivering complex functionality and squashing bugs independently
• In twelve months, you’re contributing to the design of major new features and are helping to mentor new engineers on the team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 1273417264

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

About the Job

Do you get excited when a messy, ambiguous business problem finally yields to the right model? Do you think in systems, speak fluently across the technical-business divide, and want your work to do more than sit in a notebook — you want it to actually ship, scale, and matter?

With over 2,000 employees, 36 offices on five continents, and world-class clients like Samsung, L'Oréal, and Mattel, Artefact is a consulting firm that transforms data into measurable value and business impact. We're growing our Canadian presence and want you to join us as a technical cornerstone of our founding team in Canada.

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement, and deliver results our clients can measure.

We have 2,000 employees across 36 offices focused on accelerating digital transformation for some of the world's most recognizable brands. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. We design data-driven solutions tailored to each client's specific needs — always conceived with a business-first mindset and delivered with tangible, measurable results. Our expertise is built on deep AI knowledge acquired through 1,000+ client engagements across the globe.

Find out more at artefact.com.

What You Will Be Doing

As a Senior Data Scientist, you'll be the technical engine behind some of our most complex and consequential client engagements in Canada. You'll move fluidly between data exploration, model development, and executive communication — bringing scientific rigor to business problems and translating results into strategies that clients actually implement.

This isn't a role where you hand off findings and walk away. You'll be embedded with clients across Canada's most dynamic sectors — financial services, retail, CPG, telecoms, media, and the public sector — co-owning outcomes and ensuring that the models you build don't just perform in a test environment, they create real, lasting impact in production. You'll also be a technical anchor for our Canadian team, setting standards, mentoring junior data scientists, and contributing to the methodologies that define Artefact's edge in this market.

Key responsibilities include:

• Designing and building end-to-end machine learning and statistical models that solve high-stakes business problems — from framing the question to deploying the solution
• Conducting rigorous exploratory data analysis to uncover patterns, anomalies, and opportunities that inform both technical and strategic decisions
• Translating complex model outputs and analytical findings into clear, compelling narratives for senior client stakeholders — making the technical accessible without dumbing it down
• Partnering with client teams and data engineers to ensure models are production-ready, scalable, and built on clean, reliable data pipelines
• Defining the analytical approach for client engagements — selecting the right methods, tools, and frameworks for the problem at hand, not just the ones you're most comfortable with
• Contributing to new business proposals — helping articulate Artefact's technical capabilities and translating data science into clear client value
• Developing thought leadership and internal methodologies — publishing research, building reusable frameworks, and raising the technical bar across the Canadian practice
• Mentoring junior data scientists and analysts, actively investing in the team's technical depth and growth

What We Are Looking For

We want someone who is as comfortable whiteboarding a modeling strategy with a client's Chief Analytics Officer as they are debugging a pipeline before a critical delivery. You've shipped models that people actually use. You've sat in rooms where the business stakes were real, and you've delivered. You know the difference between a technically elegant solution and a practically useful one — and you always choose useful.

You'll arrive ready with the following:

• 4–7 years of hands-on experience in data science, machine learning, or advanced analytics — with a demonstrable track record of end-to-end model delivery in a client-facing or high-stakes business environment
• Advanced degree (MSc or PhD) in a quantitative field — statistics, mathematics, computer science, engineering, or equivalent; strong undergraduate candidates with exceptional experience will be considered
• Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code
• Deep expertise in machine learning and statistical modeling — regression, classification, clustering, time series, NLP, recommendation systems, and/or deep learning, depending on your specialization
• Strong command of SQL and experience working with large-scale datasets across cloud platforms (GCP, AWS, or Azure)
• Experience with MLOps practices — model versioning, monitoring, deployment pipelines, and productionization — is a significant differentiator
• Exceptional communication skills — you can explain a gradient boosting model to a CFO and a business case to an ML engineer, and both conversations land
• Demonstrated ability to lead technical workstreams and mentor junior team membersBilingualism (English/French) is a significant asset, particularly for client engagement in Quebec and federal government contexts
• Consulting or client-facing experience is highly desirable; the ability to manage ambiguity, scope problems, and deliver under pressure is essential
• Familiarity with Canada's data privacy regulatory landscape — PIPEDA, Quebec's Law 25, and sector-specific frameworks in financial services and healthcare — is a meaningful differentiator
• Exposure to marketing analytics, customer analytics, fraud detection, risk modeling, or demand forecasting within Canadian financial services, retail, or CPG is a strong asset

Why You Should Join Us

At this level, you're not just looking for a job — you're looking for the right environment to do your best work. Here's what makes Artefact different:

Variety that keeps you sharp. In a product role, you go deep on one problem. Here, you'll work across Canada's most dynamic industries and business functions — building the kind of range that makes exceptional data scientists truly exceptional. No two engagements are the same.

