Top AWS Jobs in Vancouver

Oversee engineering execution and organizational effectiveness for software development teams, ensuring quality delivery and alignment with product strategy while integrating AI-assisted practices.

As a Senior Fullstack Engineer, you will develop backend features using PHP, build frontend experiences with React and Vue, and lead technical discussions while contributing to microservices migration and ensuring platform performance.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Principal Engineer will architect and own the Shop Builder platform, defining APIs, developing tools for developers and AI agents, and ensuring the platform's technical standards and documentation are met.

Lead a team to deliver tools and API solutions for the Shop Builder platform. Coordinate cross-team dependencies and maintain engineering standards while actively contributing code and driving technical decisions.

Senior SRE focused on building cloud-native platforms, testable automation, and reliability tooling. Partner with Identity and Security to strengthen authentication/authorization, Okta integrations, and compliance. Design tests, write maintainable code (Go/Python), and improve observability and operational practices.

Support and troubleshoot enterprise billing platform across Salesforce, Zuora, AWS and Workday Financials. Monitor systems, resolve incidents and data discrepancies, participate in on-call rotations, collaborate with Engineering/Product/Finance, maintain runbooks, and improve monitoring and SOX-compliant operational controls.

Owned territory enterprise sales: build pipeline from inbound/outbound, articulate value prop, manage opportunities in CRM, forecast and exceed quota, collaborate with product/support/SE, and engage customers to close deals.

Work with founders, product, and design to define and build new products and features. Lead development, architect data models and interfaces, ensure code stability, performance, and correctness, and build internal tools to increase engineering productivity and leverage.

Design and deliver LLM-powered AI features and agentic workflows for a federal web workflow application: build RAG pipelines, integrate AI/LLM APIs, implement prompt-engineering and orchestration frameworks, ensure observability and responsible AI guardrails, maintain full‑stack systems, and participate in CI/CD and security compliance.

Maintain availability, monitoring, and incident response for BeyondTrust Cloud Service. Troubleshoot distributed systems, implement fixes and preventive measures, collaborate across teams to meet SLAs, document work, follow risk/compliance, and drive automation and continuous improvement.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

Build and scale the internal development platform: create tools, services, and automation (CI/CD, canaries, feature flags, access workflows). Work with Pulumi/Python IaC for k8s, enable self-serve developer experience, lead AI tool adoption, participate in on-call, code and design reviews, and deliver major platform initiatives to help engineers ship safely and quickly.

Proactively explore RevenueCat's data to identify product opportunities, translate ambiguous problems into analyses and production-grade predictive/descriptive models, partner with Product and Engineering to ship data-powered features (LTV prediction, experimentation, benchmarking), define statistical approaches, iterate on models in production, and communicate insights to technical and non-technical audiences.

Design, build, ship, and own end-to-end product features across frontend, backend, and data. Translate ambiguous product requirements into reliable, well-tested systems; deploy, monitor, and maintain production services; participate in design and architecture, code reviews, and mentor peers while working closely with product and design teams.

Design and lead frontend architecture and development for scalable, secure web UIs that integrate with embedded systems and cloud platforms. Build device provisioning, telemetry visualization, and remote management interfaces; optimize performance and accessibility; mentor engineers; collaborate across backend, hardware, and systems teams to deliver end-to-end solutions.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Design, build, and deploy scalable ML models and pipelines to enhance a talent marketplace and GenAI solutions. Lead experimentation (A/B tests, statistical validation), improve production ML performance, ensure code and data quality, work with cross-functional teams, mentor junior engineers, and propose innovative AI-driven solutions aligned to business goals.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Lead global network and connectivity strategy and operations across LAN/WAN/cloud for a regulated biotech. Own architecture, resilience, observability, vendor governance, service levels, and build a global connectivity organization to enable secure, scalable, high‑availability services.

Lead strategic architecture for front-office investment technology and data solutions, advising on platform selection and implementation (Aladdin, Charles River, Bloomberg, etc.), guiding data architecture, governance and quality, managing small-to-medium implementation teams, and ensuring delivery across portfolio management, trading, and reporting domains.

Lead design and delivery of AI solutions (RAG and agentic architectures) for asset and wealth management clients. Architect retrieval pipelines, semantic models, GraphRAG, and cloud integrations. Manage project planning, governance, budgets, technical handover, and mentor development teams while promoting best practices and responsible AI.

The role involves designing and building event-driven data services on AWS, focusing on real-time streaming, microservices, and integration with various AWS data services, ensuring scalability and quality.