Release Train Engineer (RTE)
TechTalent Solutions LLC
Louisville, KY, United States
29 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Artificial Intelligence
Microsoft Azure
Capability Maturity Model
Continuous Integration
DevOps
Scrum Methodology
Scaled Agile Framework
Multithreading
Generative AI
Job description
- Serve as the Release Train Engineer (RTE) for one or more Agile Release Trains (ARTs).
- Facilitate PI Planning, Scrum of Scrums, ART Sync, Inspect & Adapt, and other SAFe ceremonies.
- Coordinate delivery across multiple Agile teams to ensure alignment with business objectives.
- Identify, manage, and escalate program risks, dependencies, and impediments.
- Track program execution, milestones, and delivery metrics using Azure DevOps.
- Drive continuous improvement and Agile maturity across teams.
- Collaborate with Product Management, Product Owners, Scrum Masters, Architects, and stakeholders.
- Support release planning and ensure successful execution of program increments.
- Coach teams and stakeholders on SAFe and Agile best practices.
- Contribute to AI-enabled Agile practices or process improvements (nice to have).
Requirements
We are seeking an experienced Release Train Engineer (RTE) to lead Agile Release Trains (ARTs) across large, complex, multi-team environments. The ideal candidate will have strong experience with the Scaled Agile Framework (SAFe), Agile delivery practices, and enterprise-level program coordination. Experience with Azure DevOps is required, while exposure to AI/GenAI initiatives is a plus., * 8+ years of overall IT experience with 4+ years as a Release Train Engineer (RTE).
- Strong hands-on experience with SAFe (Scaled Agile Framework).
- Experience managing large-scale, multi-threaded Agile programs with multiple Scrum teams.
- Strong understanding of Agile methodologies including Scrum and Kanban.
- Hands-on experience with Azure DevOps for backlog management, sprint planning, reporting, and release tracking.
- Excellent stakeholder management, communication, and facilitation skills.
- Ability to manage risks, dependencies, and cross-functional coordination.
Preferred Skills:-
- SAFe RTE or SAFe Agilist Certification.
- Experience with AI/Generative AI initiatives or AI-driven Agile delivery.
- Experience working in enterprise digital transformation programs.
- Knowledge of DevOps and CI/CD practices.
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