Top Software Engineer Jobs in Vancouver

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.

Develop and maintain large-scale on-premise and cloud video products (Avigilon Unity) using C++/C#. Contribute to architecture, CI/CD, containerization, test automation, and mentor team members while delivering APIs, database integrations, and DevOps pipeline improvements.

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.

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.

Develop and maintain EarnIn's iOS application features and architecture. Collaborate with product, design, and server teams to design APIs, build analytics, and implement scalable iOS solutions. Write unit and UI automation tests, follow software engineering best practices, and responsibly use AI-assisted development tools to improve code quality and speed.

Design, develop, test, and maintain Microsoft Dynamics Business Central extensions using AL. Create functional specs, implement CI/CD deployments to AppSource/PTE, develop automated tests, integrate generative AI features, perform troubleshooting and performance tuning, mentor juniors, lead refactoring and R&D, and conduct code reviews.

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.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

The Software Engineer will design, develop, and maintain features for the Kaleris TMS platform, focusing on building Angular web applications and collaborating in an agile environment.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.

Design and build scalable backend microservices for Payments, Disbursements, or GRC squads. Implement secure transaction and compliance workflows, integrate Google Cloud infrastructure, optimize for performance at millions of daily requests, collaborate cross-functionally, and mentor junior engineers.

Design, build, and scale backend microservices for Payments, Disbursements, or GRC squads. Implement secure, high-performance payment and disbursement workflows, KYC/compliance systems, and cloud-native infrastructure. Collaborate cross-functionally, mentor junior engineers, and iterate using analytics, feature flags, and gradual rollouts to support millions of daily requests.