Your work actually ships. We have a relentless focus on adoption and impact. The models you build are designed from day one to live in production, influence decisions, and create measurable value — not to gather dust in a final report.

A global technical community, with local roots. With 2,000 data and AI specialists across 36 offices worldwide, you'll have access to some of the most sophisticated data science thinking on the planet — while building something meaningful right here in Canada. You'll bring global best practices to the Canadian market and contribute Canadian insights back to the world.

Founding team energy. We're building our Canadian practice, which means the standards, culture, and technical identity you help create now will define Artefact in this market for years to come. That's a rare opportunity at any stage of a career.

We are united by our values and strengthened by our hybrid expertise:

There is always a way — We're builders, diggers, and makers. Ideas only count if they get executed.
Client trust is won in the field — We show up where it matters, working side by side with our clients to solve what's real.
If not used, it is useless — We build for adoption and impact. True brilliance is measured by what changes, not what's delivered.
If not shared, our work is not done — Sharing knowledge is how we close the loop — for our clients and for each other.
We learn every day — In a field moving at the speed of light, intellectual curiosity isn't optional. It's survival.

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre. 

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles. 

DESCRIPTION DU POSTE : 

Nous sommes à la recherche d'un(e) développeur.euse en intelligence d'affaires (BI)  pour différents projets d'envergure. Le développeur en intelligence d’affaires transforme les données brutes en informations exploitables, aidant ainsi les entreprises à optimiser leurs opérations et à prendre des décisions stratégiques. 

RÔLE ET RESPONSABILITÉS : 

• Réaliser des ateliers avec les différents intervenants du côté affaires pour comprendre leurs besoins en matière de données et fournir des solutions adaptées.
• Faire la collecte et l’intégration des données de diverses sources vers l’entrepôt de données.
• Utiliser des outils analytiques pour examiner les données, en mesurer la qualité, détecter les anomalies.
• Analyser les besoins et concevoir des indicateurs clés de performance. Développe des rapports et des tableaux de bord riches en information et interactifs.  
• Assurer le bon fonctionnement et la maintenance des systèmes de données, y compris la mise à jour et la résolution des problèmes techniques.
• Collaborer avec d'autres développeurs et architectes afin de s'assurer que la solution et ses composantes respectent les exigences en matière de performance et de sécurité. 
• Réaliser des ateliers avec les différents intervenants du côté affaires pour comprendre leurs besoins en matière de données et fournir des solutions adaptées. 

COMPÉTENCES ESSENTIELLES 

• Maîtriser le langage SQL, procédures/fonctions stockées
• Maîtriser les concepts et la pratique liés à la modélisation de données décisionnels  
• Connaissance d’outils ETL, tel que SSIS et le langage DAX
• Être à l’aise avec des outils d’analyse courants, tel que Power BI, Tableau, ou QlikView pour la visualisation des données.
• Connaître des langages de programmation comme Python ou R pour l’analyse avancée des données.
• Savoir expliquer des concepts techniques complexes de manière claire et concise aux parties prenantes non techniques. 

QUALIFICATIONS ET EXPÉRIENCE :  

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée avec un programme en intelligence d’affaires, en sciences des données ou l’équivalent;
• Expérience d'au moins 5 ans et plus dans le domaine de l’intelligence d’affaires
• Maitrise de plusieurs outils technologiques courants dans le domaine
• Un atout : Détenir une certification à jour sur un des écosystèmes de données infonuagiques suivants : Microsoft Azure; Amazon Web Services (AWS), Snowflake, IBM Cloud  
• Connaissance des principes de développement Agile  
• Esprit d’équipe, capacité à aider ses collègues et partager ses connaissances au profit de l’équipe.
• Autonomie, rigueur et orienté client. 

AVANTAGES SOCIAUX : 

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres : 

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation de handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre. 

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles. 

DESCRIPTION DU POSTE : 

Nous sommes à la recherche d'un(e) conseiller.ère en architecture de domaine / gouvernance de données pour différents projets d'envergure. 

