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

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

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

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

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

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

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

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.

At Higher Logic, engagement happens here. As the industry-leading, human-focused engagement platform, we deliver powerful online communities and communication tools to organizations looking to build, retain, and grow their member or customer base. We’re obsessed with engagement—and with 13+ years of experience in the industry, we’ve got it down to a science. We are a global company with offices throughout the US, Canada, and Australia. We serve more than 3,000 customers, representing over 350,000 online communities with over 200 million users across 42 countries worldwide.

Our team is a thriving community of authentic people with diverse experiences and perspectives. We are honest and genuine and believe that sharing ideas and feedback openly helps us to be successful. We believe that diversity and empathy bring us #AllTogether to make us stronger. We learn from failure and successes because both help us to grow and learn. We strive to understand the why behind our actions and bring our best selves to work every day.

Job Description

Higher Logic Vanilla is looking for a Senior Software Developer (Backend / PHP) who thrives at the intersection of product engineering, scalability, and modern developer workflows—including AI-assisted development. You’ll help build and evolve the core application systems that power rich community experiences for millions of users worldwide.

This role is primarily focused on backend and platform development, but success in this position requires strong product thinking, sound engineering judgment, and the ability to work effectively in a large, mature application with complex integrations, extensibility points, and performance considerations.

This is a great fit for someone who can own meaningful technical work, raise engineering standards, and use AI tools responsibly to accelerate delivery without compromising quality, security, or maintainability.

What You'll Do:

• Build, maintain, and ship high-quality product features in a multidisciplinary Agile team.
• Design and evolve backend systems that support large-scale, highly configurable community applications.
• Work across core application layers, APIs, integrations, and platform capabilities to deliver reliable end-to-end solutions.
• Write reliable, well-tested code; participate in code review; mentor teammates through thoughtful feedback and shared patterns.
• Triage, debug, and resolve production issues efficiently; collaborate closely with product, QA, support, and other engineers to close the loop quickly.
• Contribute to application performance, scalability, resilience, and maintainability across a large and evolving codebase.
• Help shape technical direction by improving architecture, coding standards, tooling, documentation, and team development practices.
• Participate in guild or cross-team engineering discussions to strengthen backend practices and promote sustainable patterns across the organization.

AI-Forward Development Responsibilities

• We’re looking for a software developer who is excited to rethink how software is built—someone eager to work in an AI-native, agentic development environment, where developers collaborate with intelligent agents to design, build, and iterate faster.
• Use AI-powered IDEs and assistants (e.g., Cursor, Copilot-style tools) to accelerate implementation, refactoring, debugging, and test generation—while ensuring correctness, security, and maintainability.
• Apply AI thoughtfully: write strong prompts, verify outputs, and incorporate guardrails such as automated tests, static analysis, code review, and runtime validation.
• Help define best practices for AI-assisted engineering, including where automation is most effective, what requires human review, and how to evaluate output quality in a production environment.
• Partner on AI-enabled product and platform initiatives where relevant, including areas like moderation tooling, content workflows, search and discovery, summarization, admin productivity, and internal developer efficiency.

What We’re Looking For (Required)

• Strong understanding of Agile values and principles.
• Strong software engineering fundamentals, including object-oriented design, modular architecture, and maintainable coding practices.
• Experience building and supporting production applications at scale, with attention to performance, reliability, and long-term maintainability.
• Experience designing and working with APIs and service boundaries in complex systems.
• Ability to debug effectively, reason through production issues, and make sound tradeoffs in a large application environment.
• Awareness of security best practices and experience identifying or addressing vulnerabilities in web applications.
• Comfort working in containerized or modern local development environments and with contemporary engineering workflows.
• Comfort with Git-based workflows, pull requests, and collaborative code review.
• Practical experience using AI coding tools (Cursor or equivalent) in day-to-day development, including validating generated code and avoiding insecure or low-quality patterns.

