Top AWS Jobs in Vancouver

Design and build scalable .NET backend services and gRPC microservices; optimize data layers (SQL Server, MongoDB, Elasticsearch); implement cloud integrations on AWS and Azure; ship AI/ML features (LLMs, RAG, vector search, ranking, personalization) and operate MCP servers; contribute to CI/CD, observability, containerization, and production ML integrations impacting high-traffic consumer marketplaces.

Architect and maintain scalable, secure systems; champion best practices (OO, DDD, microservices); drive code quality, secure SDLC, and data-driven solutions; mentor teams; leverage AI to improve developer workflows; work with analytics and data warehouse tooling.

The Build Engineer will manage CI/CD systems, automate game build processes, optimize workflows, and collaborate with game teams, focusing on efficiency and quality.

Design, maintain, and optimize Unreal Engine build pipelines and CI/CD tooling; manage and secure cloud (AWS/Azure/GCP) and on-prem infrastructure; implement automation, monitoring, and release workflows; provide on-call incident response and cross-team DevOps guidance; champion best practices.

Lead the end-to-end technical design of the Customer Experience Platform, overseeing engineers, and ensuring high uptime and scalability while integrating AI components.

As a Solution Specialist II, you'll design and support infrastructure systems in a multi-cloud environment, focusing on automation, security, and infrastructure innovation.

Build and evolve CG Admin, a mission-critical internal platform for insurance configuration. Design and implement full-stack features, own complex areas end-to-end, integrate AI coding tools and agentic workflows, ensure reliability and observability, drive technical quality, and mentor engineers to adopt AI-first development practices.

Design, build, and deploy scalable AI features using LLMs, knowledge graphs, and orchestration frameworks. Integrate models into enterprise products, optimize performance and latency, and manage model lifecycle, observability, and cloud-native deployments. Collaborate cross-functionally, lead engineering workstreams, and maintain high quality, secure production services.

Build and scale production AI systems, APIs, data pipelines, retrieval systems, and model-serving infrastructure for consumer and clinician-facing health products. Integrate and fine-tune LLMs and other models, manage AI feature lifecycles from prototyping through monitoring, and ensure reliability and observability. Collaborate with engineering, product, and science teams. More senior candidates may lead AI architecture, roadmap development, and mentoring.

Build and maintain backend services, REST APIs, databases, customer-facing products, internal tools, and data platforms. Improve database architecture, performance, reliability, scaling, and migrations. Contribute to full-stack development, AWS infrastructure, serverless systems, CI/CD, deployments, monitoring, and architectural decisions while collaborating with product, design, and leadership.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Build and evolve product features across backend and frontend technologies. Collaborate with Product and Design teams to improve user experiences and take ownership of features in production.

The Cybersecurity Engineer will design and implement security infrastructure, manage vulnerability processes, lead incident responses, and collaborate across teams in a fintech environment, focusing on AWS security.

Designs and implements security controls across cloud platforms, operating systems, Kubernetes, networks, and CI/CD. Audits infrastructure for vulnerabilities, develops security and privacy improvements, performs threat modeling, and drives remediation. The role includes software development, infrastructure security analysis, and serving as an infrastructure-level subject matter expert during security incidents.

Develop and maintain secure, scalable Java backend applications and integrations. Design RESTful services, troubleshoot production issues, improve performance and reliability, apply secure coding practices, and collaborate with UI and business stakeholders. The role includes monitoring systems, conducting code reviews, supporting incident postmortems, and mentoring junior developers within an Agile engineering team. This is a hybrid position based in Etobicoke, Ontario, requiring two office days per week.

Design, build, test, refactor, and maintain production Rails software using Rails, Bootstrap, Stimulus, and Postgres. Own a defined codebase area, design data models, review code, maintain disciplined testing, collaborate with product managers, and mentor 1–3 junior engineers. Contribute in a fast-moving startup environment, evaluate third-party tools and APIs, and use AI development tools such as Claude Code or Codex.

Owns full-stack engineering, cloud infrastructure, reliability, cost governance, legacy-to-cloud migration, and AI-assisted development for a multi-tenant ERP platform. Leads engineering, QA, contractors, release governance, customer go-lives, vendor evaluation, and executive reporting. The role requires deep TypeScript/Node and React expertise, financial-system correctness, Azure or AWS architecture, ETL and data reconciliation, CI/CD, incident response, SaaS security, and pragmatic maintenance of Java/Spring and VB6 legacy systems.

Source and recruit technical and non-technical talent globally, build pipelines for high-priority roles, conduct personalized outbound campaigns, and partner with hiring managers through offer closure. The role requires strong Boolean, X-Ray, GitHub, and passive-candidate sourcing skills, along with recruiting analytics, AI and automation use, coordination, and independent management of multiple hiring priorities.

Build and deploy AI-powered automations across the business. Partner with teams to identify opportunities, redesign processes, integrate systems through APIs, and launch scalable workflows using LLMs, agents, and automation platforms. Document solutions, establish safeguards, enable adoption, and measure efficiency gains. The role requires strong ownership, responsible AI practices, business understanding, and hands-on experience with AI development, APIs, Python or similar languages, SQL, databases, and modern deployment tools.

Lead technical engagements with high-priority enterprise customers, supporting container and AI journeys, developer workflows, solution demonstrations, prototyping, enablement, and product alignment. Partner with sales, product, engineering, and customer teams to translate business needs into technical solutions and prioritized product feedback. Serve as a regional technical thought leader and represent Docker with customers and technical alliance partners. Travel domestically and internationally up to 50%.

Design, develop, test, deploy, and operate scalable Java backend services, APIs, microservices, databases, and event-driven systems. Own projects across the software lifecycle, collaborate with product and infrastructure stakeholders, conduct code reviews, and build testing and observability. Troubleshoot production issues, participate in incident response, and improve system reliability, performance, scalability, and maintainability.

Designs and optimizes scalable cloud infrastructure, CI/CD pipelines, and infrastructure-as-code systems. Automates provisioning, configuration, and software delivery across environments while improving reliability, observability, incident response, performance, and security. Collaborates with Software Engineering, Security, SRE, and Product teams to maintain highly available infrastructure and ensure compliance with organizational standards.

Design and implement pixel-perfect front-end features for a SaaS platform. Influence frontend framework choices, collaborate with UI/UX and backend teams, mentor developers, and ensure testable, scalable JavaScript code integrating with REST APIs and microservices.

Build and operate AWS serverless platform services that productionize AI/LLM capabilities. Design, implement, deploy, and monitor secure, scalable services, collaborate with AI researchers, maintain CI/CD and observability, and use AI-assisted development tools responsibly.

Designs and maintains scalable cloud and on-premise infrastructure, Infrastructure as Code, Kubernetes environments, CI/CD pipelines, data streaming, caching, observability, and incident response systems. The role owns AWS reliability and cost efficiency, supports progressive deployments, troubleshoots complex production issues, partners with software teams, and drives automation and continuous improvement across platform operations.