RÔLE ET RESPONSABILITÉS : 

• Élaborer, maintenir et communiquer le plan d'évolution de son domaine d'architecture, en arrimage avec les cibles d'architecture d'entreprise
• Valider l'état applicatif et technologique de son domaine en considérant les risques et éléments d'architecture en écart aux orientations
• Accompagner et réviser les architectures de solution des projets en phase d'identification, faisabilité et conception
• Collaborer à l'alignement des architectures de solution proposées en projet avec le plan d'évolution
• Jouer un rôle conseil dans divers comités d'architecture, à l'élaboration des cibles d'architecture d'entreprise, de patrons et encadrements relatifs à son domaine
• Effectuer une vigie applicative/technologique du marché pour son domaine
  
  

QUALIFICATIONS ET EXPÉRIENCE : 

• Expérience d'au moins 3 ans dans un rôle similaire
• Expérience dans un environnement complexe en transformation digitale
• Ouvert d’esprit, capacité à proposer des solutions innovantes aux problèmes rencontrés
• Esprit d’équipe, capacité à aider ses collègues et partager ses connaissances au profit de l’équipe
• Autonomie, rigueur et orienté client
• Connaissance des outils technologiques suivants: BizzDesign et d'outils de gouvernance de données
• Maîtrise des technologies dans les environnements clouds telles que  (Microsoft Azure, AWS, Google Cloud) et d’autres outils spécialisés;
• Maîtrise des concepts d’environnements analytiques (Data Lake, Datawarehouse, Architecture);
• Connaissance des méthodologies Agile dans un contexte de transformation des modes de livraison;

AVANTAGES SOCIAUX : 

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres : 

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation de handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre.  

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles.  

DESCRIPTION DU POSTE :  

Nous sommes à la recherche d'un.e Conseiller.ère en architecture d'intelligence d'affaires pour différents projets d'envergure. Un architecte en intelligence d’affaires joue un rôle crucial dans la conception et la mise en place de solutions informatiques pour aider les entreprises à prendre des décisions stratégiques. Il collabore avec les équipes techniques et métiers pour comprendre les besoins en données de l’entreprise et développer des systèmes pour collecter, stocker, analyser et visualiser ces données. Il est responsable de l’architecture des entrepôts de données, des outils ETL et des plateformes de visualisation, tout en veillant à la sécurité et à la conformité des données. 

RÔLE ET RESPONSABILITÉS :  

• Superviser les technologies de l’information et influencer l’architecture cible de l’entreprise
• Guider les choix technologiques dans des dossiers stratégiques
• Mettre en place le cadre de modélisation des données (processus, rôles, outils)
• Modéliser et documenter les couches de l’entrepôt de données
• Assurer la qualité et la gestion des données, en respectant le cadre de gouvernance établi
• Participer à la production et à la validation des livrables en intelligence d’affaires. 

COMPÉTENCES ESSENTIELLES 

• Capacité à communiquer et de présenter efficacement les enjeux et les solutions avec les parties prenantes 
• Expérience pratique avec les entrepôts de données et les concepts d’intelligence d’affaires  
• Expérience en gestion de projets et être en mesure d’exercer un leadership reconnu tant à l’externe qu’à l’interne dans le domaine du BI, et agir comme coach auprès des équipes de développement  

QUALIFICATIONS ET EXPÉRIENCE :   

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée enrichi d’un programme spécifique en intelligence d’affaires 
• 7 années d'expérience dans un rôle similaire
• Détenir des compétences sur plusieurs technologies courantes du domaine: SSIS, Power BI, Talend, Datastage, Databricks, Collibra, Enterprise Architect, Microsoft EPM, JIRA, Confluence, MS Office
• Connaissance de l’architecture moderne des données. Maitrise au minimum un des écosystèmes de données infonuagiques suivants :
  • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake
  • Amazon Web Services (AWS) : Amazon Redshift, QuickSight, et AWS Glue  
  • Snowflake
  • IBM Cloud :  IBM Cognos Analytics et IBM Db2 Warehouse
  • Connaissance des bases de données, langages SQL, procédures/fonctions stockées

AVANTAGES SOCIAUX :  

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres :  

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

Vous souhaitez vous épanouir dans un environnement de travail stimulant? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre. 

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles. 

DESCRIPTION DU POSTE : 

Levio est à la recherche d'un conseiller en architecture infonuagique pour contribuer à un mandat d'envergure dans le secteur public. 

