Additional Information
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon's global data center infrastructure generates millions of operational alarms daily, and right now most of the triage, analysis, and routing of those alarms requires significant human effort from engineering operations teams. The SKG team within DC BRIDGE is building intelligent systems that fundamentally change how data center engineers interact with alarm data: reducing noise, automating triage, and applying generative AI to surface actionable insights from complex operational signals.
This is a builder role on a team that ships. We're a small team of SDEs with a senior technical leader setting direction, and we deploy to production multiple times per week. As an SDE2 you'll own features end-to-end - design, code, test, deploy, operate - and contribute meaningfully to the team's technical decisions. The technology strategy for GenAI is still being shaped, which means your design proposals and prototypes will directly influence what we build next.
Tech stack: TypeScript (primary for CDK and service code), Python (data processing, Lambda functions, AI service integration). AWS services include Lambda, DynamoDB, SQS, SNS, S3, CloudWatch, Amazon Bedrock, API Gateway, and Route 53. CI/CD runs on Amazon's internal build, test, and deployment tooling.
Key job responsibilities
- Build the services in the Data Center Alarming Platform that turn an alarm firehose into actionable signal: suppression, correlation, and deduplication logic running across hundreds of data centers. You'll own features end-to-end and make the implementation decisions yourself
- Build integrations with Amazon Bedrock for natural-language alarm summarization, pattern detection, and triage assistance. This is an applied engineering role - you'll integrate and orchestrate AI services, not build or train models. Expect to prototype, measure, and iterate
- Contribute to the Automated Triage and Ticketing Engine: services that classify, prioritize, and route alarms to the appropriate data center engineering operations teams with contextual information for faster resolution
- Define infrastructure as code using AWS CDK. You'll write the constructs, wire up the pipelines, and own the operational health of what you deploy
- Participate in design reviews - both authoring designs for your own work and providing meaningful feedback on others'. You're expected to bring your own proposals and trade-off analysis
- Mentor SDE1s on the team through code review, pairing, and helping them grow into autonomous contributors. Train new teammates on how our systems work and how they fit into the bigger picture
A day in the life
Your morning might start with a standup giving an update on a new alarm correlation service, then shift into a code review where you give thoughtful feedback to an SDE1 on a Lambda function. You spend a focused block writing TypeScript CDK to wire up a new alarm analysis pipeline, then debug a production issue that surfaced overnight - finding the root cause and writing a permanent fix. After lunch you join a design review for a teammate's proposal, asking the questions that surface unstated assumptions. You wrap up by prototyping a Bedrock integration for alarm summarization.
Amazon Data · Seattle, WA