Top Software Engineer Jobs in Ottawa

Own end-to-end engineering problems across Babylist's Rails monolith and AI-enabled systems. Design, ship, and iterate on features and abstractions, run experiments, harden critical paths, review risky changes, and share AI learnings. Work across backend, frontend, mobile, data and ML infrastructure to improve customer outcomes and platform reliability.

Lead development and operation of cloud-native CI/CD pipelines, automate build/release workflows, onboard and integrate services, maintain availability and observability, collaborate across teams, support production environments and participate in on-call rotations.

The Connector Software Engineer will design, develop, and maintain software connectors for API and database integrations, focusing on data security and interoperability in enterprise systems.

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

As a Frontend Engineer, you'll craft user interfaces, write engineering requirement documents, build test suites, and integrate analytics for product success.

As a Backend Engineer, you will design scalable APIs, create Engineering Requirement Documents, and build test suites for product analytics and performance.

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.

As a Senior Full-Stack Developer at gaiia, you will architect, develop, and manage critical systems in a serverless environment, collaborating on core modules related to customer management.

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.

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.

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.

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.

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.

Contribute to design, build, test, and deploy software and AI-enabled solutions. Develop features, prototype AI functionality, troubleshoot and improve applications, and support integration and deployment while collaborating with stakeholders.

Build full‑stack features that automate reporting and slide/document generation: database models, async workflows, UI components, AI insights, native charts, data sync optimizations, and integrations with BI and content platforms.

Lead design and implementation of backend-focused fullstack features using Rails and GraphQL, build APIs, mentor engineers, own oncall responsibilities, improve architecture and data models, and deliver high-quality, tested code.

Build and maintain highly scalable, low-latency microservices in Go to ingest, process, and manage user profile and audience data. Implement event-driven systems with Kafka, work with distributed stores (ScyllaDB, TiDB, Redis), optimize performance and memory, and collaborate with Product, ML, Data, and Infrastructure teams.

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 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.

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.

The Senior Staff Software Engineer will lead web platform architecture and development, mentoring engineers while driving improvements in infrastructure, web development strategy, and AI tool integration.

The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.

Design, build, and operate scalable data ingestion, replication, and lakehouse infrastructure to move petabytes of data into a Delta Lake on S3. Improve reliability, observability, security, and developer experience for Spark/Databricks processing. Develop internal libraries and tooling (Go/Python), collaborate with cross-functional teams, and help shape long-term data platform and AI-ready infrastructure.