Desired Qualifications

• 5+ years of professional software development experience building and maintaining production web applications.
• Experience working in a large, mature application or platform with significant business logic, legacy considerations, and evolving architecture.
• Experience with extensible or modular systems such as themes, plugins, integrations, or configurable platform features.
• Experience working with asynchronous processing, background jobs, queues, or event-driven patterns.
• Familiarity with database-backed applications and the performance considerations that come with them.
• Experience with testing practices and tools that build confidence through automation.
• Strong product instincts: you communicate tradeoffs well, care about user outcomes, and understand how technical decisions affect the customer experience.
• Experience contributing to technical mentoring, architectural improvements, or shared engineering standards.

What You’ll Earn

• Competitive compensation.
• Comprehensive health benefits package.
• 401(k) plan with employer match.
• Healthcare and dependent-care flexible spending account.
• Company short-term and long-term disability insurance.
• Company culture that recognizes its employees.
• Room for growth and development and management that cares about your professional growth and will help you achieve your goals.
• Significant advancement opportunities for outstanding performers.

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

Why You’ll Love This Role

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

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

As An Active Member Of Our Team, You Will…

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

If You’ve Got It - We Want It

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

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

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

#LI-ML1
#LI-Remote

About AlayaCare 

At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.   

With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About the Role

We are seeking a Manager, Software Development to join our EVV (Electronic Visit Verification), VV (Visit Verification) as well as IVR (Telephony) team; he group ensures we can reliably prove care was delivered, enabling our customers to receive payment. Reporting to the Director of Engineering, you will lead a cross‑functional team of engineers; how visits are captured and verified (mobile, web, IVR), how verified visits are transformed into compliant EVV data for states and payers and the reliability and performance of these flows at scale.

You’ll be accountable for team health, technical direction, and delivery: keeping critical customer workflows stable while evolving the architecture toward more scalable, event‑driven systems.

What You’ll Do

People & Coaching

• Coach, and develop a team of backend and full‑stack engineers working on EVV, Visit Verification, and IVR.
• Participate in the recruiting process to grow the team.
• Provide clear expectations, regular feedback, and career development aligned with our engineering career framework.
• Cultivate a team culture grounded in ownership, growth, and mutual trust.

Performance & Delivery

• Drive planning, execution, and risk management for multiple workstreams in parallel (e.g., state integrations, EVV platform improvements, performance work).
• Maintain a single, coherent view of priorities, scope, and timelines, and keep stakeholders informed.
• Re‑plan when reality changes: call out risks early, renegotiate scope, and avoid quiet date slips.
• Take end‑to‑end responsibility for reliability of EVV/VV/IVR flows, including internal SLAs for high‑severity customer issues.
• Partner with our reliability and customer teams to triage, resolve, and prevent incidents.
• Leverage AI and emerging technologies to remove bottlenecks and accelerate execution while maintaining full accountability for quality and outcomes.
• Encourage thoughtful experimentation that supports the team’s effectiveness, articulates domain challenges with clarity and precision, and invests in innovation deliberately, balancing opportunity with operational discipline.
• Ensure root‑cause analyses are completed and lead to real follow‑ups in code, configuration, or process.
• Partner closely with Product, Customer Success, Managed Services, and other engineering teams (e.g., Revenue Cycle Management teams, Platform, Data).
• Turn recurring issues into shared initiatives (for example, mapping/config improvements with billing teams, better tooling with platform and data).
• Represent the team in planning forums, status reviews, and customer‑facing discussions when needed.

Technical & Operations

• Work with senior engineers to define and evolve the architecture for:

• Event-driven system migration.
• Visit Verification performance (query patterns, background jobs, pagination, caching).
• IVR call flows and their integration with the rest of the platform.

