Top AWS Jobs in Vancouver

Industry Expert who reviews and defends advanced AI, ML, distributed systems, and forward-deployed engineering projects. Responsibilities include challenging architecture decisions, chairing mock review boards and executive presentations, hosting one or two technical sessions monthly, and serving as the escalation point for instructors. The role requires production-scale engineering judgment, strong technical communication, and expertise in agentic systems, LLM evaluation, infrastructure, observability, model serving, RAG, or enterprise deployments.

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Own and scale Nango’s cloud platform, including compute, networking, databases, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, improve provisioning and observability, establish SLOs and incident processes, and manage Postgres, Redis, Elasticsearch, and ClickHouse at scale. Drive infrastructure security and compliance for SOC 2, GDPR, HIPAA, and enterprise reviews while shaping product strategy and supporting a remote-first engineering team.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Le directeur ou la directrice dirigera la stratégie, la feuille de route et l’équipe de gestion de produits axées sur la croissance des vendeurs et des marchands. La personne optimisera la distribution, la découverte, la conversion et les ventes sur des plateformes de marché et d’infonuagique, établira des partenariats stratégiques et mobilisera les équipes d’ingénierie, de ventes, de marketing, de finance et de réussite client. Le rôle exige une solide expérience commerciale, du leadership produit et une expertise des écosystèmes technologiques.

Design and implement cloud infrastructure and MLOps solutions for customers using GPU cloud technologies. Advise clients, conduct proofs of concept, workshops, presentations, and training; develop infrastructure-as-code architectures and documentation; optimize ML pipeline performance and scalability; support product and technical teams with customer expertise; and assist with technical marketing events.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Design, implement, and deploy ML models and policies for robotic perception, manipulation, and planning. Collaborate with researchers and engineers to integrate, test, and optimize production-grade ML systems on real robotic platforms, mentor junior team members, and validate model robustness.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, data ingestion, APIs, security research, and machine learning initiatives. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, and cloud or on-premises services; productionizing prototypes; collaborating with engineering, product, machine learning, and security teams; and maintaining reliable, observable systems.

Design and implement enterprise contact center transformations using Amazon Connect, generative AI (Bedrock/Claude), serverless backends, and full-stack React tooling. Build contact flows, AI agents, CDK infrastructure, observability, CI/CD and migration solutions; collaborate with customers, mentor engineers, and ensure production reliability, security, and accessibility.

Designs and develops enterprise cloud data solutions, including batch, near-real-time, and API-based pipelines. Builds data models, warehouses, lakes, and lakehouses while implementing governance, quality, lineage, and curation practices. Supports CI/CD, testing, monitoring, observability, security, and compliance. Collaborates with architects, product owners, analysts, and leadership on platform strategy and modernization. Mentors engineers, leads reviews, presents technical topics, and explores AI-enabled data capabilities.

Design, build, and own end-to-end 3D asset pipelines and tooling for a multi-sensor simulation stack. Architect formats, storage, validation, packaging, and serving for meshes, neural representations, and generative outputs. Create visualization and curation tools at scale, integrate neural rendering and generative research into production, and collaborate with autonomy and safety teams to meet realism and coverage requirements.

Train and operate production machine learning models on Amazon SageMaker using AWS Trainium. Optimize PyTorch code for Trainium compilation, memory, throughput, and distributed training; diagnose hardware, compiler, device, data, and code issues; build cost-aware end-to-end training pipelines; and collaborate directly with client and internal engineering teams to deliver production workloads.

Lead the architecture, development, and delivery of scalable backend systems, APIs, data pipelines, and services supporting global 3D and computer vision applications. Drive technical direction, system performance, resiliency, observability, and maintainability. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and team growth, and shape engineering culture and long-term technical vision.

Join Fortinets FortiGuard IoC team to build and deploy ML models and AI tools for threat detection, adversarial ML defenses, and automation. Work with data scientists, DevOps, and SOC analysts to integrate LLMs, wrap models as APIs, develop agentic workflows, and produce IoCs to improve detection and response.

Lead testing and release activities for FortiClient endpoint products across platforms. Create and run manual and automated test cases, write automation scripts, document defects, collaborate with developers, and produce release notes and user documentation.

Owner of QA for FortiClient areas, executing manual and automated tests across cloud and on-prem, building and maintaining test automation and QA lab, troubleshooting mission-critical services, monitoring performance metrics, collaborating with R&D, release QA, operations and support, and participating in customer troubleshooting calls.

Lead QA for SaaS product features (Cloud WAF, GLSB, ABP). Design and execute functional tests, develop and maintain automation, collaborate with developers and support to resolve defects, and review documentation.

Test and validate end-to-end functionality of the FortiSASE cloud security solution using manual and automated techniques. Build E2E automation frameworks, maintain test infrastructure, diagnose production and staging issues, document defects, and collaborate with developers to improve reliability, usability, and performance.

The DevOps Engineer will design, build, and enhance cloud and automation platforms, collaborating with development teams to implement secure and scalable DevOps solutions.

Lead FedRAMP Moderate compliance program from gap assessment through remediation and continuous monitoring. Coordinate Engineering, DevSecOps, Security, and Compliance to implement NIST 800-53 controls, maintain SSPs and POA&Ms, work with 3PAOs and federal sponsors, and align cloud architecture and security controls across AWS/Azure/GCP. Drive documentation, vulnerability management, incident response, stakeholder reporting, and governance.

Lead design and implementation of scalable, secure Forma Data cloud services. Act as technical lead across full software lifecycle, write and operate cloud services, mentor engineers, solve complex distributed-system problems, and collaborate globally to integrate SaaS products with Autodesk tools.

Lead full‑stack architecture and technical vision for enterprise systems while architecting and orchestrating agentic, AI-native delivery. Design APIs, services, data pipelines, cloud infrastructure, and integrations with LLMs, RAG, vector stores, and composable platforms. Mentor engineers, drive spec-driven agent workflows, and collaborate with cross-functional stakeholders to deliver production-ready, scalable solutions.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.