Top Software Engineer Jobs in Vancouver

Design, build, and maintain reliable backend APIs, services, and systems. Collaborate with stakeholders and engineering teams to deliver scalable features, shape technical roadmaps, improve tooling and processes, document services, and uphold engineering standards. The role emphasizes highly available production services, data pipelines, and fraud prevention or compliance expertise within banking or fintech.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Build and ship security tools for agentic AI workloads running on Kubernetes. Responsibilities include traffic interception, policy enforcement, runtime protection, workload discovery, and observability. The role involves developing production software with technologies such as eBPF, Go, Python, Cedar, agentgateway, OpenTelemetry, and ClickHouse, while owning features end to end in a fast-moving environment.

Lead hands-on development and operation of backend-heavy full-stack systems for billing, usage metering, rates, and marketplace workflows. Build Go services and APIs, contribute to TypeScript/React applications, manage databases and Kubernetes infrastructure, automate operational processes, investigate production issues, and execute deployments and migrations. Provide technical leadership through design, reviews, mentoring, incident response, and end-to-end project delivery.

Develop and deploy customer-facing financial products end-to-end. Collaborate with engineers, Sales, and Support to understand customer needs, design banking experiences, and build scalable, operable solutions. Own user experience, data models, metrics, testing, and ongoing improvements while maintaining high engineering standards.

Lead development of production teleoperation and robotic data-collection software. Build reliable, low-latency systems for robot control, motion capture, visual and haptic feedback, and hardware-in-the-loop testing. Evaluate robotics research and integrate promising methods into maintainable products. Guide architecture, mentor engineers, and coordinate with controls, hardware, machine learning, and customer teams. Apply expertise in C++, Python, ROS 2, kinematics, coordinate transforms, and latency-sensitive robotic systems.

Provides hands-on technical leadership across product engineering pods, designing scalable cloud-native systems and driving architectural consistency. Responsibilities include system design, distributed services, APIs, microservices, event-driven integrations, technical discovery, code quality, mentoring, documentation, and multi-team initiatives. The role partners with product, compliance, and clinical stakeholders while improving scalability, reliability, security, performance, and developer experience across healthcare platform technologies including Azure, .NET, Kafka, FHIR, and HL7.

Provides hands-on technical leadership for cloud-native healthcare platform architecture and development. Designs distributed systems, APIs, microservices, and event-driven integrations; guides multi-team technical initiatives; mentors engineers; improves scalability, reliability, security, performance, and developer experience; and partners with product, clinical, compliance, and engineering stakeholders. Leads technical discovery involving FHIR, HL7, Kafka, AI integration, and modernization initiatives.

Design, develop, and improve scalable software for an investment platform. Lead software development across the lifecycle, mentor junior engineers, solve complex technical problems, maintain code quality through testing and reviews, and recommend technology enhancements. The role is remote in the USA with four in-person retreats annually.

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.

Develop and operate large-scale distributed payment systems using reactive architectures. Responsibilities include coding, testing, deployment, automation, troubleshooting, service integration, architectural contribution, Agile collaboration, secure coding, and documentation. The role also involves reviewing team work, mentoring engineers, improving processes, and contributing to technology standards. Candidates should have strong object-oriented programming skills, preferably in Java, plus experience with CI/CD, Kafka, Flink, cloud development, infrastructure as code, and automated testing.

Develop and enhance highly available, scalable, fault-tolerant IAM services on Akamai’s Compute Platform. Design resilient software, build tools for seamless deployment and operation, improve IAM features and customer experience, and research emerging technologies. The role requires extensive Linux software development, Python or Java expertise, secure software delivery, IAM knowledge, and experience with enterprise tools including Git, JIRA, and Jenkins.

Develop end-to-end software for Unity Video products using AI coding agents in a plan-first, test-verified workflow. Translate requirements into implementation plans, direct and review agent output, validate behavior through unit, integration, and end-to-end tests, and support large-scale front-end architectures and rich user interfaces. Contribute to CI/CD, containerization, DevOps tooling, test automation, technical mentorship, and software quality standards. This hybrid role requires residence in Greater Vancouver and office attendance.

Design, implement, test, and peer-review software while collaborating on core AI infrastructure systems. Support customers through scoping, proofs of concept, trials, production deployments, and escalations. Contribute to startup culture, project ownership, and process improvement while solving complex computer systems problems.

Develop web applications at scale as part of a full-stack engineering team. Collaborate across distributed teams to solve complex customer problems, build performant and reliable SaaS products, review code, optimize databases, learn new technologies, and contribute to Agile development. The role emphasizes curiosity, mentorship, communication, large-scale systems experience, and applying AI to improve software development.

Build and deliver end-to-end full stack features for Remitly Business, from React frontends to Go backend services and APIs. Own architecture, reliability, security, and observability for money-movement flows, mentor engineers, collaborate with cross-functional partners, and drive roadmaps and technical standards.

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.

Leads technical direction for Everand’s backend platform, including architecture, reliability, observability, CI/CD, databases, queues, and scalable distributed systems. Partners with product, design, analytics, web, mobile, and ML teams to deliver personalized reading and listening experiences. Mentors engineers, drives architecture reviews and modernization efforts, improves technical quality, and owns platform health, performance, cost, and resilience.

Develop and support business integrations and internal applications across NetSuite, EDI workflows, REST APIs, SQL databases, and Azure services. Build automation and services with C#/.NET and JavaScript, troubleshoot integration and production issues, optimize database queries, and participate in testing, code reviews, release planning, and support. Collaborate with technical teams, business stakeholders, and external partners to deliver reliable, documented solutions and reduce manual processes.

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.

Build and modernize scalable enterprise data platform services, including AI-assisted automation, self-service workflows, and Apache Iceberg adoption. Develop Python and AWS platform tooling, improve reliability, support incident response, troubleshoot distributed data systems, and perform root-cause analysis. Partner with globally distributed engineering teams to improve data producer and consumer experiences, operational stability, and developer productivity.

Owns VM and fleet test strategy, hypervisor validation, performance quality gates, and systems-level testing for an IaaS platform. Designs reproducible bare-metal-like environments, develops automated benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses in Go, Python, and Perl. The role requires deep expertise in KVM/QEMU/libvirt, Linux internals, x86 and ARM architectures, performance analysis, statistical testing, and CI/CD tooling.

Build and operate CircleCI’s data query platform, including ClickHouse storage, event-driven ingestion, Temporal workflows, APIs, indexing, caching, and tiered storage. Design schemas, optimize high-volume queries, improve reliability and observability, and lead architectural decisions. The role requires strong backend engineering, distributed systems expertise, AI-native practices, and technical leadership across production data systems.

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 and maintain customer-facing backend services, APIs, and web integrations across the full stack. Design RESTful APIs and data models, ship features end-to-end, own production reliability, participate in incident response, and collaborate with product, SRE, and field engineering to deliver robust, observable services.