Top Software Engineer Jobs in Ottawa

Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.

Own and evolve company-wide platform systems including approval workflows, permissions, authentication, and notifications. Design scalable architectures, lead complex cross-functional initiatives, set engineering quality standards, guide technical investments, develop teammates, conduct interviews, and participate in on-call support. Build full-stack Ruby on Rails applications and APIs while advancing AI-enabled engineering workflows.

Lead full-stack development for an AI-powered insurance application using Python, React, Redux, PostgreSQL, and AWS. Define AI/ML architecture, research emerging technologies, and deliver secure, scalable, observable systems. Partner with product, design, and business teams; contribute to technical strategy and release planning; mentor engineers; and resolve ambiguous, system-wide technical challenges. The role requires expertise in full-stack development, production AI/ML systems, cloud infrastructure, distributed systems, microservices, and end-to-end AI project leadership.

Lead the design, scalability, reliability, and optimization of continuous integration systems, build pipelines, automated testing, deployment workflows, and developer productivity tooling. Improve feedback cycles, monitoring, alerting, incident response, and engineering enablement across the organization. Mentor CI engineers, establish CI/CD best practices, and align developer infrastructure with broader platform goals.

Own and evolve high-traffic consumer web experiences, experimentation, instrumentation, marketing technology integrations, conversion tracking, and measurement systems. Lead engineers through ambiguous projects, define technical plans, improve reliability and observability, support on-call operations, establish quality standards, and mentor team members. Partner with Product, Marketing, Analytics, Data Engineering, and platform teams to build performant, privacy-aware systems that address consent, cookies, tagging, and consumer-data requirements.

Develop and deliver full-stack web and mobile application experiences across Affirm’s consumer products. Responsibilities include breaking projects into tasks, collaborating with product, design, and analytics teams, building and maintaining APIs and user interfaces, monitoring application availability, participating in on-call support, conducting code reviews, debugging, and contributing to interviews and team development.

Build the application and cognitive layer for humanoid robots, translating speech, gestures, and contextual inputs into robotic actions. Develop behavior trees, state machines, voice applications, multimodal interaction systems, agentic AI workflows, and integrations with robotics capabilities. Work across LLMs, VLMs, perception, edge/cloud systems, telemetry, testing, observability, CI/CD, and production deployment for human-robot experiences.

Lead fraud decisioning engineering initiatives, architect and build complex backend systems, write and review high-quality code, mentor engineers, coordinate cross-functional teams, and improve fraud detection through analytics and data-driven decisions. Responsibilities include technical planning, system design, delivery, monitoring, maintenance, stakeholder alignment, and participation in engineering hiring and interview development.

Sets enterprise-wide technical strategy as the senior-most individual contributor in Technology. Owns target architecture, agentic AI foundations, cloud migration to AWS and Databricks, data platforms, model serving, experimentation, marketplace systems, performance, resilience, security, and auditability. The role requires hands-on engineering involvement, including code reviews, proofs of concept, design reviews, and incident analysis, while influencing teams and executives without formal authority and developing staff and principal engineers.

Develop and maintain cross-platform consumer mobile applications using React Native, TypeScript, and JavaScript. Build reusable components, integrate REST and GraphQL APIs, implement state management, optimize performance, troubleshoot crashes, support testing and CI/CD releases, and apply accessibility and usability principles. Collaborate with product, design, QA, and engineering teams in Agile delivery environments while contributing to code reviews, experiments, and engineering standards.

Build and own mobile SDKs for identity and fraud prevention products. Design authentication and fraud detection capabilities, make key technical decisions, author design documentation, review code, improve observability and production resilience, and collaborate with product and engineering leaders. The role includes mentoring engineers, driving technical initiatives, supporting developer experiences, and participating in an on-call rotation.

Lead technically complex card-acquiring payment projects from design through production. Build and operate highly reliable payment systems, integrations, testing and certification tooling, and shared engineering frameworks. Analyze ISO messages, network mandates, routing, authorization, clearing, settlement, and processing costs. Provide technical direction, mentor engineers, participate in on-call operations, and establish safe AI-assisted engineering practices for critical financial systems.

