Scrum Master / Agile CoachLocation: Pittsburgh, PA
Work Arrangement: Onsite 4 days per week
Position OverviewWe are seeking an experienced
Scrum Master / Agile Coach to guide software development teams in applying Agile/Scrum principles, improving team maturity, and delivering against platform-level roadmaps and objectives. This role uses a servant-leadership approach to promote self-organization, transparency, continuous improvement, and effective collaboration.
Key Responsibilities- Coach teams and stakeholders on Agile/Scrum practices, principles, and values.
- Facilitate sprint planning, retrospectives, daily ceremonies, backlog refinement, and conflict resolution.
- Remove or escalate impediments, risks, and dependencies in partnership with RTEs and Scrum Leads.
- Promote self-organization, empowerment, accountability, and continuous improvement.
- Support Product Owners with backlog management, prioritization, and transparency.
- Assess Scrum maturity and coach teams toward sustainable improvements.
- Foster a trusting, collaborative environment focused on problem-solving and delivery.
- Align teams to shared platform strategies, roadmaps, and OKRs.
- Support communication and information sharing across teams and stakeholders.
- Coach and mentor team members while leading by example.
Required Qualifications- Proven experience as a Scrum Master supporting software development teams using Scrum.
- Deep knowledge of Agile methodologies and ways of working.
- Strong facilitation, servant leadership, conflict resolution, mentoring, and communication skills.
- Experience with Agile techniques including User Stories, ATDD/TDD, Continuous Integration, Continuous Testing, and automated testing.
- Experience with JIRA, Confluence, Microsoft PowerPoint, and Excel.
- Previous management experience.
- Applicable knowledge of software development technologies.
- Certified Scrum Practitioner (CSP) or Agile Certified Scrum Master certification.
- Bachelor's degree in Business, Information Systems, Technology, or a related field; other fields will be considered.
Preferred Qualifications- Exposure to AI solutions and experience assisting engineering teams with AI adoption or administration.
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