Top Software Engineer Jobs in Vancouver

Leads the design, development, testing, debugging, and operation of scalable distributed systems for Fabric data mirroring. Responsibilities include architecture, coding, code reviews, dependency management, telemetry and root-cause analysis, automated testing, reliability, security, performance optimization, and collaboration with technical and project stakeholders.

Design and build scalable experimentation platform capabilities supporting AI, agentic, data, and big-data workloads. Develop self-service and agent-assisted experiences for experiment setup, governance, execution, and analysis. Collaborate with engineering, product, and data science teams on architecture and technical decisions. Improve service reliability, scalability, performance, observability, and maintainability while contributing to distributed systems and cloud platform development.

The Senior Software Engineer will enhance IBM ODM Rule solutions, focusing on fraud rule engines, large-scale migrations, and platform modernization while ensuring high availability and low latency solutions.

Build and operate customer-facing frontend experiences for search, recommendations, and generative AI. Own software development end to end, including architecture, implementation, testing, delivery, observability, and long-term evolution. Collaborate with backend, machine learning, product, and design teams; review code, advise on technical designs, participate in interviews, and mentor engineers. Improve performance, scalability, accessibility, maintainability, and developer experience across complex frontend systems.

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.

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.

Design and develop AI-driven cloud security platforms that automate security risk evaluation and remediation at scale. Build reliable, secure, and observable distributed services; write, test, debug, and optimize production code; contribute to architecture; monitor and restore services; and collaborate with engineering, security, and product teams. Apply AI, automation, secure coding, DevSecOps, and cloud technologies to improve security operations and service reliability.

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.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

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 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 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.

Build and maintain Go backend services for billing, including usage tracking, estimates, alerts, invoicing, integrations, and migrations. Troubleshoot billing issues, protect sensitive customer and payment data, and collaborate with Finance, Product, Support, and global engineering teams. Write tested, documented code and contribute to reliable distributed systems.

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 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 optimize computer graphics pipelines for gaming, animation, and VFX projects. Integrate Maya and other DCC APIs, automate data processing, support machine learning data workflows, and optimize systems for cloud infrastructure. Collaborate with artists, researchers, and technical teams to debug pipeline issues, manage large datasets, and improve procedural production workflows.

Architect and develop scalable backend microservices for payments, disbursements, or governance, risk, and compliance. Build secure, high-performance financial systems using Google Cloud and distributed-system technologies, support millions of daily requests, and collaborate with product, operations, and compliance teams. The role also includes mentoring junior engineers, improving platform capabilities through analytics and feedback, and implementing payment, KYC, AML, and regulatory workflows.

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.