Top AWS Jobs in Vancouver

Design and build scalable ETL/ELT pipelines for clinical data, optimize data architectures in AWS, support AI workflows and ensure compliance and data governance.

The role involves developing and implementing Fluent Commerce solutions, integrating OMS with various enterprise systems, and ensuring high performance and scalability.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

The Software Engineer will architect and implement scalable microservices, optimize infrastructure performance, and standardize best practices in a remote-first environment.

As a Senior Software Engineer (FDE), you'll build and deploy AI solutions, collaborate with teams, manage technical projects, and optimize workflows while interfacing with clients.

As a Staff Backend Engineer, you will operate and evolve multi-cloud database infrastructure, lead technical initiatives, and mentor engineers. Responsibilities include improving observability, automation, and troubleshooting complex incidents in a high-throughput environment.

The Senior Machine Learning Engineer will design and optimize ML/AI systems, lead model development, and collaborate cross-functionally to advance digital forensics.

Lead the development of high-performance web applications, mentor junior engineers, influence architecture, and deliver exceptional user experiences.

Design and develop Waabi's observability stack, optimize performance, build automation tooling, and support application requirements while leading projects and mentoring teams.

Lead the design and deployment of software solutions, mentor team members, and ensure quality in a collaborative environment leveraging modern technologies.

The Senior Site Reliability Engineer will ensure system reliability, implement automation, monitor performance, and collaborate on service objectives and incident responses.

Seeking a Technical Director to own architecture, mentor a team, lead client strategies, and ensure technical excellence across key projects.

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

Lead cloud integrations and strategy for AWS and Azure, collaborate on product development, manage relationships with partners, and resolve technical challenges.

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 DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

Design and optimize telecom business systems, integrate AI for automation, analyze data for insights, and collaborate with teams on BSS initiatives.

As a Senior Software Engineer, you'll develop scalable microservices, integrate telecom workflows, and lead automation efforts, enhancing customer experiences on the OXIO platform.

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

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

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

The Technical Operations Manager leads a team managing blockchain infrastructure, ensuring reliable performance, driving operational excellence, and mentoring Engineers while fostering collaboration across departments.

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.

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.