Top AWS Jobs in Vancouver

The Frontend Engineer will build web interfaces for a healthcare APIs clearinghouse while collaborating across teams to ensure high-quality, responsive design and functionality.

The Cloud Software Engineer will design distributed systems for observability, ensuring reliability and performance, while automating operational work and collaborating with teams.

The role involves leading full-stack architecture decisions, building scalable systems, optimizing performance, and mentoring developers, while driving platform strategies.

Lead and mentor engineering teams to deliver high-quality, AI-driven software, ensuring accountability and continuous improvement in development processes.

Lead and mentor a team building Affinity's Relationship Intelligence engine—a high-scale platform ingesting and processing billions of interactions. Define technical roadmap, drive architecture and product decisions, run Agile processes, contribute hands-on to feature development, and hire and grow engineers to deliver reliable, data-intensive SaaS experiences and visualizations.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

Founding full-stack engineer to architect and build a production platform combining large-scale data systems and AI-native agents. Work across backend, frontend, data pipelines, agents, and deployment systems; define architecture, devops, CI/CD, and early engineering processes while shipping features and growing the team.

Build full-stack product features, prototype AI-enabled functionality, work directly with customers to define workflows, own projects from discovery to launch, design scalable systems and APIs, and improve reliability and developer experience.

Design and build end-to-end, enterprise-grade systems that enable AI agents to initiate and complete finance workflows. Own features across backend and frontend, integrate AI/ML models into auditable production systems, ensure scale, security, and reliability, and collaborate with product and customers to solve accounting problems.

Senior backend engineer will design and implement features, optimize platform performance and scale, write performant Java code, own architecture decisions, and collaborate on data-intensive systems including search and LLM-related components.

As a Staff Software Engineer, you'll architect and build foundational platform services, focusing on data infrastructure, healthcare interoperability, and secure APIs while mentoring other engineers.

Operate, maintain and improve the global Tyk Cloud platform: run production Kubernetes clusters, manage cloud infrastructure, automate operations, run on-call incident response, create monitoring and dashboards, conduct post-incident analysis, document SRE processes, and drive reliability, efficiency and multi-region/multi-cloud expansion.

The Business Solution Architect leads the design and delivery of telecom solutions, bridging business needs and technical implementation while supporting digital transformation initiatives and guiding teams on architecture and integration.

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

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.

The Java Back-End Developer will build and maintain backend applications, ensuring system reliability, collaborating with teams, conducting code reviews, and mentoring juniors.

The Principal Application Scientist at Dotmatics will provide technical leadership and consult customers on SaaS solutions, focusing on data integration and architecture in scientific environments.

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

Lead AI strategy engagements, manage complex client relationships, drive discovery, and deliver actionable plans to increase business effectiveness with AI solutions.

Lead applied research and system development for spatial intelligence across drawings, BIM, and site data. Design, train, and deploy ML models for constructability, clash detection, and risk identification. Build proprietary datasets and ML pipelines, partner with engineering and product teams to productionize research, mentor senior staff, and shape long-term spatial AI strategy.

Manage and grow existing SMB accounts by identifying expansion opportunities, delivering product presentations and demos, following up on marketing/CSM leads, and closing business while providing technical problem-solving and building strong customer relationships.

Own cloud operational health, architecture intelligence, and cost optimization. Analyze cloud spend, build dashboards/reporting, enforce governance, review architecture for cost impact, and translate technical findings for engineering, finance, and executives.

The Full Stack Engineer will design, build, and maintain scalable web applications, impact customer onboarding and integrations, write and review code, and support technical improvements.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.