Top Software Engineer Jobs in Vancouver

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.

Build and maintain Life360’s iOS advertising SDK, mediation and header-bidding integrations, ad formats, privacy and consent flows, instrumentation, and experimentation systems. Improve ad quality, performance, and reliability at large scale while collaborating with ad operations, data, product, and external partners. Use AI-native workflows with agentic coding tools, contribute to architecture and incident response, and mentor teammates.

Build and scale customer-facing iOS marketplace experiences using Swift and SwiftUI. Implement feature-flagged functionality, write unit and UI tests, collaborate with Product, Design, Android, backend, QA, and senior iOS engineers, and take increasing ownership of reliability and operational health. Use AI tools for coding, refactoring, testing, debugging, documentation, and reducing repetitive work while critically validating generated outputs.

Build and scale fullstack Growth Platform systems, including self-service marketing tools, experimentation infrastructure, and customer and event-data integrations. Develop frontend and backend features, design and consume APIs, ensure scalability and maintainability, and collaborate with marketers, analysts, lifecycle teams, product managers, and engineers. Contribute to technical design, code reviews, testing, and process improvements while supporting attribution, data activation, and customer engagement.

Develop and maintain modern C++ software for an industrial 3D sensor platform. Responsibilities include architecting features, optimizing memory and performance, managing concurrency, integrating hardware and software across Windows and Linux environments, and delivering reliable factory-automation capabilities. The role includes ownership from concept through deployment, unit testing, code reviews, Agile collaboration, mentoring, and cross-functional work with product, UI/UX, vision, and QA teams.

Lead the strategy, architecture, and operation of an internal agent platform, AI infrastructure, developer infrastructure, and workflow automation. Build reliable, governed agents and tools, establish adoption practices and success metrics, partner cross-functionally, contribute feedback to Temporal products and open-source architecture, mentor engineers, and participate in on-call operations.

Set the multi-year technical direction for the Builder Platform, leading agent platforms, AI infrastructure, developer infrastructure, and productivity engineering. Establish governance, architecture, standards, metrics, and adoption strategies across the company. Partner with engineering and business leaders to prioritize AI opportunities, improve developer productivity, guide customer-zero feedback into products and open-source frameworks, mentor technical leaders, and reduce operational burden through systemic improvements.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, automated recovery, production handoff, on-call support, incident response, and root-cause analysis across hardware, networking, Linux, Kubernetes, and distributed services.

Build and scale software infrastructure for GPU asset provisioning, data center management, monitoring, lifecycle automation, and distributed system testing. Develop reliable platforms across hardware, networking, cloud providers, and AI training applications. Work with GPU diagnostics, cluster and network telemetry, Kubernetes or SLURM, fault tolerance, state management, and system architecture to support large-scale machine learning infrastructure.

Develop and deliver features for large-scale web applications using full-stack technologies across React, TypeScript, Node.js, Microsoft, and cloud stacks. Collaborate in agile Scrum or Kanban teams with architects, QA, product management, and stakeholders. Contribute to CI/CD, DevOps, troubleshooting, performance, security, and continuous improvement while building high-quality software solutions.

Lead full-stack development of people intelligence products, including performance, compensation, talent review, rewards, and employee self-service tools. Design scalable integrations with HR systems and people data platforms, protecting sensitive employee information through authentication, authorization, and auditability. Partner with People teams to simplify complex processes, lead products from conception through iteration, and improve engineering standards through reviews, documentation, and mentorship.

Owns the GitHub-based build and release environment, including CI/CD pipelines, runners, testing, packaging, and artifact publishing. Improves build speed, reliability, security, and release repeatability while managing cloud compute resources. Troubleshoots complex build, test, and infrastructure failures, monitors system health, and documents architecture and procedures. Collaborates with engineers to improve tooling and communicates build status, incidents, and changes clearly.

Designs and implements behavior planning systems for autonomous vehicles operating in structured, low-speed airport environments. Develops planning algorithms, decision-making modules, and scalable C++ and Python software; tests in simulation and real-world scenarios; optimizes performance and latency; and collaborates with autonomy and engineering teams. The role involves multi-agent interaction modeling, state machines, behavior trees, probabilistic planning, path planning, dynamic replanning, documentation, and system integration.

Build and ship backend software for Stripe’s Metronome infrastructure and financial automation products. Design scalable distributed systems, collaborate with infrastructure, security, design, and operations teams, mentor engineers, and troubleshoot production issues across services and system layers. The role requires strong coding ability, autonomy, and experience developing large-scale backend systems, with preferred exposure to event-driven architectures, billing, financial reporting, and engineering mentorship.

Build and deploy full-stack applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, evaluate AI-generated solutions for security and reliability, instrument products, analyze usage and outcome metrics, identify automation opportunities through customer conversations, and document effective prompts and development patterns.

Build scalable, high-performance backend systems, owning complex projects from planning through deployment. Collaborate with product and customer teams, contribute hands-on code, guide technical direction, review code, and provide architectural feedback while helping the company scale.

Build and deploy complete applications, workflow automations, and basic AI agents using AI coding agents. Translate customer needs into specifications, instrument solutions, evaluate AI-generated output for security, privacy, reliability, and quality, and iterate based on usage and outcome metrics. Participate in customer conversations to identify automation opportunities and document effective prompts and development patterns.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, and correctness. Provide detailed written feedback, distinguish response-quality levels, define evaluation standards, and record short video explanations. This flexible remote contract requires strong software engineering experience, familiarity with AI-assisted development workflows, and the ability to make rigorous, opinionated judgments without reviewing every line of code.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Responsibilities include designing platform APIs, plugin architecture, job orchestration, SDKs, reliability and observability capabilities, testing, performance improvements, technical leadership, code reviews, mentoring, and cross-team problem solving.

As a Senior Software Developer, you will architect and develop robust software solutions, enhance software stability, manage tech debt, and collaborate with teams while staying updated on new technologies.

Design, develop, and maintain scalable RESTful APIs and core business systems. Reduce technical debt, optimize architecture, participate in code reviews, promote engineering best practices, and deliver small features through the full development lifecycle. Collaborate within an agile engineering team while troubleshooting problems and improving system stability and performance.

Build and own core infrastructure for Motion’s AI agent runtime, including its virtual machine, internal services, integrations, and platform primitives. Develop end-to-end features using TypeScript, Node.js, Rust, and related technologies while ensuring systems are fast, reliable, secure, and scalable. Collaborate on a small, high-ownership team, make architectural decisions, translate technical issues into business impact, and use AI-assisted coding while maintaining strong engineering standards.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.