RÔLE ET RESPONSABILITÉS : 

• Concevoir et faire évoluer l’architecture infonuagique de la plateforme, en assurant sécurité, performance et résilience ;
• Déployer, maintenir et optimiser les environnements OpenShift/Kubernetes et leurs outils associés (GitOps, pipelines, observabilité, sécurité) ;
• Concevoir et faire évoluer l’architecture AWS, incluant les réseaux, la haute disponibilité, la gouvernance et le contrôle des accès ;
• Automatiser l’infrastructure avec Terraform, Ansible et les pipelines CI/CD, et développer des modules réutilisables ;
• Mettre en place et maintenir les pratiques de sécurité infonuagique, l’analyse de posture, la gestion des secrets et la conformité aux normes ;
• Définir les standards techniques, les pratiques d’ingénierie, la gouvernance infonuagique et les politiques d’usage ;
• Harmoniser et superviser les environnements (dev, test, prod) ainsi que le cycle de vie complet de la plateforme ;
• Encadrer les spécialistes techniques, participer aux décisions d’architecture et vulgariser les solutions auprès des parties prenantes.
   

QUALIFICATIONS ET EXPÉRIENCE : 

• Diplôme d'études collégiales ou baccalauréat dans un domaine pertinent (informatique, génie, etc.) ou équivalent ;
• Minimum de 10 ans d'expérience en TI dont plus de 5 ans en architecture infonuagique ;
• Expérience significative sur Kubernetes/Openshift, AWS, Terraform, Ansible, GitOps (Argo CD) et des outils d'observabilité comme Prometheus/Grafana (requis) ;
• Capacité à communiquer, illustrer et synthétiser des concepts et des architectures ;
  
• Connaissance de la sécurité infonuagique et expérience en environnements distribués (atout) ;
• Excellente habiletés en résolution de problèmes complexes.

 AVANTAGES SOCIAUX : 

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés ! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres : 

• 4 semaines de vacances cumulables dès l’embauche 
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise 
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut. 
• Des assurances collectives modulables 
• Le transport en commun ou le stationnement est remboursé lorsque requis  
•  Des primes au référencement de nouveaux candidats 
• 11 congés fériés 
• Des congés personnels 
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap.

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte

Vous souhaitez vous épanouir dans un environnement de travail stimulant ? Joignez-vous au leader en transformation numérique et boostez votre carrière chez Levio. Nous vous proposons une opportunité unique de développer votre savoir-faire au sein d’une équipe de haut calibre.  

La variété des défis proposés par nos clients vous donnera l’occasion de vous dépasser et de maintenir votre expertise au top. Partagez le quotidien de nos clients et soyez un acteur important dans les projets les plus ambitieux en matière de technologies et de solutions logicielles.  

DESCRIPTION DU POSTE :  

Nous sommes à la recherche d'un(e) Conseiller.ère en ingénierie de données pour différents projets d'envergure. Le conseiller en ingénierie de données maitrise de bout en bout les environnements de production, d’extraction, de nettoyage et d’exploitation des données. Il conçoit, construit et maintient les infrastructures de données pour assurer la collecte, le stockage, et l’analyse efficace des données au sein de l’entreprise.  
  

RÔLE ET RESPONSABILITÉS : 

• Recueillir les besoins analytiques exprimés par les utilisateurs ;
• Designer et réaliser des pipelines d'ingestion et de transformation de données ;
• Mettre en œuvre des solutions de lac de données, entrepôt de données, comptoir de données ;
• Effectuer des spécifications et de la documentation de mapping de données ;
• Contribuer au développement des méthodes et documenter les solutions techniques ;
• Assurer la performance, la sécurité et la fiabilité des infrastructures de données. 

COMPÉTENCES ESSENTIELLES 

• Compréhension des processus ETL : Expertise dans les processus d’extraction, de transformation et de chargement des données ;
• Connaissance de l’architecture moderne des données. Maitrise au minimum un des écosystèmes de données infonuagiques suivants :
  • Microsoft Azure: Fabric, Data Factory, Synapse Analytics, Power BI, et Azure Data Lake 
  • Amazon Web Services (AWS) : Amazon Redshift, QuickSight, et AWS Glue  
  • Snowflake
  • IBM Cloud :  IBM Cognos Analytics et IBM Db2 Warehouse
  • Connaissance des bases de données, langages SQL, procédures/fonctions stockées  
• Maîtriser SSIS et le langage SQL, procédures/fonctions stockées ;
• Maîtriser les concepts et la pratique liés à la modélisation de données ;
• Maîtriser les langages de programmation Python, Java, DAX.

