Top Software Engineer Jobs in Ottawa

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Build and operate Planet’s large-scale storage infrastructure, including object storage, metadata indexing, Elasticsearch search, event notification, and disaster recovery. Develop highly available backend services and APIs, monitor and tune production systems, respond to incidents, and improve performance. Advise engineers, lead technical projects, contribute to architectural roadmaps, participate in design reviews, and support engineering practices and documentation.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

As an AI-Driven Full Stack Engineer, you'll design and implement features for an AI-powered web application, working across the stack and integrating AI models to transform insurance processes.

The role focuses on optimizing coding practices and collaboration within the engineering team, improving internal tooling, and communicating between teams and leadership.

Develop, maintain, support, and enhance enterprise eCommerce solutions using Oracle Commerce. Collaborate with teams to improve services and applications.

Build scalable, high-performance consumer applications using computer vision and 3D experiences. Lead projects from concept through launch, own front-end systems, participate in architecture and design discussions, mentor engineers, improve development practices, support partners, and contribute to hiring and engineering culture.

Build and enhance Elasticsearch’s analytical query engine and ES|QL capabilities. Design data-intensive features, algorithms, and data structures; optimize performance; resolve bugs; and work near operating system and hardware layers. Collaborate with globally distributed engineering teams and open-source contributors, guide projects autonomously, review code, and improve Elasticsearch expertise and usability.

Lead DevOps architecture and technical strategy across engineering teams. Design and optimize enterprise CI/CD pipelines, highly available AWS and Azure cloud environments, Kubernetes and Docker platforms, and Infrastructure-as-Code solutions using Terraform and CloudFormation. Improve automation, observability, reliability, security, disaster recovery, and operational excellence while mentoring engineers and partnering with Engineering, Product, Security, and Operations teams across a global SaaS ecosystem.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Develop and implement image processing algorithms and software for digital microscopy and related systems, emphasizing testing, debugging, and maintenance.

Join the Invoice Simple Core team to design, implement, test, and ship TypeScript-based web and mobile features. Collaborate with product and senior engineers, follow engineering standards, improve maintainability, and support the full app lifecycle from development to production.

Lead AI agent optimization efforts by designing systems that improve token efficiency, response time, reliability, and output quality. Build agentic coding systems, develop AI application patterns, own features end to end, collaborate with engineering and field teams, support the developer community, and create public technical documentation. Work across Python, TypeScript, Java, and Go while serving as a domain expert in agent design and optimization.

Leads and mentors a software engineering team while remaining hands-on with Java and full-stack development. Guides architecture, code reviews, technical decisions, sprint planning, delivery, and stakeholder collaboration. Champions engineering practices including automated testing, CI/CD, monitoring, microservices, and continuous releases. Builds scalable production systems, reliable REST APIs, and high-performance database solutions using ReactJS, Java, PostgreSQL, Docker, AWS, and related cloud technologies.

Lead and execute perception R&D and engineering for factory robots: define multi-year roadmap, architect perception pipelines (detection, segmentation, 6-DoF pose, scene understanding), drive sensor fusion and calibration, establish data/model workflows and deployment practices, integrate with planning/control, hire and mentor engineers, and evaluate research for production adoption.

Design, build, deploy, and support scalable distributed observability systems for internal developers and customers. Lead the software development lifecycle, develop and review designs, ensure testing and production readiness, investigate reliability and performance issues, participate in on-call support, and collaborate across teams to improve Temporal’s infrastructure and platform capabilities.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Build and ship production AI agents that help mobile app developers manage subscriptions and paywalls. Own agent orchestration, tool execution, context management, evaluation, observability, permissions, and human-in-the-loop controls. Develop reliable, secure, user-facing backend systems, scope projects independently, monitor adoption, improve features after launch, participate in architecture and incident response, and mentor engineers.

Build, operate, and extend Affirm's data platform and application tooling to enable self-service data applications at scale. Implement platform features (provisioning, CI/CD, access control), integrations, data governance, automation, observability, and on-call operations. Contribute to roadmap for semantic layers, agentic data tooling, and AI-native workflows while raising engineering and operational standards.

Lead frontend design and delivery of AI product experiences using React and TypeScript, mentor engineers, set frontend standards, use AI-assisted tooling, and contribute to backend services in Go and product roadmaps.

Design, implement, and maintain scalable backend systems supporting Alpaca’s financial ledger and brokerage infrastructure. Own high-visibility features from design through deployment, collaborate with finance, operations, product, and engineering stakeholders, and improve system health. Build performant, reliable, maintainable services using modern distributed systems technologies while ensuring the ledger remains a correct source of truth for account transactions, reporting, and compliance.