Key job responsibilities
Design, build, and operate the distributed health checking infrastructure and public API behind Route 53 Health Checks.
Build and vend the AI tooling that service teams across Route 53 use to design and build their own console changes, and hold the quality bar on what they ship.
Own and build new AI services and capabilities for DNS and Route 53, from idea to launch.
Bring the latest AI tools and techniques into how the team designs, builds, and ships software.
Operate what you build. Take part in on call, own metrics and alarms, and drive root cause analysis on production issues.
Work with product managers, designers, and engineers across more than 10 service teams in AWS networking.
Turn requirements that are ambiguous and change quickly into products customers rely on.
Our health checking stack is primarily Java and Linux, with lots of interaction with public AWS services and Amazon internal tools. Our console stack is TypeScript and React. We do not expect you to know all of it, but we do expect you to be excited to learn it.
A day in the life
Our customers are the developers and businesses who use Route 53 to manage DNS and route traffic for their applications around the world, and our job is to make that easy, reliable, and fast. No two days look the same. You might start the morning extending the AI tooling that service teams across Route 53 use to build their own console changes, review a change one of those teams submitted and hold the bar on the console patterns and the design guidelines, then spend the afternoon on the health checking infrastructure itself, on the checkers that monitor millions of endpoints or the public API in front of them. Some days you go deep on a distributed system, other days you are building tooling or trying out a new AI tool. You review code, help decide what the team builds next, and partner with service teams across AWS networking to ship features that reach customers everywhere. When a hackathon idea grabs you, there is room to chase it.
About the team
We are a tight knit team that cares about our customers and about running a highly available platform on the Internet. We like to experiment and to learn out loud, whether that is a hackathon, a demo of something you just built, or a session digging into a new AI tool together. We are good at making sense of ambiguity and shipping products people rely on, and we welcome bold ideas and give you the ownership to take them all the way. And when we are not building, we make time to have fun together with regular team outings.
If you want to work on hard problems at scale and help decide where an AWS service goes next, we would like to hear from you.
4+ years of full stack development experience
4+ years of non-internship professional software development experience
4+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience programming with at least one software programming language
Bachelor's degree in computer science or equivalent
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Knowledge of machine learning model architecture and inference
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, BC, Vancouver - 114,800.00 - 191,800.00 CAD annually
