Top Software Engineer Jobs in Ottawa

The role involves designing, developing, and deploying GraphQL APIs, creating user-friendly interfaces, and collaborating within a remote team on web applications for telecommunications.

The role involves ensuring quality and reliability of a routing engine, developing automated testing solutions, and improving CI/CD pipelines. Collaborate with engineering and product teams to elevate quality standards and influence design decisions.

Build scalable, high-performance front-end experiences using React/Next.js and Three.js, collaborate with product and design, own systems, integrate computer vision, and deliver polished UX for customers.

Develop scalable front-end and back-end features for a consumer-facing 3D/AR product using computer vision. Collaborate with product and design, own systems lifecycle, ensure performance and quality, unblock partners, and continuously learn and improve.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

Build and own AI-driven workflows and agentic systems, integrate LLMs, manage CI/CD and cloud infrastructure, handle monitoring and incident triage, automate ops, contribute full-stack when needed, and communicate technical tradeoffs to non-engineering stakeholders.

As a Staff Software Engineer, you'll lead a team in developing and delivering scalable software solutions for employee management in the restaurant industry, focusing on enhancing customer and employee experiences.

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.

Design and implement features for content ingestion pipelines, metadata services, and content processing workflows. Build reliable, observable services that handle diverse file formats, malformed inputs, retries, and asynchronous workflows. Collaborate with ML, Search & Discovery, and Product to improve metadata extraction, classification, and discoverability while leveraging LLM-based tools and AI-driven practices.

Join the Signup & Activation team to build and optimize frontend experiences that drive user acquisition and early activation. Collaborate with product, design, analytics, and backend engineers to implement high-quality, performant React/TypeScript interfaces, run experiments (A/B testing and personalization), and own well-scoped features from design through delivery in a Rails-backed environment.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Build and optimize backend distributed systems to extract, enrich, and process metadata at scale. Integrate LLMs and ML models into production pipelines, ensure data quality and monitoring, collaborate with ML engineers and product, and maintain infrastructure, security, and performance of metadata systems.

Build and optimize frontend signup and activation experiences using modern JavaScript and TypeScript. Collaborate with product, design, and analytics to implement high-converting, accessible, and performant user flows, own features from design through implementation, and participate in experimentation and personalization to improve conversion.

Develop and implement C/C++ embedded software for pre-silicon verification of Ethernet/networking IP (including TSN) for next-generation SoCs. Collaborate with IP design and verification teams, perform trade-off analysis, ensure portability and high-quality code across platforms, and drive continuous improvement in design methodology.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

The role involves developing backend services using Python and Django, ensuring high availability and performance, and leveraging computer vision technology for 3D experiences in home decor.

Develop and enhance robust software solutions, improve software stability, manage technical debt, and collaborate in an agile environment.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

The role involves developing tools for enterprises to manage Hightouch deployments, focusing on access control, change management, and data warehouse performance.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.