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NEXTMOVEFDE careers · United States
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Senior Software Engineer - Build, Test, and Deploy

AI summary of the role

Senior Software Engineer on the Build, Test, and Deploy team at CoreWeave, owning the platform and services that power software integration and delivery across 40+ AI cloud data centers.

What you’ll do

  • Design and build core services and frameworks for the internal integration and delivery platform — CI infrastructure, build and testing services, deployment orchestration and automation.
  • Own technical direction for key platform subsystems, drive architectural decisions, and lead multi-quarter initiatives from design through production.
  • Build for real scale, orchestrating deployment lifecycles for thousands of application instances across data centers with varying infrastructure profiles.
  • Instrument, measure, and improve system health using metrics like build success rate, deployment frequency, change failure rate, and MTTR.

What you’ll bring

  • 7+ years of software engineering experience building production platforms, developer tooling, or delivery infrastructure.
  • Experience with progressive delivery patterns (canary, blue/green, feature flags, error budgets, traffic shaping).
  • Strong systems design skills — approach build, test, and deploy as a software engineering problem, not configuration.
  • Proficiency in Go, Python, or similar languages with production experience in cloud-native environments.

Technologies

Go · Python · Kubernetes · GitHub Actions · Buildkite · Bazel · CI/CD · deployment orchestration · feature flags · observability

Source and classification

Internal deployment & tooling · Evidence for this classification:

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About the role: CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Build, Test, and Deploy team owns the platform, services, and systems that power software integration and delivery across CoreWeave's AI cloud: 40+ data centers, each running a large number of application
More from the job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About the role: CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Build, Test, and Deploy team owns the platform, services, and systems that power software integration and delivery across CoreWeave's AI cloud: 40+ data centers, each running a large number of application instances, all needing to be deployed, updated, and managed reliably and at pace. This is a high-leverage engineering role. You won't be configuring systems and tools. You'll be designing and building the integration and delivery platform itself. Our team operates at the intersection of distributed systems engineering, developer experience, and release infrastructure. The work you do will directly shape how fast and safely every engineering team at CoreWeave ships software. What You'll Do Design an [... source excerpt omitted ...] and automation. Own the technical direction for key platform subsystems. Drive architectural decisions, shape the roadmap, and lead multi-quarter initiatives from design through production. Build for real scale. Our platform must reliably orchestrate deployment lifecycles for thousands of application instances across data centers with varying infrastructure profiles. Lead by example on engineering quality. Establish patterns, own design reviews, and actively mentor junior engineers on the team. Instrument, measure, and improve system health using metrics like build success rate, deployment frequency, change failure rate, and MTTR, and close the loop by fixing systemic bottlene [... source excerpt omitted ...] t-generation AI-native and agentic workflows and developer infrastructure. What We're Looking For 7+ years of software engineering experience with meaningful time spent building production platforms, developer tooling, or delivery infrastructure. Experience with progressive delivery patterns, such as canary and blue/green deployments, feature flag infrastructure, error budget management, or traffic shaping. Strong systems design skills. You approach build, test, and deploy as a software engineering problem, not a configuration exercise. You can design distributed services, background workers, and event-driven systems. Proficiency in Go, Python, or similar languages with produc

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