Develop backend capabilities for a regulated medical imaging platform using Java, Linux, PostgreSQL, REST APIs, and distributed architectures. Own features from requirements through release, improve performance, scalability, reliability, security, testing, and CI/CD, and resolve production issues. Integrate agentic coding tools with repository-level guardrails and auditable development practices. Mentor developers, collaborate cross-functionally, and contribute to healthcare interoperability and cloud-native initiatives.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Lead the architecture and evolution of native iOS foundations supporting seller-facing applications. Identify systemic problems, define platform strategy and standards, build prototypes and reference implementations, lead multi-quarter migrations, and establish practices for quality, testing, observability, release safety, and maintainability. Develop senior engineers and create scalable ownership models across teams.

Design and maintain distributed Lance dataset operations, develop high-performance indices and data formats, and improve query performance across Spark, Ray, and Trino. Contribute Rust-based table formats and encodings, integrate Lance with major open-source data infrastructure systems, operate internal data processing infrastructure, and promote the project through open-source communities and conferences.

Design, build, and operate Chainguard’s container product, including registry features, image build pipelines, distribution systems, adoption tooling, and customer-facing services. Own projects end to end, make product trade-offs, collaborate with customers and product managers, improve observability and reliability, support on-call operations, and use AI coding agents safely. The role requires systems thinking across containers, registries, build infrastructure, and customer clusters in a remote-first environment.

Build secure, production-critical payment infrastructure for AI agent transactions. Design Python and FastAPI services, APIs, domain models, provisioning workflows, and cryptographic payment flows. Ensure scalability, reliability, observability, security, and comprehensive testing. Use Kubernetes, AWS, Terraform, and GitOps to automate infrastructure. Collaborate with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Own and evolve the architecture of Agiloft’s AWS-based cloud services and CLM platform. Lead scalable, secure, resilient, and cost-efficient distributed-system design; define APIs, service boundaries, infrastructure, reliability standards, and technical roadmaps. Drive infrastructure as code, CI/CD, observability, automation, AI-assisted engineering, modernization, and developer experience improvements. Mentor engineers, influence cross-team technical direction, and partner with leadership and CloudOps on operational readiness, disaster recovery, and long-term platform strategy.

Leads large-scale software engineering projects from design through deployment, provides technical leadership and mentorship, contributes to architecture and engineering standards, drives testing and software quality, resolves production issues, develops scalable solutions, and collaborates across Product, UX, and Engineering teams. The role also supports Agile delivery, incident reviews, prioritization, stakeholder communication, and cross-team technical alignment.

Build and operate production AI platform services and customer-facing features primarily in Python. Develop agent runtimes, workflow orchestration, tool execution, evaluation, tracing, and observability systems. Integrate LLM workflows with distributed services and polyglot PHP and Java systems while optimizing reliability, latency, scalability, cost, and model quality. Provide technical leadership, architecture guidance, code reviews, mentorship, and cross-functional collaboration.

Build and ship AI-powered product features end-to-end using React, TypeScript, Django, Python, and GraphQL. Collaborate with Product, Design, and QA; write tests, participate in code reviews, draft technical specifications, and define success metrics. The role offers mentorship, rapid ownership, and opportunities to lead features from concept through production in a remote-first Ottawa startup.

Design, build, and maintain full-stack web applications supporting AI-driven product discovery, search, recommendations, personalization, and consumer experiences. Lead frontend technical design, develop React and TypeScript components, integrate backend APIs and AI capabilities, optimize performance and reliability, and contribute to backend services. Mentor engineers, participate in technical reviews, and collaborate with product, design, data, AI, and engineering teams.

Build and ship production web applications for government permitting, licensing, plan review, and inspection workflows. Direct and review AI coding agents, write specifications and acceptance criteria, and own correctness, performance, security, testing, and user experience. Collaborate within a senior product engineering pod, improve agentic development workflows, and learn municipal software domains. Success requires independently delivering reliable features and improving team engineering practices.

Designs, builds, and operates scalable backend services, APIs, microservices, and event-driven systems supporting personalization, recommendations, search, and AI-driven consumer experiences. Partners with AI/ML, data, product, and engineering teams; integrates search and generative AI capabilities; improves performance, reliability, observability, security, and operational excellence. Leads technical delivery, mentors engineers, contributes to architecture reviews, and promotes engineering best practices.