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Release Train Engineer
Release Train EngineerNPAworldwide • Tampa, FL, United States
Release Train Engineer

Release Train Engineer

NPAworldwide • Tampa, FL, United States
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Job description :

We are seeking an experienced Release Train Engineer (RTE) to support an autonomous systems development project.

The project aims to develop and deploy systems capable of autonomous decision-making based on internal and external sensors and data feeds.

The primary responsibility of this role is to lead an agile release train (ART) composed of multiple vendors and government teams by conducting agile coaching, facilitating agile processes, managing risks, and driving execution to ensure the successful delivery of value.

This includes planning incremental improvements and releases that align with stakeholders and organizational goals.

The ideal candidate possesses a strong combination of agile expertise, strong communication skills, and a commitment to delivering mission-critical value.

This role is 4 days per week onsite.

RESPONSIBILITIES

Lead the Agile Release Train (ART). Facilitate processes, manage risks, and drive execution that aligns with stakeholders and organizational goals.

Plan, organize, orchestrate, and report on capability release and program increment (PI) performance to inform and drive delivery.

Lead and facilitate PI Planning events, aligning all teams on the ART to a shared mission and vision.

Adapt SAFe practices to fit the organizations unique needs.

Foster a culture of continuous improvement across teams.

Establish SAFe principles by implementing program-level Agile practices.

Identify and act on opportunities to improve the ARTs efficiency to increase value delivery to the end-user in every iteration.

Lead the ARTs Lean Agile Center of Excellence transformation efforts, perform agile coaching, and evolveperformance based on metrics-informed practices.

Bridge communication gaps by effectively communicating across technical and non-technical stakeholders.

QUALIFICATIONS

Experience with Scaled Agile Framework (SAFe).

Experience as a Release Train Engineer or similar role.

Excellent communication and presentation skills for engaging with customers and internal teams.

Active SECRET security clearance (required).

HIGHLY DESIRED

Strong understanding of DoD processes and military operations.

Experience leading multi-vendor integration efforts within the DoD.

Previous experience in a customer-facing or consulting role.

Experience as a Systems or Software Engineer.

Active TS / SCI security clearance

SAFe Practice Consultant (SPC) certification.

Bachelors degree in engineering or a related field.

Masters degree in engineering or a related field.

Keywords :

Scaled Agile Framework (SAFe), Agile Methodologies, Security Clearance, System Development, Systems Engineering, System Requirements, JIRA, Software Project Management, Process Improvement, Facilitation

Qualifications : QUALIFICATIONS

Experience with Scaled Agile Framework (SAFe).

Experience as a Release Train Engineer or similar role.

Excellent communication and presentation skills for engaging with customers and internal teams.

Active SECRET security clearance (required).

HIGHLY DESIRED

Strong understanding of DoD processes and military operations.

Experience leading multi-vendor integration efforts within the DoD.

Previous experience in a customer-facing or consulting role.

Experience as a Systems or Software Engineer.

Active TS / SCI security clearance

SAFe Practice Consultant (SPC) certification.

Bachelors degree in engineering or a related field.

Masters degree in engineering or a related field.

Keywords :

Scaled Agile Framework (SAFe), Agile Methodologies, Security Clearance, System Development, Systems Engineering, System Requirements, JIRA, Software Project Management, Process Improvement, Facilitation

Why is This a Great Opportunity :

We are seeking an experienced Release Train Engineer (RTE) to support an autonomous systems development project. The project aims to develop and deploy systems capable of autonomous decision-making based on internal and external sensors and data feeds.

Salary Type : Annual Salary

Salary Min : $ 170000

Salary Max : $ 200000

Currency Type : USD

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