• Review key designs and pull requests (without being the primary coder) to highlight risks and align work with longer‑term goals.
• Champion end‑to‑end visibility for visits: from capture, through verification, into EVV exports, and on to payers and aggregators.
• Sponsor “safety net” work (e.g., reports and tools that detect missing or duplicated visits before they impact billing).
• Work with reliability and data teams to ensure the right monitoring, alerting, and dashboards are in place.

What You Bring to the Team

• Bachelor’s or advanced degree in computer science, mathematics, or related fields.
• 5+ years of hands-on experience in a SaaS environment, leading backend or full‑stack teams.
• Proven track record delivering complex projects with multiple stakeholders and dependencies.
• Hands‑on background as a software engineer; comfortable discussing designs, code, and trade‑offs in systems built with technologies like Python, SQL, and AWS/Kubernetes (or similar stacks).
• Experience improving reliability: incident response, post‑incident review, and building the guardrails and tooling that reduce incidents over time.
• Strong organizational and project management skills: you can coordinate several streams of work at once and keep plans and backlogs up to date.
• Excellent communication skills - able to explain technical and domain concepts to both engineers and non‑technical stakeholders.
• High ownership, empathy, and resilience: comfortable working in a domain with legacy systems, regulatory constraints, and partial migrations.
• Experience in healthcare, payments, or other regulated domains where correctness and auditability matter is an asset.
• Experience with feature flagging, modern observability tools, and CI/CD practices is an asset.
• Familiarity with event‑driven architectures, background job systems, and file‑based or API‑based integrations with external partners is an asset.
• Exposure to EVV, Medicaid, or Revenue Cycle Management concepts is an asset.
• Bilingual in French and English

Why Join AlayaCare?  

Work With Purpose  

At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every customer interaction contributes to making care more connected, accessible, and human.  

Grow in a High-Trust Culture  

We believe in transparency, feedback, and assuming positive intent. Here, you’ll feel safe to share your ideas and career goals, and be supported to achieve them through mentorship, career mobility, and a promote-from-within philosophy.  

Balance That Works for You  

We value flexibility and well-being. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life.  

Benefits That Matter  

• Equity in a well-funded, scaling company.  
• Comprehensive health benefits, telemedicine, and lifestyle spending accounts.  
• Parental leave top-up and family support programs.  

Inclusive by Design  

We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.  

Location and Work Model

This role is based in Montreal. At AlayaCare, our hybrid model includes 2 set in-office collaboration days/week, and it is expected that team members are present in the office on those days to foster connection, innovation, and teamwork.  

Ready to Join Us?  

Apply today and be part of a company that makes a real difference in the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.  

AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.  

We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to careers@alayacare.com. 

Technical Enablement Specialist

Reports To: VP, Services

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

About us

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

About the role

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

What to expect

Internal Training & Onboarding

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

External Training & Certification Program

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

Services Strategy & Operational Efficiency

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

What you need to perform in this job

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

What we bring to the table

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

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

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

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

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

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

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

As our Forward Deployed Engineer, you will:

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

Here is what will qualify you for the role:

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

What will make you stand out:

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

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

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

Join the Coveolife!

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

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

We are looking for a Senior Sales Engineer to join our Americas Field Sales team as an individual contributor. In this role, you will be a critical technical partner to our Enterprise sales organization, serving as the bridge between complex technical solutions and meaningful business outcomes. While this is a remote position based in Montreal, you will play a hands-on role in the field, with occasional travel to customer sites and internal events to drive regional success.

What You’ll Do

• Technical Advocacy: Create and deliver high-impact technical product presentations and demonstrations tailored to prospective enterprise customers.

• Solution Design: Partner with stakeholders to gather technical requirements, ensuring proposed solutions are perfectly aligned with customer goals and infrastructure.

• Validation Leadership: Lead product evaluations (POVs) and oversee custom product configurations to prove value in real-world environments.

• Strategic Planning: Design comprehensive evaluation test plans with customers, guiding the technical sales process from initial discovery to a successful outcome.

