Top Software Engineer Jobs in Vancouver

Plans, authors, executes, and maintains manual and automated system-level tests for maritime navigation software. Responsibilities include functional, regression, performance, exploratory, and integration testing; defect investigation; requirements traceability; technical documentation; troubleshooting complex systems; and collaboration with multidisciplinary teams and customers. The role may provide technical leadership, mentor junior staff, manage test laboratories, support customer acceptance testing, and travel to installation or testing sites.

Build and operate scalable full-stack software and AI-powered products for IoT-driven physical operations. Responsibilities include defining technical strategy, developing backend services, APIs, frontend and potentially mobile features, transforming AI capabilities into customer products, partnering across functions, leading complex projects, mentoring engineers, and improving engineering standards.

Build core MongoDB distributed database infrastructure focused on data partitioning, data movement, dynamic scaling, cluster elasticity, workload execution, and performance. Design reliable distributed protocols, solve complex scalability problems, review code, participate in architecture decisions, lead feature development, and mentor engineers. The role requires production-quality C++ development and strong expertise in distributed systems, computer architecture, performance, networking, observability, and resiliency.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build and own backend services, web applications, REST APIs, webhooks, and enterprise integrations. Lead customer integrations from scoping through launch, improve the operator dashboard, and maintain production reliability through monitoring, incident response, and root-cause analysis. Collaborate with product, success, and customer engineering teams while contributing to code reviews, technical design, mentoring, security, and AI-assisted development.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.

Build and operate backend systems, APIs, integrations, automation workflows, and enterprise knowledge infrastructure for AI applications. Develop retrieval pipelines, vector database solutions, and agent-based systems while improving scalability, observability, reliability, and performance. The role requires production software engineering, modern AI architecture knowledge, clear documentation, testing, and collaboration with technical and nontechnical teams.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Lead the design, development, delivery, and operation of secure, scalable authentication platform capabilities, including sign-in, account recovery, MFA, session management, authorization, and identity federation. Collaborate with Product, Security, Fraud, Compliance, and engineering teams; improve reliability, monitoring, code quality, and security practices; resolve production issues; mentor engineers; and communicate technical decisions and trade-offs.

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.

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.