QUALIFICATIONS ET EXPÉRIENCE : 

• Baccalauréat en informatique, en génie logiciel, ou dans une discipline appropriée enrichi d’un programme spécifique en intelligence d’affaires ;
• Expérience d'au moins 7 ans et plus dans le domaine de l’intelligence d’affaires ;
• Détenir une certification à jour sur un des écosystèmes de données infonuagiques suivants : Microsoft Azure; Amazon Web Services (AWS), Snowflake, IBM Cloud  (atout)
• Connaissance des principes de développement Agile ;
• Esprit d’équipe, capacité à aider ses collègues et à partager ses connaissances au profit de l’équipe ;
• Autonomie, rigueur et orienté client. 

AVANTAGES SOCIAUX :  

Levio offre plusieurs avantages dans le but d’offrir la plus grande flexibilité possible à ses employés! En plus d’offrir un environnement de travail stimulant et dynamique, nous offrons entre autres :  

• 4 semaines de vacances cumulables dès l’embauche
• Horaires flexibles
• Une allocation de développement professionnel (ADP) utilisable pour des formations, de l’équipement informatique et des activités physiques 
• Formations adaptées à vos domaines d’expertise
• Régime Enregistré d’Épargne Retraite (REER) avec contribution employeur jusqu’à un maximum de 3% de votre salaire brut.
• Des assurances collectives modulables
• Le transport en commun ou le stationnement est remboursé lorsque requis 
• Des primes au référencement de nouveaux candidats
• 11 congés féries 
• Des congés personnels
• Une vie sociale active (5 à 7, club social, cafés et collations santé, etc.)

Statut du poste : Temps plein, permanent 

Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

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

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

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.

Help us keep our network reliable, secure and running smoothly!

Do you thrive in environments where secure, high-performance networks are the top priority? As a Senior Network Administrator, your primary focus will be managing and strengthening our network infrastructure. You will oversee the configuration and operation of firewalls across cloud and on-premises environments, ensuring reliable and secure network operations. 

You will also contribute to the improvement and optimization of our network infrastructure, including routing, hybrid connectivity, segmentation, and overall performance, helping ensure reliability, scalability, and resilience across our infrastructure.

As our Senior Network Administrator, you will: 

• Manage and configure enterprise firewalls (e.g. Palo Alto) across cloud and hybrid environments to ensure strong perimeter and internal network security.
• Support automation of network-related tasks where relevant, using scripting or infrastructure tools. 
• Monitor system health, optimize performance, and ensure high availability across compute, storage, and networking resources.
• Support incident response and disaster recovery planning, and collaborate on security activities.
• Document infrastructure designs, operational processes, and security controls.

Here is what will qualify you for the role: 

• 5+ of experience in network and firewall configuration and maintenance.
• Experience with network related automation and scripting
• Strong working knowledge of firewall configuration and design (policies, zones, VPNs), Wi-Fi and network authentication (Aruba, ClearPass), and advanced troubleshooting.
• Experience working with cloud networking (AWS, Azure, or equivalent)

Here is what would make you stand out:

• Excellent communication, documentation, and cross-functional collaboration skills.
• Relevant networking or cloud certifications (e.g. AWS Advanced Networking, Palo Alto, or equivalent).
• Experience with scripting (Python, Bash, or PowerShell) to support network administration tasks.

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.

Help us keep our network reliable, secure and running smoothly!

Do you thrive in environments where secure, high-performance networks are the top priority? As a Senior Network Administrator, your primary focus will be managing and strengthening our network infrastructure. You will oversee the configuration and operation of firewalls across cloud and on-premises environments, ensuring reliable and secure network operations. 

You will also contribute to the improvement and optimization of our network infrastructure, including routing, hybrid connectivity, segmentation, and overall performance, helping ensure reliability, scalability, and resilience across our infrastructure.

As our Senior Network Administrator, you will: 

• Manage and configure enterprise firewalls (e.g. Palo Alto) across cloud and hybrid environments to ensure strong perimeter and internal network security.
• Support automation of network-related tasks where relevant, using scripting or infrastructure tools. 
• Monitor system health, optimize performance, and ensure high availability across compute, storage, and networking resources.
• Support incident response and disaster recovery planning, and collaborate on security activities.
• Document infrastructure designs, operational processes, and security controls.