Who You Are

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome, navigating seamlessly between high-level strategy and hands-on execution.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace a challenge culture by giving and receiving candid feedback with respect to build trust and speed.

• You are a learner. You possess a true growth mindset and actively seek feedback to become a stronger teammate. You love what you do and you do it with purpose.

• You operate with urgency. You understand that in a high-growth environment, speed and quality go hand-in-hand. You focus on delivering high-impact results quickly to win for both the customer and the team.

• You are resilient and adaptable. You view change as an opportunity. You maintain composure in high-pressure situations, guiding yourself and your partners through complexity with a steady hand.

What We’re Looking For (Minimum Qualifications)

• 7+ years of experience as a Sales Engineer or Network Systems Integrator.

• Strong Technical Foundation: Proven background in Cybersecurity and Networking, including hands-on experience with TCP/IP, DNS, routing, VPNs, and firewalls.

• Education: Bachelor’s degree in Computer Science or a related field, or equivalent practical experience in a consultative technical role.

What Will Make You Stand Out (Preferred Qualifications)

• Industry Certifications: CCNA, Network+, CCNP, CCIE, or Security+.

• Execution Excellence: Proven experience running multiple concurrent POVs through to deal closure in a quota-carrying environment.

• Technical Curiosity: A passion for hands-on learning, such as managing self-discovery labs, writing technical blog posts, or creating educational content.

#LI-Remote
#LI-AA5

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

Ingénieur Backend Principal – Plateforme Edge (Systèmes de diffusion publicitaire)
Poste à temps plein (Hybride)
Montréal, Canada

(English below)

Vous êtes-vous déjà demandé comment ces écrans extérieurs parviennent à diffuser des publicités qui semblent correspondre exactement à vos goûts et à vos centres d’intérêt ? Il s’agit de la publicité numérique extérieure (DOOH – Digital Out Of Home), généralement rendue possible grâce à la technologie programmatique. C’est précisément ce que nous faisons. Perion a révolutionné l’avenir de notre industrie en développant une plateforme technologique publicitaire full stack unique.

Du côté acheteur, les spécialistes marketing utilisent la plateforme DSP (Demand Side Platform) de Perion pour créer des campagnes mesurables qui activent les écrans DOOH en temps réel selon le comportement des consommateurs et les schémas de déplacement des audiences. Du côté vendeur, les propriétaires de médias DOOH utilisent la SSP (Supply Side Platform), l’Ad Server et le Header Bidder de Perion pour gérer leur inventaire et maximiser leurs revenus.

La clé de notre succès réside dans notre incroyable équipe mondiale passionnée de rose. Nous ne nous limitons pas aux modèles de travail traditionnels : nous sommes flexibles face au changement et nous n’avons pas peur de nous démarquer et de défendre de nouvelles idées. Cela vous intéresse ? Rejoignez-nous et ayez un réel impact sur les écrans numériques à travers le monde.

Description du poste
Relevant du VP Engineering, nous recherchons un(e) Ingénieur(e) Backend Principal (Edge Lead) pour prendre la responsabilité technique de nos systèmes de diffusion en temps réel tout en dirigeant et développant une équipe d’ingénieurs.

Il s’agit d’un rôle de leadership opérationnel — un véritable poste de joueur-entraîneur.

Responsabilités principales

Responsabilité technique
• Architecture et évolution de nos composants Ad Server, SSP, Exchange et d’exécution DSP
• Systèmes distribués à haut débit et faible latence
• Optimisation des performances (latence, mémoire, débit)
• Fiabilité, résilience et stratégies de reprise après incident
• Planification de la scalabilité et prévisions de capacité
• Orientation technique pour les refactorisations et les améliorations à long terme

Vous définirez les standards architecturaux et prendrez des décisions critiques en conception système ayant un impact direct sur les revenus et la performance de diffusion.

