Developer Experience Engineer

NODA AI•Austin, TX

2d•Hybrid

About The Position

Developer Experience at NODA is not a support function — it is a force multiplier. We build the internal tooling, build systems, release automation, SDK workflows, and self-service developer surfaces that allow engineers to move from idea to validated artifact quickly and reliably. As a Developer Experience Engineer, you will own the engineering systems that make NODA developers productive. You will improve the full developer lifecycle: local development, GitHub workflows, CI/CD, build optimization, test feedback, release automation, SDK packaging, documentation, and first-run experience. This is a hands-on engineering role for someone who treats developer productivity as a systems problem. You will own the path from: git push → validated build → packaged SDK → usable developer workflow You will work closely with autonomy, simulation, platform, and field engineering teams to reduce friction and create fast, reliable, and reproducible workflows for both connected and constrained deployment environments.

Requirements

5+ years of experience in Developer Experience, platform engineering, build/release engineering, infrastructure engineering, or software engineering focused on internal tools.
Strong hands-on experience with CI/CD systems and automated release workflows.
Experience designing and optimizing build, test, and release pipelines.
Strong Python skills for tooling, automation, SDKs, or packaging.
Experience owning SDKs, CLIs, or developer-facing platforms.
Strong systems debugging skills across code, infrastructure, CI, packaging, and developer environments.
Experience with containers and reproducible development environments.
U.S. Citizenship with the ability to obtain and maintain a security clearance.

Nice To Haves

Experience with air-gapped, classified, CUI, or restricted-network deployment patterns.
Experience supporting autonomy, robotics, simulation, edge, embedded, or defense-adjacent software workflows.
Experience owning SDKs, CLIs, Python packages, or developer-facing platforms.
Experience with Python packaging and distribution, including PyPI, containers, or offline bundles.
Experience with cloud-backed build infrastructure, including AWS EC2, self-hosted runners, or ephemeral environments.
Experience improving build performance in complex multi-language or systems-heavy codebases.
Familiarity with distributed messaging systems such as Zenoh, DDS, MQTT, or similar.

Responsibilities

Own GitHub-based engineering workflows, including PR validation, CI triggers, quality gates, and release automation.
Improve engineering feedback loops, build reliability, and deployment confidence across local and CI environments.
Own the developer-facing SDK and CLI experience, including install flow, CLI ergonomics, Python package usability, examples, quickstarts, and release quality.
Eliminate workflow friction and reduce dependency on tribal knowledge through automation and self-service tooling.
Build and maintain reproducible, secure, and air-gapped developer and release workflows.
Use metrics and developer feedback to continuously improve engineering workflows and platform adoption.
Partner across autonomy, simulation, systems, and field engineering teams to ensure workflows reflect real operational needs.