About The Position

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, not a maintainer role. We have a team of 8 engineers (SDE1s and SDE2s) who are talented, motivated, and ready for senior technical leadership. The technical strategy is still being defined. Generative AI hasn't been productionized yet. The opportunity is to be the person who shapes the direction, levels up the team, and gets GenAI into production for real data center operations problems. If you want to walk into a well-oiled machine and keep it running, this isn't the role. If you want to build something from a position of real influence, keep reading. Our customers are internal: data center operations engineers who work directly with the physical infrastructure. That means tight feedback loops, fast iteration cycles, and the ability to sit down with the people using your systems to understand what's actually working — real Customer Obsession, not the abstract kind. We want you to walk in with clear eyes. Strategy is still being defined — the team has strong execution capability but needs senior technical leadership to set direction. You won't inherit a roadmap, you'll build one. Input data quality from upstream systems is rough and ripe for optimization. GenAI is unproven here — you'll need to figure out what works and how to get real value from Amazon Bedrock in an operational context, not just build demos. 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 uses Amazon's internal build, test, and deployment tooling including Hydra for integration testing and internal deployment pipelines — these aren't industry-standard tools, you'll learn them here.

Requirements

  • 7+ years of non-internship professional software development experience
  • 7+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Bachelor's degree in computer science or equivalent

Nice To Haves

  • 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

Responsibilities

  • Design and build the Alarm Notification Reduction Platform: systems that intelligently suppress, correlate, and deduplicate millions of alarms across hundreds of data centers, turning a firehose into a focused, actionable signal stream for operations engineers
  • Apply Amazon Bedrock to historically intractable operational problems: natural-language summaries of complex alarm sequences, automated root cause hypotheses, and pattern detection across alarm data. This is Invent and Simplify in practice. This is an applied engineering role — you'll be integrating and orchestrating AI services, not building or training models
  • Own the Automated Triage and Ticketing Engine: systems that automatically classify, prioritize, and route alarms to the appropriate data center engineering operations teams with contextual information for faster resolution
  • Define and evolve cloud infrastructure using AWS CDK, ensuring deployment pipelines are robust, repeatable, and secure across multiple regions
  • Drive architectural decisions for next-generation systems, evaluate build-vs-integrate tradeoffs, define API contracts with partner teams, and author design documents that set multi-quarter direction
  • Actively mentor the team of 8 SDE1s and SDE2s, lead design reviews, raise the bar on engineering practices, and foster a culture where engineers grow in both skill and ownership. This is a core requirement, not a nice-to-have

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service