Here is what will qualify you for the role: 

• 5+ of experience in network and firewall configuration and maintenance.
• Experience with network related automation and scripting
• Strong working knowledge of firewall configuration and design (policies, zones, VPNs), Wi-Fi and network authentication (Aruba, ClearPass), and advanced troubleshooting.
• Experience working with cloud networking (AWS, Azure, or equivalent)

Here is what would make you stand out:

• Excellent communication, documentation, and cross-functional collaboration skills.
• Relevant networking or cloud certifications (e.g. AWS Advanced Networking, Palo Alto, or equivalent).
• Experience with scripting (Python, Bash, or PowerShell) to support network administration tasks.

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.

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

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  

Back-End Developer

What You’ll Do

As a Back-End Developer at Poka, you’ll play a key role in building, improving, and maintaining the services and infrastructure that power our applications and support thousands of frontline workers. You’ll work closely with Product, Frontend, QA, and Engineering teams to deliver scalable, reliable solutions — while continuously improving how we build.

You will:

• Design, build, and maintain backend services with Python and PostgreSQL
• Work in a distributed, microservices-oriented environment
• Participate in technical design and architecture documentation
• Deliver high-quality code backed by automated testing
• Contribute to the evolution of our cloud infrastructure (AWS, Docker) and CI/CD pipelines
• Take part in code reviews, technical discussions, and mentorship
• Embrace and experiment with AI tools to optimize workflows and explore new approaches to problem-solving

What You Bring

• 3+ years of experience in backend application development
• Strong skills in Python (or strong interest in learning it)
• Solid understanding of microservices architectures and relational databases (ideally PostgreSQL)
• Experience with cloud environments and containerization tools (e.g., AWS, Docker)
• Familiarity with DevOps practices and CI/CD pipelines
• Comfortable using AI tools to assist with coding, documentation, content generation, or task automation

Technologies We Use

• Python
• PostgreSQL
• AWS
• Docker
• GitHub, CI/CD
• A growing set of AI productivity tools

What Makes You Stand Out

• You’re curious, resourceful, and take ownership
• You bring a positive mindset and a collaborative spirit
• You’re interested in how AI is changing the landscape of work—and excited to evolve with it
• You aspire to write clean, maintainable, and high-quality code
• You care about system reliability, your teammates, and your craft

Ready to Apply?

We’d love to meet you. Apply now and let’s explore how you can grow with us at Poka. 🚀

Who we are

Artefact is a new generation of a data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 300+ client base around the globe.

We have over 2000 employees across 34 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Responsibilities

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

• Key Responsibilities

  • Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
  • Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
  • Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
  • Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
  • Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
  • Develop and enforce best practices in data governance, security, and compliance within the organization.
  • Optimize data retrieval and develop dashboards and reports for business teams.
  • Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

   

  Qualifications

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 6+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
  • Extensive experience with cloud services such as Azure Data Factory and AWS Glue.
  • Demonstrated experience with Databricks and Snowflake.
  • Solid understanding of CI/CD principles and DevOps practices.
  • Proven leadership skills and experience managing data engineering teams.
  • Strong project management skills and the ability to lead multiple projects simultaneously.
  • Excellent problem-solving skills and the ability to work under tight deadlines.
  • Strong communication and interpersonal skills.
  • Excellent understanding of data architecture including data mesh, data lake and data warehouse.

  Preferred Qualifications:

  • Certifications in Azure, AWS, or similar technologies.
  • Certifications in Databricks, Snowflake or similar technologies
  • Experience in the leading large scale data engineering projects

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

We're looking for a Senior SDET who thinks deeply about quality in systems that are inherently non-deterministic. Agentic AI doesn't fail the same way traditional software does — and testing it requires a new toolkit: eval frameworks, prompt regression, tool-call reliability, adversarial scenarios, and more.

You'll own the entire quality infrastructure across our product portfolio — from test data and CI pipelines to the standards and culture of how we ship. You'll work directly with product, devops, and AI engineering, with no layers between your decisions and their impact.

