Preferred Experience & Skills: • Senior-level software engineering experience in one or more areas such as full-stack, back-end, integration, cloud, platform engineering, DevOps, automation, or data-oriented engineering • Experience creating technical design documentation, reviewing code and unit tests, validating solution quality, and coaching or mentoring other engineers • Experience developing clean, efficient, maintainable code and supporting high-complexity or high-risk technology efforts • Experience with APIs, Git-based workflows, CI/CD, automated testing, scripting, observability, secure coding practices, and production-ready engineering patterns • Ability to work through ambiguity, translate business and technical needs into reusable solutions, and collaborate across technical and non-technical stakeholders • Experience in AI-assisted engineering, GenAI, LLM-enabled solutions, agentic workflows, prompt/skill design, tool integrations, validation, evaluation, or human-in-the-loop delivery practices . What Makes You Stand Out: • Experience building or integrating agentic, automation, workflow orchestration, developer productivity, or internal platform capabilities • Experience designing solutions that produce clear documentation, evidence, traceability, validation results, and operational runbooks • Experience working in regulated enterprise environments where security, privacy, governance, reliability, and responsible AI practices are important • Demonstrated ability to establish new engineering practices, influence adoption, and help teams safely apply emerging technology to improve delivery speed, quality, consistency, and transparency .