Top AWS Jobs in Vancouver

As a Staff Software Engineer, you will lead technical strategies, drive architectural decisions, mentor engineers, and develop consumer banking solutions using various technologies.

Lead delivery of ML feature platform initiatives: design, build, and operate backend systems for feature creation, storage, backfilling and serving. Collaborate with product, design, and analytics, own quarterly goals, improve platform reliability and code quality, mentor engineers, and support on-call and operational monitoring.

Lead and deliver your team's quarterly goals, guide engineers through ambiguous problems, and collaborate with product, design, and analytics. Identify and resolve technical, process, and operational issues, support availability and on-call, enforce code and design quality, and mentor team members to grow talent and maintain high engineering standards.

Design and build production-grade ML systems for LLM-powered agents: implement RAG pipelines, orchestration, deployment, monitoring, and continuous improvement at scale while partnering with product, software, and data teams.

Build, architect, and own moderate-to-complex backend components; lead small teams or projects; provide technical guidance and code reviews; deliver end-to-end backend services focused on AI-enabled customer data insights, onboarding, messaging/calling features, and scalable data management for a growing user base.

Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.

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.

Design and build internal developer tooling, automations, and integrations to improve developer workflows (local dev, code review, testing, CI/CD, releases). Instrument toolchains for engineering metrics, build shared templates/plugins/CLIs, integrate AI-assisted development tools, and partner with teams to remove bottlenecks and define scalable best practices across the SDLC.

As a Senior Software Engineer, you'll design and maintain solutions for partners, leveraging AI tools, collaborating across teams, and ensuring production reliability.

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.

The Staff Engineer will lead the design and modernization of backend services, ensuring API best practices, reliability, and security for patient communication platforms, alongside mentoring engineering teams.

As a Machine Learning Engineer, you will develop user experiences using LLMs and predictive analysis, deliver ML solutions, and ensure continuous improvement in AI products at scale.

Lead end-to-end delivery of complex, cross-functional programs across hardware, firmware, embedded software, cloud, mobile, and AI/video analytics. Translate strategy into technical milestones, mitigate risks, drive architectural decisions, communicate program health to executives, and improve engineering processes and delivery models.

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.

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.

Plan and execute IVVQ (integration, verification, validation, qualification) activities for a data security product. Create test strategy/plans, design and maintain automated UI/API/integration tests, integrate tests into CI/CD, manage test resources, reduce flaky tests, support integration/fix cycles, and represent IVV in final system acceptance testing.

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.

Own and deliver high-availability, low-latency Trust & Safety systems across backend, web, and mobile. Lead engineering delivery, collaborate with product/design/analytics, improve operational metrics and on-call reliability, set code and design standards, and mentor teammates.

As a Senior Software Engineer, you will lead and support backend system projects focusing on security within Kubernetes and cloud infrastructure.

You will lead engineers to meet quarterly goals, support product development, solve complex issues, and foster talent development in your team.