Model Server Assistant Jobs in Massachusetts (NOW HIRING)

If building the platforms that enable hundreds of engineers to ship safely to one of the world's largest storage services excites you, the EBS Server Agility team is the place to do it. Our team builds and operates the continuous integration infrastructure that validates every code change to EBS server software before it reaches production - infrastructure that serves millions of AWS customers across 400,000+ bare-metal servers.
We're looking for a Software Development Engineer to design and build core components of our CI systems - from distributed test orchestration that runs thousands of test suites daily across heterogeneous hardware, to AI-powered developer tools that generate tests, predict failures, and surface regressions before they reach production. You'll tackle complex problems involving testing at massive scale, performance and memory profiling across multiple CPU architectures (x86 and ARM/Graviton), secure automated operations for CI infrastructure, and intelligent qualification systems that balance speed, cost, and coverage.
CI at EBS sits in the critical path for developer velocity and production quality

You'll work alongside senior engineers and principal engineers across EC2 and EBS, contributing to integrations that make development faster and safer. If you want to build secure, intelligent systems that make engineers more productive at AWS scale, we'd love to talk to you.
Key job responsibilities
- Design and build CI systems that validate EBS server code changes across multiple hardware architectures with fast, reliable signal
- Build and improve distributed test orchestration infrastructure that runs thousands of test suites daily, giving developers confidence in what they ship
- Contribute to shift-left testing strategies and quality frameworks that catch defects earlier in the development cycle - emphasizing quality, agility, frugality, and engineering efficiency
- Design and implement intelligent test selection and qualification systems using AI/ML - cutting qualification time without sacrificing coverage
- Build secure, automated operational infrastructure for CI services - ensuring availability, observability, and autonomous recovery
- Develop memory safety and performance profiling infrastructure that detects spatial/temporal errors, race conditions, and regressions at scale
- Contribute to AI-native CI tooling - automated test generation, intelligent code review, predictive failure analysis, and debugging assistants
- Optimize CI infrastructure costs while maintaining quality
- Participate in design reviews, conduct code reviews, and contribute to CI reliability and developer experience best practices
A day in the life
Your work spans the full range of CI engineering - from investigating flaky test patterns and building automated detection systems, to designing intelligent test selection models that cut qualification time. You'll work on compliance enforcement mechanisms that keep the development bar high, analyze CI data to identify systemic quality trends, and build AI-powered tooling that accelerates how engineers write and validate code.
This is a high-visibility role

CI decisions affect the velocity and confidence of every EBS server engineer. You'll collaborate with principal engineers and teams across EBS and EC2 on cross-service integrations, contribute to technical direction beyond your immediate team, and help shape how EBS develops software at scale.
We value engineers who reduce toil through smart automation, make principled tradeoffs between speed and safety, and take ownership of their systems end-to-end.
About the team
We design and operate distributed testing systems that qualify every code change for production deployment, build AI-powered developer tools that accelerate the development workflow, maintain secure automated operations for CI services, and provide observability infrastructure that surfaces quality trends across the entire codebase.
We're a 10-person team in Boston building toward a future where CI is intelligent, fast, and self-healing - catching bugs before production with minimal developer friction. There's significant greenfield opportunity: testing bare-metal storage software at this scale has almost no off-the-shelf solutions, so you'll be designing from first principles.