Top Software Engineer Jobs in Ottawa

Lead the design, development, delivery, and operation of secure, scalable authentication platform capabilities, including sign-in, account recovery, MFA, session management, authorization, and identity federation. Collaborate with Product, Security, Fraud, Compliance, and engineering teams; improve reliability, monitoring, code quality, and security practices; resolve production issues; mentor engineers; and communicate technical decisions and trade-offs.

Develop and deploy slot-game features in Unity and C#, including gameplay, UI/UX, engine systems, and creator tools. Build server-backend functionality, investigate and extend slot-engine systems, define technical tasks, and quickly resolve bugs. The role requires collaboration, strong communication, and delivery under deadlines, with opportunities to work on live mobile games and performance optimization.

Join as the founding full-stack engineer to extend a TypeScript React/Next.js prototype, design product features, integrate AI/OCR, write tests and infrastructure, talk to users, and iterate quickly to drive growth.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Develop and maintain MCP tools and the MCP Toolbox for Databases; expand test coverage for agentic coding assistants; refactor and maintain test frameworks; convert technical posts into production-ready sample code and documentation; build real-world data applications (QueryData) to support product R&D and collaborate with cross-functional teams to accelerate agentic AI adoption.

Develop and support backend services, UI applications, REST APIs, integrations, and automation using Java, Go, and related technologies. Troubleshoot customer and production issues, perform root-cause analysis, write tests and documentation, participate in code reviews, and make component-level design decisions. The role also involves Docker-based deployments, Linux and Windows scripting, monitoring production systems, and applying software security, cryptography, and PKI principles.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Develop full-stack software tools, frameworks, and applications for Windows and cloud platforms supporting data collection, test automation, and high-volume manufacturing. Build scalable solutions across application and data layers using CI/CD and agile practices. Standardize test frameworks, troubleshoot complex environments, and collaborate with engineering and R&D teams to define requirements. Provide technical guidance while applying modern cloud, web, data science, and test-driven development technologies.

Build and maintain Quora’s machine learning platform and distributed model-serving infrastructure. Develop scalable systems for recommendation and language models, optimize GPU serving latency, throughput, and cost, improve ML tooling and feature stores, and contribute to platform modernization. The role includes production deployment, collaboration with senior engineers, mentoring, and participation in an on-call rotation.

Design and implement a multi-tenant web application for managing Microsoft Azure objects using the ASP.NET MVC stack. Translate stakeholder requirements into maintainable code, apply object-oriented design patterns, collaborate with team members, prioritize sprint tasks, meet deadlines, and support usability from design through user acceptance testing. The role requires web development, AI/ML, Azure, Git, and effective communication skills, along with a portfolio of programming or design work.

As a Software Developer II, you will design and implement software systems, collaborate with peers, and improve product capabilities using various technologies, particularly TypeScript and Python.

Build and improve AI-powered customer support agents for telecommunications providers. Responsibilities include developing the agent runtime, configuration tools, observability dashboards, evaluation frameworks, safety guardrails, continuous-improvement systems, and omnichannel integrations across voice, chat, email, and SMS. The role uses TypeScript across frontend, backend, and infrastructure in a serverless microservices environment, with emphasis on LLMs, agent design, product quality, and customer trust.

Develop and maintain full-stack imaging applications through design, implementation, testing, support, optimization, and documentation. Build Angular and TypeScript front ends with Node.js or Python back ends on AWS. Conduct code reviews, mentor junior developers, coordinate application support, improve performance and scalability, create validation and technical documentation, and contribute to project planning and continuous professional development.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Develop and optimize embedded systems software for automotive infotainment, telematics, and connected-car platforms. Responsibilities include performance measurement, bottleneck analysis, system-level optimization, automated diagnostics, memory and power optimization, telemetry pipelines, remote logging, and hardware accelerator integration. The role requires embedded C/C++, Python, Linux or Android internals, multithreading, and RTOS experience, with preferred expertise in profiling tools and automotive networking.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

Develop and enhance configurable SaaS and enterprise software platforms in Java and .NET environments. Responsibilities include analysis, design, software development, collaboration with product owners, and participation in an Agile/Scrum team. The role may involve cloud mobility, data visualization, and artificial intelligence technologies, requiring strong problem-solving, independent work, collaboration, and the ability to learn new concepts quickly.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Build and operate infrastructure security platforms centered on workload identity, service-to-service authentication, authorization, and short-lived credentials. Replace static secrets with identity-based systems, develop identity-authenticated proxies and APIs, and unify authorization policy management. Partner with platform and application teams to drive adoption, migrate legacy systems, and ensure reliable production infrastructure with strong developer experience.

Build realistic backend coding challenges, feature implementations, bug fixes, and deterministic verifiers for AI training projects. Evaluate code correctness, reliability, maintainability, and performance while incorporating automated testing, validation criteria, edge-case analysis, and secure coding practices. Work independently on scalable backend systems and APIs, refine tasks based on requirements, and document technical solutions clearly.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Develop and manage mission-critical infrastructure services for cloud development and testing. Build Python backend services, APIs, automation, virtual machine environments, reservation systems, reporting tools, and resilient test frameworks. Improve reliability, scalability, deployment performance, and observability across physical and virtual infrastructure. Provide technical leadership and mentorship while collaborating with global Development and SRE teams.

Build and improve Firefox WebCompat internal dashboards, reporting tools, and broken-site screenshot capture pipelines. The role involves creating reliable data views for triage and metrics, automating screenshot workflows, collaborating with WebCompat and QA teams, and translating reporting needs into effective tooling. Familiarity with WebCompat workflows, Bugzilla, screenshot automation, and machine learning is preferred.

Architect and develop production-grade business systems across Salesforce, NetSuite, and integrated enterprise platforms. Build quoting, subscription, and entitlement engines; create automation pipelines and API integrations; establish architecture, security, documentation, and code-review standards; and translate commercial policies into scalable technical solutions. The role partners with Finance, Sales Operations, Customer Success, and product stakeholders while maintaining system reliability, auditability, observability, and production readiness.