Lead Infrastructure Engineer - Developer Experience
at Arcesiumllc
New York, lead, full time, USD 2,15,000–2,65,000 / year, 5+ years
posted 13 Aug 2026
- GenAI
- Java
- Retrieval-augmented generation
- Go
- CI/CD
- Bash
- LLM
- Observability
- SDLC
- Python
About the role
Arcesium seeks an accomplished Lead Engineer to join the Developer Experience (DevEx) team, part of our Infrastructure organization. You’ll be an engineer improving the experience of other software engineers — your users are the developers building Arcesium’s products. You have a low tolerance for friction in the development loop. Slow CI pipelines, flaky tests, observability that leaves you guessing, deploy processes that make people hold their breath — these are the things that nag at you, and you channel that into building practical solutions that measurably improve developer velocity and satisfaction.
DevEx’s mandate is to maximize developer productivity and efficacy by providing best-in-class SDLC and Observability services, and by building systems that strategically apply GenAI to every stage of software development and operations. As a Lead Engineer on the DevEx team, you will own one or more subsystems or services across areas, delivering high-quality products both individually and collaboratively.
In this role you will lead by example through your strong engineering skills, supported by the quality of the software you build, the insightful code reviews you provide to others, and the technical solutions you originate and implement. You must demonstrate high agency: combining systems thinking, a bias to action, and the willingness to challenge assumptions to assess and address the needs, challenges, and concerns of engineering teams at Arcesium.
What you would do
- Design and build bleeding-edge systems for incorporating GenAI into software development and operations. This includes evaluating, building, integrating, and operating coding agents; building the infrastructure to make these agents effective and safe in our environment; and pioneering new ways to apply AI to the entire development lifecycle — all the way from idea prototyping to code generation and review, to testing, to deployment, to operational diagnostics
- Engineer and maintain the SDLC toolchain, including our source control platform and related CI/CD infrastructure, processes, and integrations, ensuring reliability and developer productivity
- Build and improve capabilities for feature flagging, progressive delivery, automated rollouts and rollback, and self-contained, on-demand test environments so that engineers can develop, test, and ship changes safely and with confidence
- Advance the Observability stack — encompassing metrics, logs, traces, and events — to help engineers solve operational problems efficiently
Read from job-boards.greenhouse.io, last seen 4d ago.