Software Development Engineer II in Vancouver

The AWS Identity team builds the secure identity, access, and resource management foundation for customers to scale in the AWS Cloud. By joining the AWS Identity team, you will work on massively scalable, core technologies used for authentication and authorization to all AWS services (such as Amazon EC2, Amazon S3, and Amazon DynamoDB). Our mission is to make it easier, safer and convenient for AWS customers to run their business workloads confidently and securely.

As part of this mission, we process large amounts of data and leverage large scale data analysis techniques such as machine learning and automated reasoning to help customers set appropriate access controls across all their AWS environments. AWS has the most services and more features within those services than any other cloud provider - from infrastructure technologies like compute, storage, and databases - to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.

Whether it's Identity features such as access management and sign on, cryptography, console, builder & developer tools, and even projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.

A successful candidate for this position is a strong senior software engineer who thrives in building and operating high-scale distributed systems. You will serve as a technical leader across the full breadth of our Identity Center stack, spanning multiple services and geographically distributed teams. You are passionate about designing elegant, maintainable solutions to complex problems, writing high-quality code, and raising the bar for engineering excellence across organizational boundaries.

You have deep experience building services that operate at massive scale with high availability requirements, and you're energized by the challenge of building secure, performant systems that millions of customers depend on every day. You will own the end-to-end delivery of features and systems, from design through deployment and operations, working across the Identity Center stack and collaborating closely with adjacent teams in the broader ecosystem.

You are comfortable diving deep into ambiguous problem spaces, driving technical direction across multiple service boundaries, and mentoring other engineers. You take pride in operational excellence and building systems that are observable, resilient, and easy to maintain. You look forward to working in a geographically distributed, high-quality international and diverse team where you can both learn from and elevate those around you.

Key job responsibilities

• Own and deliver features end-to-end across the AWS IAM Identity Center service, from design through implementation, testing, and production deployment.
• Design and build scalable, highly available APIs serving millions of requests per day across all AWS regions.
• Drive technical decisions for your workstream, producing design documents, leading design reviews, and incorporating feedback from senior engineers.
• Identify and resolve operational bottlenecks, improve system reliability, and reduce undifferentiated heavy lifting through automation.
• Mentor junior SDEs and interns, provide code reviews, and raise the quality bar for the team.
• Collaborate cross-functionally with partner teams to deliver integrated customer experiences.

Basic Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• Experience programming with at least one software programming language.

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• Bachelor's degree in computer science or equivalent.