Top Software Engineer Jobs in Ottawa

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

Develop custom customer integrations and provide Bubble.io guidance. Build and maintain Salesforce, HubSpot, and other CRM integrations; manipulate data with Python and Pandas; design AWS Lambda microservices; support client onboarding and collaborate with the development team to improve the platform.

Lead backend engineering for capacity modeling systems that forecast traffic, resource needs, and infrastructure scaling. Own quarterly team goals, guide engineers through complex problems, collaborate with product and analytics stakeholders, improve code and design standards, monitor system availability, support on-call operations, and develop team talent. Build highly available distributed systems, tune autoscaling and compute performance, and deliver scalable features using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity planning, policy automation, production debugging, and fleet-wide infrastructure improvements. The role leads cross-team initiatives, mentors engineers, participates in Kubernetes runtime on-call, analyzes resource profiles, and measures impacts on availability, latency, risk, and cost.

Build and own Keycard’s infrastructure platform, including bring-your-own-cloud deployments, multi-tenant and single-tenant cells, infrastructure as code, Kubernetes operations, releases, upgrades, observability, security guardrails, and audited break-glass workflows. Develop tooling and agents for installation, diagnostics, and operational support. Define compatibility matrices, deprecation policies, and upgrade processes while partnering directly with enterprise cloud and security teams.

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

Develop and maintain backend systems and full-stack software using PHP and Node.js, including containerized microservices on AWS Kubernetes. Responsibilities include system design, coding, testing, code reviews, troubleshooting, deployments, production support, and technical guidance. The engineer collaborates with product owners, project managers, DevOps, QA, and data engineering teams throughout the software development lifecycle, emphasizing reliability, performance, maintainability, and automated testing.

Designs, develops, and deploys agentic AI systems for cybersecurity, including vulnerability analysis, threat detection, alert triage, secure code generation, and remediation recommendations. Builds RAG pipelines, LLM integrations, APIs, microservices, and cloud-based platforms. Implements AI guardrails, threat modeling, human-in-the-loop governance, adversarial testing, explainability, and performance optimization while integrating systems with SIEM, SOAR, vulnerability management, and endpoint security tools.

Build and operate production Python services, AI-enabled workflows, RAG systems, multi-agent applications, and security automation platforms. Automate threat modeling, policy Q&A, vulnerability analysis, and code review while integrating tools such as GitHub, Slack, Jira, and Confluence. Design scalable pipelines, improve AI quality through evaluation and observability, manage production tradeoffs, and apply security controls to AI applications. Own initiatives from problem definition through production while collaborating with engineering and security stakeholders.

Build and operate AI-native engineering workflows, agentic coding systems, evaluation frameworks, guardrails, and customer-facing AI products. Design distributed systems and LLM pipelines using TypeScript, Go, AWS, and related cloud technologies. Lead architecture, code reviews, reliability practices, and end-to-end project delivery while helping engineering teams adopt AI tools and workflows. Interview candidates, document best practices, and continuously evaluate advances in foundation models and AI development tools.

Build and operate production AI systems for safety-critical enterprise applications. Responsibilities include multi-step LLM pipelines, agent orchestration, graph and hybrid retrieval, evaluation frameworks, observability, model selection, and production incident response. The role requires strong Python, FastAPI, asynchronous services, testing, and experience with LLM deployment, tool-calling workflows, evaluation, retrieval, and production operations. Graph expertise with Neo4j and Cypher is preferred, along with enterprise AI security and Azure experience.

Develop and maintain C#/.NET components for an enterprise on-premises software product. Apply and champion AI-assisted coding practices, improve testing, code quality, troubleshooting, documentation, and developer productivity. Participate in Agile/Scrum delivery, design, implementation, reviews, testing, integration, and release readiness. Collaborate cross-functionally, mentor developers, and provide technical ownership for key product functionality.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.

