> Markdown version of [/jobs/ext/3990317-release-train-engineer](https://www.wearedevelopers.com/jobs/ext/3990317-release-train-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Release Train Engineer - **Company:** Eliassen Group - **Location:** Montpelier, VT, United States (Remote available) - **Salary:** $156,000.0 - $176,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Security, Scrum Methodology, Model Validation - **Published:** October 28, 2026 - **Apply:** https://dejobs.org/x/x/CAC43703D1714BB18AC6AF71EA938912/job/ ## About the Role * Proven Release Train Engineer or equivalent senior multi-team Agile leadership with measurable improvements in flow, predictability, and quality. * Expertise in Kanban, Scrumban, and Lean flow including WIP limits, cycle time, aging work, and dependency management. * Strong coaching and facilitation skills with the ability to challenge unrealistic commitments and guide trade-offs with senior leaders. * Adaptive approach that scales down large-framework practices to fit small teams and continuous planning. * Working knowledge of AI delivery across data, model evaluation, human review, integration, and monitoring. * Cross-functional leadership experience across business, product, technology, vendors, and risk or controls. * Nice to have: experience in financial services or regulated industries, launching new small teams, multi-vendor coordination, and SAFe RTE, Kanban, or coaching certifications. ## Description * Run the system of work by establishing and improving the program Kanban, WIP limits, and clear readiness and done criteria while avoiding unnecessary ceremonies. * Translate intent into executable work by partnering with product and business leaders to break outcomes into small, testable epics that teams pull based on capacity. * Clear the path by surfacing and resolving risks, dependencies, and blockers across data access, integrations, and review queues. * Embed AI readiness into delivery by planning evaluation, human review, monitoring, and support as first-class work. * Facilitate decisions through planning, syncs, demos, and retrospectives focused on evidence, forecasts, and trade-offs. * Grow team autonomy by coaching leaders and teams to make sound local decisions that reduce reliance on central coordination.