Top AWS Jobs in Vancouver

Architect, build, and deploy agentic and multi-modal AI systems for biopharma and healthcare. Lead end-to-end development, cloud deployments (AWS), Kubernetes-based backend services, model serving, data pipelines, CI/CD/DevOps, and mentor junior engineers while collaborating with researchers and product teams.

Design, build, and optimize scalable backend systems and APIs; collaborate on architecture; troubleshoot production issues; lead code reviews; mentor junior engineers; improve reliability, performance, and security of the platform.

The Senior Data Engineer is responsible for architecting and delivering scalable data infrastructure and pipelines while collaborating across teams, integrating AI capabilities, and mentoring other engineers.

Lead product management for dynamic ad formats and templates, improving usability for advertisers and publishers by collaborating across design and development teams.

Build and operate Airbnb's global cloud networking infrastructure including service mesh, cross-region gateways, load balancers, and edge security. Work with open-source communities (k8s, Istio), design multi-region cloud network architectures, develop operational tooling, and collaborate with product, engineering, and security teams to optimize network performance and reliability.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

Design and lead enterprise graph database and semantic data architectures, define ontologies and knowledge graph structures, integrate graph systems with cloud platforms, support LLM and AI use cases, run discovery workshops, document architecture, and mentor engineering teams.

Build and maintain backend systems focused on infrastructure, performance, and customer needs. Design microservices and APIs, scale SQL/NoSQL data platforms, use cloud/serverless managed services, implement CI/CD, and collaborate with product and customer teams to deliver performant, customer-centric features and resolve technical issues.

Design, build, and maintain AI-powered applications and services focused on agentic AI and LLM workflows. Work includes model training, fine-tuning, evaluation, serving, data pipelines, testing, cloud deployment (AWS preferred), and collaborating with cross-functional teams to productionize scalable, secure, and performant AI solutions.

Build, operate, and own high-scale backend services focused on networking, performance, reliability, and security. Design systems, implement features, troubleshoot protocol-level networking issues, write maintainable tests, and collaborate across teams.

Lead contract review, redlining, negotiation and signature for commercial agreements (NDAs, MSAs, SOWs, software purchasing). Manage contract data and systems, advise leadership on legal risks, support cross-functional teams, improve processes, and assess appropriate use of AI in contract workflows. Work across US and Canada engagements and support global commercial operations.

Sell Akamai solutions to new major accounts in Canada, build C-level relationships, develop strategic sales plans, manage channel/reseller partnerships, drive high-volume pipeline, and negotiate contracts to ensure customer adoption and satisfaction.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.

Lead and facilitate Scrum ceremonies, coach teams on agile practices, coordinate migrations with application owners, manage risks and dependencies, maintain Jira artifacts and sprint reporting to enable predictable delivery.

Lead technical pre-sales for enterprise contact-centre AI deals: perform discovery and architecture assessments, design solutions, run demos and POCs, author RFP/RFI technical responses, engage technical stakeholders, and ensure delivery readiness and competitive positioning across assigned region.

Lead end-to-end data engineering projects for a Canadian financial institution, liaise with stakeholders to gather requirements, provide technical leadership and architecture guidance, ensure delivery quality and documentation, and work independently to identify and resolve blockers.

Lead end-to-end delivery of enterprise data platform initiatives, partner with stakeholders to define requirements, own quality and documentation, mentor peers, drive technical decisions, and represent engineering in cross-functional discussions for regulated environments.

Design, administer, and optimize Postgres databases on cloud-native platforms. Triage and remediate production database incidents, manage replication/backups, evaluate schemas and queries for performance, and build repeatable DB architecture using IaC and GitOps for AWS/GCP Kubernetes environments.

As a Full Stack Product Engineer, you will design and deliver features, collaborating with product teams while taking ownership of projects and ensuring system performance and maintainability.

As a Senior Software Engineer, you will develop high-quality software applications, mentor teams, and drive project deliveries while collaborating with various stakeholders.

Lead architecture and implement critical Java platform components for a cloud-native, AI-enabled SaaS. Drive system design, cross-service features, observability, deployments, and apply agentic AI tools to accelerate engineering while ensuring quality and maintainability.

The Systems Engineer will design, build, and maintain AWS infrastructure, enhance CI/CD pipelines, and mentor team members while focusing on cloud optimization and automation.

The Decision Science Analyst will support data-driven projects, conduct statistical experiments, automate workflows using SQL and Python, and develop insights and dashboards for business improvement.