Top Software Engineer Jobs in Vancouver

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.

Build and operate backend infrastructure and APIs for stablecoin-based payments, deposits, withdrawals, and transfers. Own projects from system design through production, improve distributed-system performance and reliability, collaborate with Product, Design, Infrastructure, and Compliance, and contribute to engineering quality through reviews and architectural best practices. The role requires blockchain integration experience and responsible use of generative AI.

Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.

Develop AI/ML strategy and production software for a healthcare data platform. Design architectures, implement semantic matching, RAG, document parsing, agentic systems, knowledge graphs, and evaluation workflows. Write clean, tested, documented code; conduct reviews and pair programming; collaborate with clients and product teams; mentor developers; and contribute to technical strategy and Agile delivery.

Designs and maintains automated and manual testing strategies, test suites, and test plans. Identifies and tracks defects, performs API, load, and performance testing, and contributes to feature development and bug fixes. Provides testing guidance, participates in code reviews and planning, supports release quality decisions, and promotes software quality across cross-functional teams.

Develop and maintain scalable full-stack software for an enterprise governance platform. Responsibilities include architecture, system design, AI-assisted development, performance optimization, security, testing, code reviews, technical problem-solving, process improvement, evaluation of LLM and automated-testing technologies, and mentoring engineers. The role requires production AI experience, MEAN stack expertise, cloud infrastructure knowledge, and collaboration with product and design teams.

Develop and maintain Python-based automated testing frameworks for APIs, UIs, distributed, embedded, real-time, and performance systems. Integrate testing into CI/CD pipelines, troubleshoot failures, improve legacy automation, and create quality documentation supporting compliance and product validation. Collaborate with development, DevOps, systems engineering, and QA teams, while leading reviews, mentoring junior SDETs, guiding process improvements, and ensuring alignment with defense, naval, and safety-critical standards.

Designs, develops, and deploys scalable production AI features and shared services. Builds backend APIs integrating LLMs, RAG, AI agents, machine learning, deep learning, and computer vision. Applies AI-native engineering and agentic SDLC practices, including coding agents, specification-driven development, automation, testing, and monitoring. Collaborates across product and engineering teams, contributes to architecture and technical decisions, mentors engineers, and improves AI reliability, performance, security, and cost efficiency.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

Lead technical strategy and architecture for a backend search team building highly available distributed systems, recommendations, and discovery experiences. Partner with product, design, and analytics; establish engineering standards, operational processes, monitoring, testing, and on-call practices. Drive major technical initiatives, mentor engineers, communicate technical direction, and support scalable consumer and merchant experiences.

Build and operate database and storage platform software, including services, APIs, and developer tools for provisioning, migrations, upgrades, and lifecycle management. Solve scaling, performance, reliability, and data correctness challenges across databases, distributed systems, cloud infrastructure, and networking. Partner with engineering teams on schemas and platform adoption, lead technical projects through rollout, participate in on-call response, and use AI-assisted tools in development.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and on-call support. The role also involves technical leadership, roadmap ownership, code quality standards, mentoring, and cross-functional collaboration.

Build and maintain Tempo’s cloud platform infrastructure, shared libraries, cross-service APIs, and core platform services. Drive architecture and technical standards, improve developer tooling and experience, ensure reliability and security, and collaborate across teams. The role requires expertise in Java or Kotlin, distributed systems, Kubernetes, Docker, AWS, databases, messaging, observability, and multiple programming languages. It also includes mentoring engineers, reviewing code, and leading initiatives spanning multiple teams.

Build and deploy AI-powered solutions for clients by scoping ambiguous problems, designing LLM workflows, integrating data and retrieval systems, and creating scalable production tooling. Collaborate with technical and non-technical stakeholders, iterate based on operator feedback, optimize workflows, and support customer deployments. The role requires strong Python and software or ML engineering skills, production deployment experience, communication abilities, customer on-call availability, travel as needed, and hybrid office attendance.

Design, scale, and operate business-critical services for player registration, authentication, identity verification, fraud and AML screening, compliance, responsible gaming, and communications. The role involves API and database performance tuning, architecture, integrations, monitoring, production reliability, data migrations, technical documentation, and mentoring engineers. Work includes supporting regulated, high-throughput systems using containers, asynchronous infrastructure, relational databases, and third-party providers in an agile environment.

Leads Java backend development for scalable microservices, APIs, event-driven systems, and integrations. Provides technical leadership, architecture guidance, mentoring, code reviews, incident management, and modernization support. Builds secure, observable, highly available services using Kafka, cloud infrastructure, CI/CD, automated testing, and DevOps practices. Partners across Engineering, Analytics, Product, and Architecture to govern APIs, manage event contracts, reduce technical debt, and support high-volume transaction platforms.

Build production AI harness systems for Kinaxis’s Databricks-based enterprise Data Fabric. Responsibilities include developing agent execution frameworks, integrating LLMs with governed data, implementing tool calling and workflow controls, enforcing multi-tenant isolation, and delivering APIs, SDKs, libraries, templates, and operational runbooks. The role requires distributed-systems engineering, cloud data-platform experience, secure multi-tenant design, and practical expertise in agent orchestration, retrieval, evaluation, guardrails, metadata, lineage, and governance.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Leads test framework architecture and continuous execution pipelines for cloud platform features. Defines quality engineering standards, advances automation roadmaps, tests highly available Kubernetes and containerized services, and improves continuous delivery stability and release confidence. The role also mentors junior engineers and partners with developers, product stakeholders, and engineering leadership.

Develop and maintain automated tests, testing frameworks, and CI/CD pipelines for cloud-native Kubernetes platforms. Validate scalable architectures, troubleshoot automated test failures, collaborate with engineering teams in Agile environments, and help establish testing best practices. The role requires Python and Pytest automation experience, Kubernetes and cloud-native production service testing, Linux and networking knowledge, security principles, and two years of relevant experience.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

Lead architecture and hands-on development for a cloud-native data enrichment service. Design scalable, reliable, and high-performing solutions; establish engineering patterns, tooling, and infrastructure practices; and guide modernization efforts. Collaborate with engineering, product, and UX stakeholders, mentor senior developers, communicate technical tradeoffs, and drive adoption of effective practices across teams.

Lead the architecture and implementation of scalable, maintainable software components for an AI manufacturing platform. Develop automated testing strategies, benchmark system performance, identify bottlenecks, propose optimizations, and collaborate cross-functionally on feature integration. The role also involves debugging, cloud infrastructure, DevOps practices, containerization, and frontend framework collaboration.

Lead a portfolio company’s software engineering function by writing production code, modernizing its software development lifecycle, coaching engineers, setting the product roadmap with the GM, and implementing AI-enabled development and product capabilities. The role requires rapidly adapting to varied technology stacks, improving legacy systems without rewrites, and operating independently while collaborating directly with operators and customers.

Lead full-stack platform architecture and development across React, Node.js, and PHP. Improve scalability, performance, APIs, databases, CI/CD, cloud infrastructure, testing, SEO, and payment workflows for an eCommerce platform. Own the design system, conduct final code reviews, establish engineering standards, mentor engineers, and contribute hands-on to complex software development.