Top Software Engineer Jobs in Vancouver

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

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.

Lead the delivery of complex, cross-team software initiatives from design through rollout. Architect robust backend services, guide technical strategy, mentor engineers, improve reliability and observability, and raise engineering quality through testing, tooling, documentation, and AI-assisted development workflows. The role also requires strong cross-functional communication, effective management of ambiguity, and leadership in adopting agentic software development practices.

Lead the design and delivery of production-grade AI agents and automation workflows. Translate ambiguous business processes into reliable software, integrate agents with systems of record using MCP, and establish architecture, evaluation, monitoring, safety, auditability, human review, and rollback practices. Partner with data and business teams, drive reusable technical patterns, mentor engineers, and document systems for sustainable operation.

Leads technical direction for high-visibility, cross-organizational software initiatives. Designs and evolves scalable merchandising APIs and services, develops internal platforms and tooling, and delivers reliable full-stack solutions using React, Node.js, and TypeScript. Mentors engineers, conducts code reviews, influences architecture, and collaborates across engineering, marketing, and product teams. The role also involves distributed systems, cloud infrastructure, CI/CD, container orchestration, experimentation, analytics, and potentially open-source contributions.

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 and operate reliable software that automates healthcare processes such as benefit verification and prior authorization. Lead complex product initiatives from discovery through launch, contributing across backend services, interfaces, data models, integrations, and AI-powered workflows. Own technical direction, architecture, testing, observability, safe rollouts, and shared services while partnering with Product, AI, Operations, and users. Mentor engineers and develop AI-native tools and processes.

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.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, usefulness, and trustworthiness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development workflows. This is a flexible, remote contract role focused on evaluation rather than production coding.

Design, develop, and maintain high-performance consumer-facing web applications using React, TypeScript, and JavaScript. Lead frontend architecture, performance optimization, accessibility, reusable component development, API integration, experimentation, production troubleshooting, and CI/CD support. Collaborate with Product, Design, QA, Platform, and Architecture teams while mentoring engineers, conducting code reviews, supporting Agile delivery, and improving engineering quality and operational excellence.

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.

Leads platform engineering efforts by designing scalable systems, developing C# and .NET Core services, improving CI/CD pipelines, automating cloud infrastructure, and advancing DevOps, GitOps, and Infrastructure as Code practices. Mentors engineers, drives technical initiatives, troubleshoots complex issues, supports on-call operations, and improves platform reliability, performance, and deployment efficiency using Kubernetes and cloud platforms.

Develop and maintain automated unit, integration, and end-to-end test frameworks for scalable virtualized server platforms. Define test strategies, performance quality gates, deployment validation, rollback verification, and test plans for microservices. Investigate deployment issues, troubleshoot root causes, collaborate with engineering teams on integration testing, improve test environments, and automate platform service deployments using scripting and CI/CD tools.

Design, develop, debug, and improve Elastic’s cloud control plane and hosted offerings. Provide technical leadership, guide cross-team architecture, establish development best practices, create technical plans, prioritize features and fixes, and collaborate globally with Support and Elasticsearch engineering teams to deliver reliable, scalable SaaS foundations.

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 development of scalable cybersecurity products across frontend, backend, platform, and data infrastructure. Drives architecture, data pipelines, Kubernetes services, observability, API security, CI/CD, and cloud operations. Mentors engineers, leads cross-functional projects, aligns technical solutions with business goals, and evaluates responsible AI-assisted development practices. Requires extensive software engineering experience and expertise in React, TypeScript, Node.js, AWS, streaming systems, databases, distributed processing, and secure application design.

Own the technical direction and delivery of WEX’s data acquisition platform. Build reusable, high-performance batch, CDC, and streaming ingestion services with schema validation, reconciliation, recovery, lineage, security, observability, and auditability. Lead architecture and code reviews, establish testing and CI/CD practices, mentor engineers, resolve cross-team dependencies, and support production escalations. The role requires hands-on development of scalable distributed systems and configuration-driven connectors.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Design, build, operate, and maintain Grafana’s distributed search and storage systems. Drive projects from ideation through customer delivery, own system reliability and performance, participate in on-call rotations, contribute to open-source projects, and collaborate on technical design. The role also involves mentoring teammates, learning a large cloud-based codebase, and improving services based on customer feedback.

Lead end-to-end technical ownership for an e-commerce platform service area. Design, build, and ship production features; modernize legacy systems; establish architecture and engineering standards; optimize platform performance; plan roadmaps and sprint priorities; mentor engineers; improve developer productivity; and contribute to hiring. The role requires hands-on TypeScript, JavaScript, React, Node.js, AWS, Python, and Django experience in a remote United States or Canada environment.

Build and maintain scalable, cloud-native APIs and core marketplace systems. Lead software architecture and testing discussions, collaborate across teams, and improve application reliability, performance, telemetry, and operational health. The role uses .NET Core and related technology stacks, front-end JavaScript frameworks, Kubernetes, AWS, PostgreSQL, OpenTelemetry, and AI development tools.