Designs, builds, and operates scalable internal applications, backend services, APIs, integrations, and automated employee workflows. Owns solutions from architecture through deployment and support while improving reliability, observability, performance, and maintainability. Collaborates across engineering, product, design, security, and People Technology teams; provides technical leadership through architecture reviews, code reviews, mentoring, and roadmap contributions. The role also explores AI-powered capabilities to improve employee workflows and engineering productivity.

Design, build, and scale backend data services, APIs, microservices, distributed systems, and high-volume data pipelines. Optimize PostgreSQL and Oracle databases, improve reliability and performance across regions, diagnose complex production issues, and mentor engineers. Partner with DBA and SRE teams while providing hands-on technical leadership and owning services end to end.

Develop and enhance Akamai EdgeWorkers applications and services for distributed edge computing. Responsibilities include shaping user-focused UI, CLI, and API experiences; writing Java and TypeScript code; participating in code reviews; troubleshooting production issues; implementing automated tests; debugging distributed Linux systems, microservices, and containerized environments; and collaborating across technical and non-technical teams.

Build and ship end-to-end features for Dover's marketplace and ATS. Propose product ideas, implement designs, launch, iterate in production, and collaborate closely with a small engineering team to move quickly and maintain high quality.

Serve as the technical anchor for Domino’s identity and authorization platform. Design scalable, relationship-based authorization using SpiceDB; guide migration from legacy access checks; build cloud-native identity integrations; improve platform reliability, security, and architecture; and advise engineering teams on authorization, APIs, abstractions, and AI-assisted development practices.

Develop and maintain embedded Linux software for VoIP telephone products across bootloaders, kernels, device drivers, system software, and applications. Build and debug software using C and C++, cross-compilation toolchains, and embedded development tools. Troubleshoot SIP, networking, signaling, media, and system integration issues while optimizing CPU, memory, startup time, and overall performance in resource-constrained environments.

Build and scale Supabase Storage across client libraries, CLI, CDN, storage servers, and deployment infrastructure. Responsibilities include improving upload and download performance, asset optimization, edge networking, caching, observability, reliability, APIs, developer tools, and the storage explorer. The role also involves PostgreSQL and distributed-systems performance tuning, infrastructure operations, escalated support resolution, and end-to-end project ownership in an asynchronous, remote, open-source environment.

Owns the design, implementation, testing, integration, and verification of embedded Linux application software for optical circuit switch platforms. The role includes hardware debugging, cross-functional collaboration, technical design decisions, code reviews, troubleshooting, and mentoring less experienced developers. Requires hands-on C/C++ development for ARM or x86 Linux systems, embedded build tools, networking technologies, distributed software, and hardware interfaces.

Build and ship full-stack product features across React, TypeScript, Django, Python, GraphQL, and related systems. Own features from technical planning through rollout, monitoring, and iteration. Collaborate with Product and Design, write tests, review code, troubleshoot user issues, and improve performance and reliability. Use AI coding agents and develop agentic workflows that improve engineering productivity while contributing to technical discussions and shared practices.

Develop and maintain software for mission-critical air and naval sonar systems. Responsibilities include requirements analysis, software design, coding, testing, integration, troubleshooting, code reviews, documentation, and technical support. The role involves collaborating with cross-functional teams, presenting technical content, and contributing to continuous improvement throughout the development lifecycle.

Develop and maintain mission-critical software for air and naval sonar systems. Responsibilities include requirements analysis, software design, coding, testing, integration, troubleshooting, root cause analysis, code reviews, documentation, technical presentations, and collaboration across engineering teams. The role supports defense programs requiring high-quality software development in Linux-based environments, using modern programming languages, Agile practices, object-oriented design, UML, and version control.

Interns will design, implement, test, debug, and document robotics software in C++ and Python within a Linux and ROS/ROS2 environment. They will contribute to scoped projects involving autonomy, navigation, perception, hardware integration, testing, or developer infrastructure. The role includes debugging hardware-software issues, code reviews, cross-functional collaboration, project communication, and a final presentation. Interns work full time onsite in Burlingame, California, with mentorship and structured feedback.