Top AWS Jobs in Vancouver

The role involves designing and implementing backend solutions, working with databases, testing, and integrating APIs while utilizing modern technologies and frameworks.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

As a Staff Infrastructure Engineer, you will design and operate AWS environments, improve reliability, and automate infrastructure with a focus on collaboration and mentorship.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.

The role involves designing and optimizing scalable backend systems using Python and AWS, focusing on metadata processing for large datasets.

Manage a team of AI engineers in developing AI-powered features, collaborating with various stakeholders while also contributing hands-on to the codebase.

As a Senior Engineer at 8am, you will design and implement AI features, collaborate with teams, and develop tools for AI deployment.

The Senior Software Engineer focuses on developing backend systems, managing APIs, collaborating with teams, and ensuring operational availability while participating in community building within the team.

As a Staff Software Engineer, lead the technical direction, architecture, and design for Square's Local Services products, mentoring engineers and improving system performance and reliability.

The Staff Software Engineer will define the vision for the Square Debit Card systems, drive integrations, architect frameworks, and mentor senior engineers while building reliable financial tools for sellers.

The Software Developer will design, develop, test, and deploy applications using PHP Laravel, troubleshoot, participate in Agile processes, and improve software performance.

As a Full-Stack Engineer, develop scalable backend and frontend features using Ruby on Rails and React/TypeScript, ensure system optimization, maintain CI/CD pipelines, and mentor junior engineers.

The Software Engineering Intern will design, build, and deliver core AI-driven services in a collaborative agile team for a SaaS platform.

Collaborate with engineers to design and implement AI-powered features, develop cloud-based software, and maintain high standards of performance and security.

The Full-Stack JavaScript Developer will develop and maintain applications, manage Node.js services, and design databases while collaborating effectively within the team.

Develop and maintain innovative software products in life sciences, collaborating with cross-functional teams, ensuring comprehensive testing, and providing technical support.

Join Veeva as a Senior Site Reliability Engineer to ensure scalability and reliability of applications. Responsibilities include building cloud infrastructure, driving reliability, leading incident management, automating processes, and mentoring team members.

Provide technical support for MongoDB to customers, resolving problems, assisting fellow engineers, and contributing to content creation and product strategy.

Design and implement ServiceNow architecture to enhance operational efficiency for enterprise clients, ensure compliance, and provide technical leadership.

The Machine Learning Scientist will develop AI-based solutions to manage risks, collaborating with various teams while optimizing ML processes and mentoring peers.

Manage and develop the Data Engineering team to build scalable data systems and APIs. Set architectural vision, ensure data quality, and collaborate across teams to drive business impact.

The role involves solving technical issues, managing client requests, performing system patching, overseeing deployments, and onboarding new clients while ensuring communication and documentation.

The Staff Software Engineer will lead projects, define solutions, mentor engineers, and deliver technical goals while optimizing team performance.

Design, code, integrate, and test software; optimize systems and databases; prepare documentation; require 2+ years software development experience.

As a Principal MLOps Developer, you'll build scalable ML training pipelines, optimize training systems, and collaborate with AI researchers to innovate within the AEC industry.