Top Engineering Jobs in Ottawa

Rubrik invites engineers to join their talent community to be part of a team dedicated to data security, innovation, and inclusion. Candidates should be motivated to tackle challenges and contribute to product development.

You will lead engineers to meet quarterly goals, support product development, solve complex issues, and foster talent development in your team.

Manage a team of ML engineers to develop machine learning solutions for underwriting applications. Set technical strategy, mentor engineers, and collaborate with teams across the organization.

Lead and grow multiple software engineering teams to deliver Financial Management product outcomes. Set technical direction, prioritize architecture, reduce tech debt, improve delivery metrics (cycle time, MTTR, predictability), embed shift-left testing and observability, drive incident response and RCAs, and apply AI/automation to increase velocity and quality.

Lead the Pipeline team to own strategy, execution, and operations for MongoDB’s end-to-end software delivery platform. Drive reliability, scalability, security, CI/CD and release systems, developer experience, telemetry, and organizational growth while partnering cross-functionally and serving as a senior escalation point.

Lead a developer productivity engineering team to improve the software development lifecycle through metrics, observability, data pipelines, and AI-enabled tools. Own roadmap, mentor engineers, partner with cross-functional leaders, and deliver measurable improvements in adoption, reliability, and developer experience.

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

Lead and grow a Maps & Search engineering team responsible for the home search experience across web and mobile. Stay hands-on with coding and architecture, scale a high-throughput search platform (~1B monthly requests), improve relevance and latency, integrate AI/LLMs into discovery and ranking, shape product roadmap, and own delivery, SLOs, and incident response.

Lead and scale engineering teams responsible for GitLab platform reliability, scalability, and lifecycle across SaaS and self-managed environments. Drive operational excellence, incident management, cloud cost efficiency, observability, tenant controls, and upgrade tooling. Set strategy, partner cross-functionally, coach managers, and deliver platform architecture and tooling to support modular services and large-scale operations.

Lead and grow a team of analytics engineers to build an AI-ready, centralized data foundation. Hands-on duties include writing/reviewing SQL and dbt, designing semantic and dimensional data models, driving data quality, observability, testing, and CI/CD, partnering cross-functionally to deliver scalable data products, and recruiting and developing engineering talent.

The program hires students for various administrative roles, providing hands-on experience in a dynamic environment at the House of Commons.

Support engineering teams in product and CAD design, create and revise drawings using GD&T, coordinate trials and vendors, perform data analysis, assist with equipment and workcell design, tooling/gauging, ergonomic and continuous improvement projects, and provide cross-department engineering support.

Lead and grow a distributed Growth engineering team to run experiments, improve signup/onboarding/activation, and deliver measurable gains in discovery, conversion, engagement, and monetization. Hire, coach, and enable engineers; drive technical design, planning, and execution; partner with Product, Design, and Data; prioritize experiments and scale winning changes; and promote AI-native experimentation and strong cross-functional collaboration.

Lead developer-focused content strategy and author AI-optimized documentation, tutorials, and technical marketing assets. Collaborate with PMM, DevRel, engineering, and platform teams to improve searchability and AI discoverability, enable contributors, and measure impact using web metrics to drive adoption of 1Password developer tools.

Lead a 0-to-1 pilot team to find and fix high-leverage SDLC friction, instrument system-level metrics (MRPM, pipeline success rate, latency), recruit and mentor four engineers, design and implement durable fixes, and drive adoption across engineering teams while reporting metric-driven outcomes to leadership.

The Director of Embedded Systems Engineering will lead the firmware organization, oversee technical roadmaps, process architecture, and integrate AI tools while managing JDM partnerships and ensuring operational excellence.

The Principal Technical Product Manager will lead cross-functional teams in product strategy, feature development, and lifecycle management for a new unannounced AAA mobile game, using data analysis to guide decisions.

Lead the Platform Firmware team at Samsara, driving hardware program execution, managing firmware engineers, and collaborating with various stakeholders for high-quality hardware delivery.

Teach Teamwork and Communication Skills to engineering students, focusing on team dynamics and effective professional communication through lectures and workshops, while assessing student performance.

Manage a technical team focused on Git and Git-related infrastructure, balancing upstream open-source work with GitLab priorities. Drive long-horizon scalability, performance, and architectural projects while fostering technical rigor, ownership, mentoring, and strong asynchronous communication across distributed teams.

The Head of Engineering, Platform will manage the engineering execution from architecture to delivery, focusing on improving AI workflows and team efficiency, while ensuring quality and reliability.

Lead the architectural vision for Bizplat, consolidating fragmented services into reusable platform capabilities. Design and build core systems (case management, workflow orchestration, AI/ML pipelines, event streaming), drive migrations, set engineering standards, mentor engineers, and partner with domain teams to translate operational needs into scalable, governable solutions.

Lead a team of ML engineers to develop and improve fraud detection models, defining strategies and fostering collaboration across functions to ensure effective model integration.

Lead the development of fraud prediction models, build feature pipelines, prototype modeling ideas, and productionize models while collaborating with cross-functional teams.

Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.