Top AWS Jobs in Vancouver

Develop technical strategy and integrated solutions for managed service provider partners. Create demos, deliver technical enablement, build partner champions, support deal acceleration, and advise MSPs on packaging and delivering cloud security offerings. Serve as a technical evangelist at partner and industry events while helping establish technical business models around Wiz. Travel may reach 40%.

Build and operate a reliable ML platform for large-scale distributed GPU training. Responsibilities include Kubernetes infrastructure, developer-facing CLIs and SDKs, AWS infrastructure, data and artifact management, experiment tracking, model registries, CI/CD, observability, documentation, security guardrails, and platform adoption. The role partners closely with researchers and engineers to improve training speed, reliability, usability, and cost efficiency for autonomous transportation systems.

Build and deliver end-to-end full stack features for Remitly Business, from React frontends to Go backend services and APIs. Own architecture, reliability, security, and observability for money-movement flows, mentor engineers, collaborate with cross-functional partners, and drive roadmaps and technical standards.

Own and deliver high-availability, low-latency backend systems supporting authentication, verification, and fraud journeys across web and mobile. Lead quarterly goals, guide engineers through ambiguous problems, collaborate with product, design, and analytics, resolve technical and business issues, monitor system availability, improve engineering standards, support on-call operations, and develop team talent.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Design, build, and operate customer-facing AI platform services and agentic workflows primarily in Python. Develop orchestration, tool execution, state management, evaluation, tracing, observability, and quality feedback systems. Integrate AI capabilities with PHP and Java services while optimizing reliability, latency, scalability, cost, and model quality. Collaborate with product, design, data, security, and engineering teams, contributing technical leadership, architecture guidance, code reviews, testing, documentation, and mentorship.

Design and build Samsara’s cloud governance platform, including IAM guardrails, security controls, compliance automation, and software supply-chain security tooling across AWS and GCP. Develop reliable distributed systems, secure CI/CD patterns, and SAST/DAST capabilities. Contribute to technical roadmaps, collaborate across infrastructure, security, compliance, and engineering teams, and communicate design tradeoffs while mentoring teammates through reviews and pairing.

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.

Build and operate end-to-end consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place segment. Use AI tools and agentic workflows extensively, establish AI-native engineering practices, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and ensure performance, reliability, accessibility, and member impact across owned features.

Lead architecture and technical direction for scalable SaaS platform capabilities, including APIs, distributed services, data flows, and AI-enabled features. Establish responsible AI and agentic engineering practices, evaluation and guardrail systems, production-readiness standards, secure-by-design controls, testing, CI/CD, observability, and reliability practices. Drive complex cross-functional initiatives, mentor engineers, conduct architecture and code reviews, and shape technical roadmaps and engineering standards.

Provides expert technical support for complex software issues involving microservices, APIs, integrations, operating systems, cloud platforms, and networking. Resolves escalated cases, collaborates with Engineering and Product, analyzes ticket trends, maintains documentation, and mentors junior engineers. Builds and optimizes Zendesk workflows and support automation using tools such as Superblocks, n8n, Tines, and webhooks to improve operational efficiency and customer satisfaction.

Lead development of secure, scalable digital banking software across front-end and backend systems. Design Angular or React applications, build APIs, optimize SQL performance, integrate third-party platforms, improve code quality, implement testing strategies, and mentor engineers. Collaborate with cross-functional teams in an Agile environment while supporting cloud-native practices, regulatory compliance, and continuous product improvement.

Designs and delivers cloud-based insurance solutions for enterprise clients. Responsibilities include gathering requirements, creating solution architectures, collaborating with product and delivery teams, selecting technology components, supporting implementations, defining roadmaps, and advising clients. The role emphasizes AWS or GCP, scalable and highly available applications, relational and NoSQL databases, APIs, microservices, identity integration, and insurance business processes.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Supports pre-sales opportunities by translating customer requirements into technical solutions, leading demos and technical evaluations, designing permission schemas and proofs of concept, troubleshooting demonstrations, and collaborating with account executives, product, and engineering teams. The role requires backend programming, database, cloud, Kubernetes, API integration, and architecture expertise, plus strong customer communication. Travel is typically 3 to 4 days per month for customer visits and team offsites.

Build and operate Ground News’s data platform, including warehouse integrations, scalable dimensional models, analytical layers, and KPI infrastructure. Own ingestion pipelines, data quality, monitoring, incident response, infrastructure as code, and deployment workflows across AWS and GCP. Partner with analysts, ML engineers, and product stakeholders to create reliable, reusable data models and ensure accurate, observable, cost-effective data systems.

Lead architecture and refactor monolithic systems into scalable distributed platforms. Drive technical solution design, improve CI/CD and TDD practices, mentor engineers, and maintain high-quality software using C#, .NET, React, AWS, and Kubernetes in a hybrid Vancouver team.

Build and scale Geolava’s spatial intelligence products across the frontend and backend. Design APIs, data models, LLM agent workflows, and production services while owning features from concept through deployment, monitoring, and iteration. Collaborate with product, design, research, and engineering teams to solve ambiguous problems, establish engineering standards, and deliver reliable, polished systems for enterprise and government customers.

Build and scale automated infrastructure provisioning across physical data centers and AWS/GCP environments. Develop continuous delivery pipelines for software, servers, and network switches. Manage vendor relationships, procurement, hardware purchasing, and remote workforce setup. Collaborate within a multidisciplinary infrastructure team with shared responsibility for systems and networks. The role requires automation, scripting, systems and network engineering, vendor management, and continuous learning. Familiarity with authentication protocols, Azure Active Directory, and highly available PostgreSQL architectures is desirable.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Own complex, cross-functional software programs from planning through release, coordinating engineering, product, design, QA, platform, and operations teams. Establish program governance, manage dependencies and risks, report to senior leadership, and improve PMO standards. Design reusable AI-powered workflows using tools such as Jira and Confluence, maintain prompt and automation libraries, mentor program managers, and serve as the PMO’s AI thought leader.

Develop and maintain Kubernetes Operators for Camunda’s SaaS platform, supporting customer clusters, cloud infrastructure automation, multi-cloud and multi-region deployments across AWS and GCP. Collaborate across teams to deliver secure, reliable features, improve code quality, participate in on-call and third-level support, and promote automation and operational ownership.

Owns Kubernetes observability, logging, alerting, lifecycle automation, scaling, upgrades, and cost optimization. Partners with engineering teams on infrastructure decisions, resolves reliability issues, participates in on-call rotations, and leads incident response, root-cause analysis, and blameless postmortems. The role requires production-scale Kubernetes, cloud infrastructure, infrastructure as code, GitOps, observability, Linux, networking, and programming expertise.

Leads the development and operation of business-critical enterprise systems and integrations. Manages and coaches developers while remaining hands-on with production code, architecture, technical standards, and delivery. Partners with Finance, Legal, HR, Customer Operations, Security, IT, and Data leaders to translate business needs into durable technical solutions. Oversees cross-functional initiatives, release discipline, infrastructure automation, system risk, roadmap prioritization, and team performance.