Top Engineering Jobs in Ottawa

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

Responsible for improving product margins and handling production issues across various product lifecycle stages. Collaborates with multiple teams to optimize testing and yield processes and resolves customer non-conformance issues.

Lead Rewind's full technology function (engineering, cloud infrastructure, security, and support). Define and execute technology vision and architecture for scale and reliability, own technology budget, build high-performing teams, drive AI-powered engineering practices, maintain SOC 2/GDPR/CCPA compliance, and align engineering with customer needs and product roadmap.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

Hands-on Engineering Manager to write production backend code, drive API and architecture decisions, own CI/CD and reliability, mentor and grow engineers, run team ceremonies, manage delivery and incidents, and participate in hiring.

Lead the Lifecycle Management team, ensuring high-quality delivery while managing customer escalations and technical decisions with a focus on AI adoption and team development.

Lead a small engineering team to design, build, and operate PlanHub's email delivery platform. Own architecture, cloud-native infrastructure (AWS, Terraform/OpenTofu, ECS), observability, reliability, and AI-assisted development practices. Mentor engineers, partner with product and infra teams, and drive scalable, fault-tolerant systems to support critical transactional email workflows and business needs.

Lead Booking engineering (five teams) to deliver high-scale scheduling, booking, communications, telehealth, and marketplace systems. Hire and grow engineering leaders, shape technical and AI strategy (agentic workflows, evals), drive high-velocity delivery with quality, partner with Product and Design, and scale the org through new product lines and rising customer demand.

Lead a team of developers to architect and scale Node.js and Salesforce products, improve developer velocity, and enhance solution performance.

Lead and grow an engineering team that owns NerdWallet's platform systems (Content Platform, CMS, Product Data Platform). Partner with Product and cross-functional teams to prioritize roadmap, ensure technical quality, drive architecture and modernization, enforce engineering best practices, manage delivery and availability, and mentor engineers while balancing short-term delivery with long-term maintainability, security, and compliance.

The Director of Platform Engineering will lead and evolve core engineering foundations, focusing on platform strategy, team growth, and cross-functional partnerships to enhance infrastructure for product development.

The VP of Software Engineering leads the engineering organization, driving software development, scaling teams, and ensuring compliance with standards while collaborating across functions to support product and customer success.

Lead and grow an engineering team building SELECT, a cloud cost management platform. Drive technical strategy, architecture, development practices, reliability, and cross-functional execution. Mentor engineers, manage performance and hiring, and improve delivery processes to scale the product and organization.

The Engineering Manager will lead a fullstack team in developing and scaling ClickUp's core products, focusing on technical leadership, team management, and product development to enhance performance and user experience.

Lead a multi-site engineering team to develop and execute a 5-year capital plan and deliver capital projects across US and Canada. Oversee Capital Initiative Management, procurement strategy, project KPIs (safety, food safety, CQV, schedule, budget), mentor staff, and drive continuous improvement and cross-functional collaboration. ~50% travel.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.

Lead platform-level delivery of software and AI/ML systems across multiple teams. Oversee shared infrastructure, DevOps/CI-CD, cloud cost optimization, telemetry, and automation. Mentor engineers, drive architecture decisions, manage stakeholders, and ensure scalable, secure, and reliable solutions aligned to strategic roadmaps.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.

Manage the Compute Services engineering team responsible for core infrastructure (Kubernetes, container orchestration, autoscaling, GitOps, automation). Set technical direction, mentor engineers, drive delivery and roadmaps, ensure resilience, observability, and quality, and recruit and scale the team while collaborating cross-functionally.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

The Senior Product Manager will own the product strategy for Build Engineering Reviews, collaborating with engineering and design teams to enhance user workflows and decision-making processes for mechanical engineering.