Leadership d’équipe
• Gestion directe des ingénieurs de l’équipe Edge (Ad Delivery)
• Mentorat, développement de performance et recrutement
• Élévation des standards d’ingénierie (qualité du code, observabilité, rigueur opérationnelle)
• Point d’escalade pour les défis complexes en production ou d’architecture

Excellence opérationnelle
• Responsabilité de la fiabilité système et définition des SLO
• Direction des réponses aux incidents et des post-mortems
• Analyse des causes racines et amélioration systémique
• Amélioration de l’observabilité et de la surveillance des services

Ce que vous ferez au quotidien

• Concevoir et implémenter de nouvelles fonctionnalités dans des systèmes temps réel
• Refactoriser et optimiser des services critiques en performance
• Réviser l’architecture et le code
• Diriger les discussions techniques et la planification de feuille de route
• Encadrer les ingénieurs et mener les évaluations de performance
• Résoudre des incidents complexes en production

Ce poste demeure fortement technique avec une implication pratique importante.

Profil recherché

Expérience requise
• 7+ ans d’expérience en ingénierie backend
• Solide expérience en systèmes distribués et infrastructures de production
• Expérience dans des systèmes à haut débit et faible latence
• Maîtrise de Go, C/C++, Python, Java ou langages backend similaires
• Excellentes bases en informatique (structures de données, algorithmes, complexité)
• Expérience en gestion d’ingénieurs ou en leadership technique
• Compréhension approfondie de :
  - Concurrence et parallélisme
  - Arbitrages en conception système
  - Modes de défaillance des systèmes distribués
  - Profilage et optimisation des performances

Fortement apprécié (non obligatoire)
• Expérience AdTech / RTB / OpenRTB
• Expérience avec SSP, Exchange ou DSP
• Travail sous contraintes temporelles strictes (budgets <100 ms)
• Expérience production avec Kubernetes et AWS
• Optimisation mémoire, CPU et réseau

Stack technologique
Langages : Golang, Python
Bases de données : MySQL, Redis, Kafka, Clickhouse
Infrastructure : AWS, Kubernetes, Docker
DevOps : Terraform, Helm, GitHub Actions, CircleCI, Argo

À quoi ressemble le succès

• Amélioration de la latence, disponibilité et stabilité
• Meilleure efficacité économique de diffusion publicitaire
• Réduction des incidents de production
• Orientation architecturale claire
• Culture d’ingénierie renforcée
• Ingénieurs autonomes et performants

Ce que nous offrons

• Rémunération compétitive et avantages santé
• Assurance santé
• Plateforme de santé virtuelle
• Allocation annuelle bien-être
• Plateforme d’apprentissage et développement
• Contribution REER
• Vendredis flexibles
• 3 journées personnelles
• Congés maladie illimités
• Travail hybride / à distance
• Avantages supplémentaires télétravail

Notre culture
 Nous sommes une entreprise bienveillante.
 Nous agissons rapidement.
 Nous avançons ensemble.
 Nous innovons et prenons des risques calculés.

Perion s’engage à promouvoir la diversité, l’équité et l’inclusion. Nous sommes un employeur offrant l’égalité des chances.

Lead Backend Engineer – Edge Platform (Ad Delivery Systems)

Full Time Position (Hybrid)

Montreal, Canada

Have you ever wondered how those outdoor screens manage to deliver advertisements that seem to speak directly to your likes and interests? It’s called digital out of home advertising and it’s usually enabled by programmatic technology. That’s exactly what we do. Perion  revolutionized the future of our industry by building our unique full stack ad tech platform.

On the buy side, marketers use Perion’s Demand Side Platform (DSP) to create measurable campaigns that activate DOOH screens in real time based on consumer behavior and audience movement patterns. On the sell side, DOOH media owners use Perion’s Supply Side Platform (SSP) & Ad Server and Header Bidder to manage inventory and drive revenue.

