Top AWS Jobs in Vancouver

As Head of Engineering, QA, lead the QA strategy, build automation, ensure reliability, and grow a high-performing QA team in an AI healthcare startup.

As an Applied AI Engineer, design and build intelligent AI systems, manage data ingestion layers, and ensure security while scaling AI infrastructure.

As a Machine Learning Engineer, you'll create algorithms for personalized interior design tools, collaborate with experts, and drive innovative user-centric solutions.

Lead the AI Agents team, developing intelligent multimodal AI agents, optimizing performance, ensuring software quality, and integrating AI solutions to enhance customer experiences.

The Lead AWS Cloud DevOps Engineer will manage cloud infrastructure, lead a team, implement best practices, and ensure application reliability.

As a Senior Staff Engineer, you will lead the technical direction for the Stream Control Plane, build scalable features, mentor junior engineers, and ensure high software quality while handling large datasets in a remote environment.

Lead and grow a team focused on cybersecurity solutions, overseeing technical strategy, development of APIs and SDKs, while mentoring engineers and ensuring best practices.

The Technical Account Manager (TAM) serves as a principal technical advisor for strategic customers, ensuring operational excellence and customer success while advocating for their needs internally at Articul8.

The Senior DevOps Engineer will assess and optimize IBM i environments, modernize infrastructure, implement DevOps practices, and collaborate with cross-functional teams to enhance software delivery.

Design, operate, and improve scalable infrastructure systems for processing millions of invoices while ensuring performance, reliability, and developer experience.

The Technical Lead will design cloud-native systems, mentor teams, set technical visions, and influence product roadmaps while collaborating across engineering groups.

As a Senior React Native Developer, you will design and develop cross-platform mobile applications that enhance fleet safety and performance, while ensuring high-quality user experiences and seamless integration with cloud services.

The role involves architecting scalable backend systems and data pipelines, providing technical leadership, and ensuring best practices in software development.

Develop and optimize scalable distributed systems, write extensible test-driven code, and collaborate on web architecture. Lead modernization projects.

The role involves building scalable, distributed microservices in Go and managing user data, requiring extensive backend development experience.

You will design and improve scalable systems, optimize performance, write test-driven code, and collaborate on architectural decisions in a remote engineering team.

The Engineering Manager will lead a full-stack engineering team, mentor engineers, manage project design, and align with product goals while promoting best practices.

Lead the automation strategy, framework architecture, and quality governance for cross-platform applications while mentoring a team of QE/SDET engineers.

As a Senior QE Engineer/SDET, you'll own automation testing for various platforms, enhance CI/CD integration, and mentor teams to improve quality standards.

As a Senior Agentic AI Engineer, you will lead innovation in AI initiatives, from ideation to prototyping, collaborating with teams to deliver impactful solutions.

As a DevOps Engineer, enhance and maintain cloud infrastructure, optimize CI/CD pipelines, and collaborate with teams to improve automation, reliability, and security.

Lead multiple engineering teams to deliver integrations and customer features, overseeing the software development lifecycle while mentoring engineers and managing projects.

Lead and mentor engineering teams, manage software delivery, enforce development practices, and engage in hands-on coding with various programming languages.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

Design and build language models for AI security products, managing data pipelines, experiments, and model evaluations to ensure reliability and safety.