Top Software Engineer Jobs in Ottawa

The role involves developing backend services using Python and Django, ensuring high availability and performance, and leveraging computer vision technology for 3D experiences in home decor.

As a Senior Full Stack Software Engineer at Doxel, you will design and develop applications for project management, focusing on complex data handling and intuitive UI. Your role involves collaborating across teams and providing technical leadership in software projects.

Build full-stack features across a Next.js frontend and FastAPI backend, implement responsive React UIs, integrate AI-powered workflows and streaming responses, consume auto-generated OpenAPI clients, write tests and optimize performance, and collaborate on code reviews and product design.

Design and implement features for content ingestion pipelines, metadata services, and content processing workflows. Build reliable, observable services that handle diverse file formats, malformed inputs, retries, and asynchronous workflows. Collaborate with ML, Search & Discovery, and Product to improve metadata extraction, classification, and discoverability while leveraging LLM-based tools and AI-driven practices.

Design, develop, test, deploy and maintain backend services and APIs for satellite payload planning. Optimize databases and schemas, implement data transformation pipelines, ensure high availability, participate in architecture design, and provide on-call operational support.

Design, build, and operate an online feature store and associated batch/streaming pipelines. Optimize Postgres schemas for real-time feature serving, ensure reliability and freshness for ML models, lead technical enhancements, partner with cross-functional teams, mentor junior engineers, and contribute to code reviews and system design.

The Senior Staff Software Engineer will lead web platform architecture and development, mentoring engineers while driving improvements in infrastructure, web development strategy, and AI tool integration.

Build full‑stack features that automate reporting and slide/document generation: database models, async workflows, UI components, AI insights, native charts, data sync optimizations, and integrations with BI and content platforms.

Lead fullstack technical work connecting Python/Django backend services with Unity (C#) client, drive technical roadmap, own live-ops reliability and incident management, mentor cross-functional teams, deliver scalable features, and reduce technical debt for a live-service mobile/PC game.

Build and maintain highly scalable, low-latency microservices in Go to ingest, process, and manage user profile and audience data. Implement event-driven systems with Kafka, work with distributed stores (ScyllaDB, TiDB, Redis), optimize performance and memory, and collaborate with Product, ML, Data, and Infrastructure teams.

As a Senior Software Engineer, you'll develop core infrastructure for multi-agent systems, designing backend services and APIs for orchestration, collaborating across teams, and driving technical decisions in a dynamic environment.

Develop and enhance robust software solutions, improve software stability, manage technical debt, and collaborate in an agile environment.

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.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

The role involves developing tools for enterprises to manage Hightouch deployments, focusing on access control, change management, and data warehouse performance.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

Join Canonical as a graduate software engineer to write high-quality code across the open source stack, work on Linux system-level and application projects, engage with communities, respond to customer issues, and develop security-aware software while collaborating remotely and attending biannual in-person team sprints.

Design and implement MAC control-plane software for satellite point-to-point and point-to-multipoint links. Develop schedulers, admission-control, state machines, QoS, flow control, and link-adaptation logic. Define interfaces to PHY/modem/hardware, evaluate centralized vs. distributed architectures, build simulation and test capabilities, and lead development through hardware integration, qualification, and deployment.

Build, productionize, and optimize a GPU-based inference stack combining GPU prefill with Cerebras decode. Implement and operate model-serving APIs, vLLM/PyTorch/ROCm runtimes, deployment and reliability practices, performance profiling and optimization, cross-layer debugging, numerical validation, and benchmarking/infrastructure for production inference at scale.

Design and develop software to automate bare-metal configuration, orchestration, scheduling, and job placement for large wafer-scale clusters. Build upgrade/patch workflows, monitoring, HA failure handling, visualization and alerting, and user/admin tools. Ensure on-premise and cloud deployment support and develop tests and debugging tools for distributed systems.

Design, build, deploy, and maintain scalable backend features and APIs for enterprise restaurant products. Lead complex projects, ensure quality with automated testing, monitor rollouts, collaborate with UX/PM, mentor engineers, and partner across teams to improve functionality and reliability for customers.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.