Top Software Engineer Jobs in Ottawa

Build and maintain Life360’s iOS advertising SDK, mediation and header-bidding integrations, ad formats, privacy and consent flows, instrumentation, and experimentation systems. Improve ad quality, performance, and reliability at large scale while collaborating with ad operations, data, product, and external partners. Use AI-native workflows with agentic coding tools, contribute to architecture and incident response, and mentor teammates.

Build and scale customer-facing iOS marketplace experiences using Swift and SwiftUI. Implement feature-flagged functionality, write unit and UI tests, collaborate with Product, Design, Android, backend, QA, and senior iOS engineers, and take increasing ownership of reliability and operational health. Use AI tools for coding, refactoring, testing, debugging, documentation, and reducing repetitive work while critically validating generated outputs.

Lead the strategy, architecture, and operation of an internal agent platform, AI infrastructure, developer infrastructure, and workflow automation. Build reliable, governed agents and tools, establish adoption practices and success metrics, partner cross-functionally, contribute feedback to Temporal products and open-source architecture, mentor engineers, and participate in on-call operations.

Set the multi-year technical direction for the Builder Platform, leading agent platforms, AI infrastructure, developer infrastructure, and productivity engineering. Establish governance, architecture, standards, metrics, and adoption strategies across the company. Partner with engineering and business leaders to prioritize AI opportunities, improve developer productivity, guide customer-zero feedback into products and open-source frameworks, mentor technical leaders, and reduce operational burden through systemic improvements.

Principal Software Engineer responsible for architecting and leading development of scalable, reliable backend systems and the core fintech platform. The role sets technical direction, leads complex cross-team initiatives, promotes architectural and engineering best practices, addresses technical debt and incidents, and mentors engineers. Candidates need 10+ years of technical leadership experience, deep distributed-systems expertise, Ruby on Rails experience, strong communication and influence skills, agile development experience, and familiarity with frontend architecture or full-stack systems.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, automated recovery, production handoff, on-call support, incident response, and root-cause analysis across hardware, networking, Linux, Kubernetes, and distributed services.

Build and scale software infrastructure for GPU asset provisioning, data center management, monitoring, lifecycle automation, and distributed system testing. Develop reliable platforms across hardware, networking, cloud providers, and AI training applications. Work with GPU diagnostics, cluster and network telemetry, Kubernetes or SLURM, fault tolerance, state management, and system architecture to support large-scale machine learning infrastructure.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Lead full-stack development of people intelligence products, including performance, compensation, talent review, rewards, and employee self-service tools. Design scalable integrations with HR systems and people data platforms, protecting sensitive employee information through authentication, authorization, and auditability. Partner with People teams to simplify complex processes, lead products from conception through iteration, and improve engineering standards through reviews, documentation, and mentorship.

Owns the GitHub-based build and release environment, including CI/CD pipelines, runners, testing, packaging, and artifact publishing. Improves build speed, reliability, security, and release repeatability while managing cloud compute resources. Troubleshoots complex build, test, and infrastructure failures, monitors system health, and documents architecture and procedures. Collaborates with engineers to improve tooling and communicates build status, incidents, and changes clearly.

Develop backend services, event-driven Kafka pipelines, web scrapers, and content integrations that collect, process, and index online media. Build Java REST APIs and TypeScript/Nest.js scraping systems, integrate third-party feeds and APIs, improve content quality, and collaborate with product and engineering teams. Contribute to testing, code reviews, refactoring, and continuous improvement across distributed data-processing systems.

Develop and maintain secure software applications throughout the software development lifecycle. Responsibilities include analyzing requirements, designing solutions, coding, code reviews, testing, debugging, documentation, deployment, maintenance, and collaboration with architects, QA specialists, project managers, and other technical teams. The role also supports CI/CD processes, security compliance, technical reviews, and continuous improvement.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, and correctness. Provide detailed written feedback, distinguish response-quality levels, define evaluation standards, and record short video explanations. This flexible remote contract requires strong software engineering experience, familiarity with AI-assisted development workflows, and the ability to make rigorous, opinionated judgments without reviewing every line of code.

Develop and maintain automated unit, integration, and end-to-end test frameworks for scalable virtualized server platforms. Define test strategies, performance quality gates, deployment validation, rollback verification, and test plans for microservices. Investigate deployment issues, troubleshoot root causes, collaborate with engineering teams on integration testing, improve test environments, and automate platform service deployments using scripting and CI/CD tools.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Responsibilities include designing platform APIs, plugin architecture, job orchestration, SDKs, reliability and observability capabilities, testing, performance improvements, technical leadership, code reviews, mentoring, and cross-team problem solving.

As a Senior Software Developer, you will architect and develop robust software solutions, enhance software stability, manage tech debt, and collaborate with teams while staying updated on new technologies.

Build and own core infrastructure for Motion’s AI agent runtime, including its virtual machine, internal services, integrations, and platform primitives. Develop end-to-end features using TypeScript, Node.js, Rust, and related technologies while ensuring systems are fast, reliable, secure, and scalable. Collaborate on a small, high-ownership team, make architectural decisions, translate technical issues into business impact, and use AI-assisted coding while maintaining strong engineering standards.

Design, develop, and deliver firmware and software for high-performance datacenter systems. Own projects across embedded firmware, device drivers, microcode, Linux and Yocto builds, control software, system bring-up, debugging, validation, automation, and product lifecycle support. Collaborate with multidisciplinary and partner engineering teams, assist with customer trials and field issues, and contribute from product inception through volume production.

Design, develop, and deliver software and firmware for datacenter-scale systems. Own complete product lifecycles spanning firmware, embedded Linux, device drivers, microcode, control software, system bring-up, debugging, validation, automation, customer trials, and field support. Collaborate with interdisciplinary and partner engineering teams, contribute through volume production, and support cross-functional groups. The role requires deep expertise in low-level interfaces, management protocols, secure boot, datacenter networking, and complex multiprocessor architectures.

Designs, develops, and delivers firmware and software for high-performance datacenter systems. Owns complete product lifecycles spanning embedded firmware, microcode, device drivers, Linux/Yocto builds, control software, system bring-up, debugging, validation, automation, customer trials, and field support. Collaborates with interdisciplinary and partner engineering teams while supporting products from inception through volume production.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Build and operate backend infrastructure and APIs for stablecoin-based payments, deposits, withdrawals, and transfers. Own projects from system design through production, improve distributed-system performance and reliability, collaborate with Product, Design, Infrastructure, and Compliance, and contribute to engineering quality through reviews and architectural best practices. The role requires blockchain integration experience and responsible use of generative AI.

Owns significant parts of a regulated insurance platform end to end, from discovering ambiguous customer problems through architecture, implementation, production deployment, and adoption. Establishes technical direction, builds full-stack systems, integrates AI and agentic workflows responsibly, collaborates directly with clients and business users, shapes the product roadmap, and mentors engineers. The role requires strong product judgment, startup ownership, pragmatic architecture decisions, and 5+ years of production software experience.