The key to our success has been our amazing pink-loving global team.  We don’t like to rest on traditional workplace models, we are flexible to change and we aren’t afraid to stand out and champion new ideas. Sounds interesting? Come join us and make a real impact on digital screens around the world.

Job description

Reporting to the VP Engineering, we are looking for a Lead Backend Engineer (Edge Lead) to take technical ownership of our real-time delivery systems while leading and growing a team of engineers.

This is a hands-on leadership role — a true player-coach position.

What You’ll Own

Technical Ownership

• Architecture and evolution of our Ad Server, SSP, Exchange, and DSP execution components
• High-throughput, low-latency distributed systems
• Performance optimization (latency, memory, throughput)
• Reliability, resiliency, and failover strategies
• Scalability planning and capacity forecasting
• Technical direction for refactors and long-term platform improvements

You will set architectural standards and make critical system design decisions impacting revenue and delivery performance.

Team Leadership

• Direct management of engineers within the Edge (Ad Delivery) team
• Mentorship, performance development, and hiring
• Raising engineering standards (code quality, observability, operational rigor)
• Acting as the escalation point for complex production or architectural challenges

Operational Excellence

• Own system reliability and SLO definitions
• Lead incident response and postmortems
• Drive root-cause analysis and systemic improvements
• Improve observability and monitoring across services

What You’ll Spend Your Time Doing

• Designing and implementing new capabilities in real-time systems
• Refactoring and optimizing performance-critical services
• Reviewing architecture and code
• Leading technical discussions and roadmap planning
• Mentoring engineers and conducting performance reviews
• Troubleshooting complex production issues

This role remains deeply technical. We expect strong hands-on involvement.

What We’re Looking For

Required Experience

• 7+ years of backend engineering experience
• Strong background in distributed systems and production infrastructure
• Experience building or owning high-throughput, low-latency systems
• Strong proficiency in Go, C/C++, Python, Java, or similar backend languages
• Excellent Computer Science fundamentals with regards to data structures, algorithms, time complexity, etc.
• Experience managing engineers or leading technical teams
• Deep understanding of:
• Concurrency and parallelism
• System design tradeoffs
• Failure modes in distributed systems
• Performance profiling and optimization

Strongly Preferred (not mandatory)

• AdTech / RTB / OpenRTB experience
• Experience with SSP, exchange or DSP systems
• Experience working within strict timing constraints (sub-100ms request budgets)
• Kubernetes and AWS production experience
• Experience optimizing memory, CPU, and network performance

Our Technology Stack

• Languages: Golang, Python
• Databases: MySQL, Redis, Kafka, Clickhouse
• Infrastructure: AWS, Kubernetes, Docker
• DevOps: Terraform, Helm, GitHub Actions, CircleCI, Argo

What Success Looks Like

• Improved ad delivery latency, availability and system stability
• Improved efficiency and ad delivery economics
• Reduced production incidents
• Clear architectural direction across the Edge platform
• Stronger engineering culture within the component team
• High-performing, autonomous engineers

What we’ll bring to the table/What’s in it for you:

Competitive compensation packages, health and wellness benefits including:

• Healthcare package
• Virtual healthcare platform 
• Annual wellness allowance
• Learning and development platform
• RRSP matching
• Flexible Fridays
• 3 personal days
• Unlimited sick days
• Hybrid/remote work 
• Additional Work from home perks

Our culture

Our core values reflect the essence of who we are and how we work towards a common goal. Our core values are:

• People First - We are a business that cares. We care about our partners. We care about each other. 
• Embrace the fast lane - As a group we are motivated by our ability to think and act quickly under all circumstances.
• Move as one - Our team of excellent achievers is a reflection of the faith and belief we all have in each other. 
• Innovation over comfort - Innovate through experimentation and take calculated risks often. 

Interested in learning more about Perion? Check out our website here.  

Feel this is the right opportunity for you? We would love to hear from you. Please apply here.

Perion is committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. Perion is a proud equal opportunity employer.