What You'll Own

• Test infrastructure, test data, test processes across the entire product portfolio while working with Devops and Infrastructure engineers
• Test Framework - build and enhance automated testing frameworks and tools that facilitate automated testing across different layers of application.
• The reliability bar for all Web applications, Mobile applications and AI agent outputs — from hallucination detection to latency regressions and tool-call correctness
• Test infrastructure, test data, and test processes across the entire product portfolio, alongside DevOps and Infrastructure engineers
• Automated testing frameworks that span all layers of the application — unit, integration, contract, and end-to-end
• Evaluation frameworks designed for LLM-based systems: non-deterministic output scoring, prompt regression, and adversarial test suites
• HIPAA-aware test data management — de-identification pipelines, synthetic data generation, and audit trail validation
• Integration of automated tests into CI/CD pipelines for continuous delivery confidence
• Build stability monitoring and release gate enforcement before any deployment
• Documentation of test plans, test results, and evaluation standards to support knowledge sharing
• The "safety net" for product quality — you define what done looks like

What We're Looking For

• 8+ years of hands-on SDET experience, with recent work building or testing agentic AI systems (single- or multi-agent) in production
• Experience in healthcare or life sciences — you understand what's at stake when a system fails in this domain
• A true tester's mindset: you seek out edge cases, adversarial inputs, and failure modes others overlook
• Proficiency across the full test pyramid — unit, integration, system, performance, and exploratory — plus familiarity with LLM-specific evaluation approaches
• Strong debugging skills across multi-tier web and mobile architectures; comfortable jumping into production incidents
• Proficiency with testing frameworks such as Jest, React Testing Library, Supertest, and pytest.
• Hands-on experience with testing tools like Cypress, Playwright, Supertest, and pytest (including requests or Selenium-based testing)
• Experience testing RESTful APIs using tools like Postman or Supertest
• Solid command of JavaScript and Python

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Experience with red-teaming or adversarial testing of AI systems
• Native mobile testing experience (iOS, Android)
• Prior work with 21 CFR Part 11, GxP, or similar regulated-software validation frameworks

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter

Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

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 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. 

The Role

This is a full-ownership data engineering role at the center of Medeloop's AI platform. You won't be maintaining pipelines someone else built,  you'll be architecting the data backbone that powers AI agents doing real operations at scale. You'll work directly with data scientists, AI engineers, and product teams to turn raw, complex healthcare data into the clean, structured, semantically-rich foundation our AI scientists depend on. Your work shows up in customer products and research outcomes, not internal dashboards that no one reads.Candidates who currently perform these tasks exclusively through manual processes are unlikely to be suitable for this role. We require an individual who has already adopted and integrated AI techniques to enhance operational velocity, rather than one who is contemplating future experimentation.If you want to build something that genuinely changes how medical research gets done, this is the role.

What You'll Own

• The healthcare data lake: curating, extending, and evolving it through new concepts, derived variables, and data models that directly inform our AI engines and customer products
• AI-native data workflows: designing and operating AI-powered pipelines (using tools like Claude Code and agent frameworks) to automate harmonization, cleaning, quality checks, and summarization at scale
• NLP and semantic infrastructure: building pipelines for entity extraction, concept normalization, embedding-based retrieval, and semantic search that power the AI Scientist platform
• Novel data extraction approaches: experimenting with and building new methodologies for working with unstructured clinical data, not just applying existing playbooks
• Research-grade data products: delivering analytical samples, cohorts, and final datasets that withstand scientific scrutiny and are actively used by researchers and customers
• Data governance and observability protocols: including access controls, PHI/PII handling, data classification, compliance, monitoring, alerting, data freshness, and comprehensive documentation to enable self-service capabilities.

What We're Looking For

• 3+ years of relevant data engineering or data management within an analytics-driven organization, with end-to-end ownership from raw ingestion to final data product
• Deep hands-on experience with healthcare CDMs (OMOP, FHIR, PCORnet) — designing or extending them, not just querying
• Knowledge of medical ontologies: UMLS, SNOMED CT, RxNorm
• Experience with big data, data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, embedding workflows, and other AI/ML workloads. Experience in big data tooling such as Spark, Iceberg, EMR
• Fluent in Python and SQL; comfortable across structured and unstructured data
• Proven NLP experience: semantic search, entity recognition, concept normalization, embedding pipelines
• Strong grasp of inferential statistics and cohort methodology to be a real partner to data scientists and customers (as part of onboarding)
• Experience contributing to an AI/ML product, especially in automated research or scientific discovery
• Experience mentoring other engineers and providing technical leadership

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Authorship or contribution to peer-reviewed publications or technical reports

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