Top AWS Jobs in Vancouver

The Senior AI Engineer will design, build, and ship AI-powered product features, integrating LLMs and automating workflows to enhance security insights and user experience.

Lead AI product initiatives from concept to production, define architecture, collaborate with product leadership, and improve AI workflows.

As a Customer Support Developer at Airbyte, you will troubleshoot database issues, support customer integrations, develop database connectors, and collaborate cross-functionally to enhance database reliability and performance.

The Staff Software Engineer role involves leading projects, coordinating engineers, improving processes, and representing PayPal to external partners, focusing on cloud and DevOps responsibilities.

The Product Enablement Engineer will design engaging product experiences through technical content creation, demo environment development, and realistic data simulations, blending cybersecurity, networking, and storytelling expertise.

The Principal Architect for EPM will set the technical vision, design scalable cloud-native services, mentor engineers, and drive architectural decisions to enhance the EPM platform.

Design, implement, and operate cloud and Kubernetes detection and response controls across Azure and AWS. Develop detection-as-code, playbooks, and automations; perform threat hunting, incident triage, and collaborate with engineering and IT teams. Participate in on-call rotations and improve security posture for regulated environments.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform in diverse environments, ensuring scalability and security while collaborating with internal and client teams.

The Connector Software Engineer will design, develop, and maintain software connectors for API and database integrations, focusing on data security and interoperability in enterprise systems.

As an IT Systems Engineer, you'll manage user and device lifecycles, enhance endpoint security, and automate IT workflows, ensuring compliance and improving reliability in a remote tech environment.

As a Senior QA Automation Engineer, you'll design and execute automated tests, maintain test frameworks, and utilize AI tools to enhance testing efficiency while collaborating with product and engineering teams to ensure quality in web applications and APIs.

The role involves owning backend services for go-to-market efforts, building APIs and infrastructure, enhancing code quality, and mentoring engineers.

The Backend Engineer will build a multi-cloud inference platform and manage distributed systems for AI model deployment while ensuring operational excellence and low toil services.

As a Senior Site Reliability Engineer, you will own AWS infrastructure, ensure reliability, and enhance deployment processes, primarily working with Kubernetes and Terraform.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.

The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.

As a Senior Machine Learning Engineer, you will create machine learning solutions, optimize models, and lead client projects using cloud technologies.

Design and maintain backend services for AuthZed Cloud's control plane, focusing on Kubernetes systems and secure authentication. Collaborate with teams for system reliability and incident resolution.

Develop backend services using Kotlin and TypeScript, improve developer productivity, and maintain high code quality while collaborating with product teams.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

The Project Manager will lead large-scale IT application implementations, manage cross-functional teams, and drive Agile execution while overseeing budgets and stakeholder engagement.

As a Full Stack Engineer, you'll own the development of features from design to production, collaborate with various teams, and continuously improve the platform by solving technical challenges.