Scrum Master

Scrum Master

Work Location(s): AWS IAD21 (Herndon, VA); Customer Site in Springfield, VA;

Anticipated Start: 8/15/2026

Anticipated End: 31 July 2027

IC Green Badge Required? (Yes)

Clearance Level Required - TS/SCI w/CI Poly

Customer accounts required:

Active customer accounts are preferred, but will ultimately require SBU, COE

Individual Requirements:

Clearance: TS/SCI w/Poly

Facility Access: Green Badge (can be provided as part of crossover)

Company Issued Laptop

Description of Services/Responsibilities:

• 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

Basic Requirements

• 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
• Experience with Orange customer preferred
• Must be willing to work in SCIF at AWS Herndon or Springfield, VA Site up to 100% of each week

Preferred Qualifications:

• 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