Scrum Master

AQUA IT

Springfield, VA, United States

16 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services JIRA Code Review Continuous Integration Python (Programming Language) Scrum Methodology Software Engineering Scripting Cloud Platform System DevOps Tools - Open-source

+2 more

Data Analytics Software Version Control

Job description

Serve as dedicated Scrum Master for one or more agile teams, facilitating sprint planning, daily stand-ups, sprint reviews, and retrospectives
Manage and maintain the team backlog, ensuring tickets are well-groomed, properly prioritized, and clearly defined with acceptance criteria
Track and report sprint velocity, burndown, and other agile metrics; identify and remove blockers to keep delivery on track
Coordinate cross-team dependencies and communication across multiple workstreams within the program
Contribute to engineering tasks (e.g., infrastructure automation, CI/CD pipeline updates, or light development work) as capacity allows between scrum duties

Requirements

Active TS/SCI clearance (CI Poly preferred)
Bachelor’s degree or above in Science, Technology, Engineering, or Mathematics (STEM) or equivalent professional experience
3+ years of experience as a Scrum Master or Agile Coach, with demonstrated ability to lead agile ceremonies and manage backlogs in Jira or similar tools
Familiarity with software development practices (source control, CI/CD, code reviews) sufficient to understand team work and remove technical blockers
Strong communication and organizational skills with experience managing competing priorities across multiple teams, * Certified Scrum Master (CSM), SAFe Scrum Master, or equivalent agile certification
Experience working on multi-team, cross-disciplinary programs in a classified environment
Hands-on experience with cloud-native infrastructure (AWS), Infrastructure as Code, or DevOps tooling
Familiarity with AI/ML or geospatial project workflows
Experience applying agile metrics and data-driven approaches to improve team performance
Experience with Python, scripting, or light development work to support automation or tooling needs