Top AWS Jobs in Ottawa

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

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

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

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.

The Software Engineer will build new features, improve site reliability, and participate in agile practices while collaborating with the team using technologies like Java and AWS.

As a Senior Full Stack Developer, you will develop and maintain web applications, collaborate with teams, and mentor junior developers, ensuring high performance and user experience.

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

Responsible for developing and maintaining web applications, collaborating with teams to build new features, mentoring junior developers, and ensuring high performance and user experience.

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 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 Platform Infrastructure Research Engineer, you'll design scalable systems for AI, optimize cloud services, and support resilient infrastructures across various environments.

Lead and mentor a software development team, driving technical innovation and delivery of software solutions, while managing performance and fostering collaboration.

Manage and improve the AWS infrastructure, deploy into new regions, monitor releases, and implement new technologies in a fast-paced environment.

The Senior Software Engineer, Infrastructure will lead DevOps projects, enhance infrastructure, mentor junior engineers, and leverage modern AI technologies.

The Software Developer in Test will contribute to quality in software development through test case design, automated testing, and DevOps practices in a scrum team.

As a Software Engineer specializing in backend development, you'll create data-heavy applications and APIs, orchestrate workflows, and work closely with data and analytics teams to produce scalable solutions.

Lead the engineering team at ServiceTitan, focusing on technical vision, system design, mentoring engineers, and enhancing operational efficiency.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.