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Open nowPosted today

Site Reliability Engineering Scrum Master

Leidos2,239 open roles

Pay
$73,450 – $132,775 a year
Where
6314 Remote/Teleworker US
Work mode
Remote
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Your applicationOpen nowSite Reliability Engineering Scrum MasterLeidos · 6314 Remote/Teleworker US

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Leidos postings stay open a median of 14 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted today

Leidos median: 14 days open

The posting

The NMCI Service Management Integration and Transport (SMIT) group at Leidos has an opening for a Site Reliability Engineering (SRE) Scrum Master to bridge the gap between business objectives and technical requirements for the Site Reliability Engineering (SRE) teams. Under the SMIT Contract, the Leidos team is responsible for the core backbone for the Navy-Marine Corps Intranet, including cybersecurity services, network operations, network engineering, service desk, seat support services, and data transport.

The SRE Scrum Master will work closely with internal and customer stakeholders across the engineering organization to understand business needs, gather requirements, and translate them into technical specifications that drive system reliability and performance. You will analyze existing processes, identify improvement opportunities, and support the implementation of solutions that align with the organization’s goals for reliability and operational excellence. Your work will contribute to the development of robust and scalable services that operate reliably in production.

Primary Responsibilities

Requirements Gathering and Analysis:

  • Collaborate with business stakeholders to identify and understand their needs and expectations regarding system reliability and performance.
  • Gather and document functional and non-functional requirements for SRE initiatives, ensuring alignment with business objectives.
  • Analyze existing processes and systems to identify gaps and areas for improvement in reliability and operational efficiency.

Data Analysis and Reporting:

  • Collect, analyze, and interpret data related to system performance, incident management, and user experience.
  • Develop dashboards and reports to provide insights into system reliability, performance metrics, and key performance indicators (KPIs) relevant to SRE efforts with our quality team.
  • Present findings and recommendations to stakeholders, enabling data-driven decision-making for reliability initiatives.

Collaboration with Technical Teams:

  • Work closely with SRE, development, and operations teams to translate business requirements into technical specifications and actionable tasks.
  • Facilitate communication between technical teams and business stakeholders to ensure clarity and alignment with designated SRE teams.
  • Participate in design reviews and assist in validating that solutions meet business requirements and reliability standards.

Process Improvement:

  • Identify opportunities for process improvements that enhance the reliability and efficiency of systems and workflows.
  • Lead initiatives to implement best practices in incident management, change management, and other operational processes to minimize downtime and enhance service quality.
  • Collaborate with teams to establish and refine service level objectives (SLOs) and service level indicators (SLIs) that reflect business priorities.

Documentation and Training:

  • Create and maintain documentation related to business requirements, process flows, and technical specifications for SRE teams in Jira and/or Azure DevOps.
  • Develop training materials and conduct training sessions for stakeholders to promote understanding of SRE practices and tools.

Continuous Improvement:

  • Stay up to date with industry trends and best practices related to site reliability engineering, data analysis, and process improvement.
  • Participate in continuous improvement efforts, contributing to a culture of learning and innovation within the SRE team.

Basic Qualifications

  • Requires BS degree in IT, software development, or related technical domain and 3–5 years as a Business Analyst within a technical or software engineering environment.
  • Currently possesses an active DoD Secret security clearance.
  • Certification in Scaled Agile Framework (SAFe) Scrum Master or similar Scrum Master certification and related Agile field.
  • Experience with Agile and Scrum methodologies and tools like Jira, Confluence, or Azure DevOps.
  • Strong understanding of site reliability engineering or DevSecOps principles, practices, and methodologies.
  • Familiarity with monitoring and observability tools used in SRE.
  • Strong analytical and problem-solving skills, with the ability to synthesize complex information and provide actionable insights.
  • Ability to evaluate and prioritize business needs and align them with technical capabilities.
  • Skilled at working with geographically distributed teams.
  • Excellent communication skills, both written and verbal, with the ability to convey technical concepts to non-technical stakeholders.
  • Proven ability to collaborate effectively with cross-functional teams and build strong relationships with stakeholders.
  • Knowledge of Agile and DevSecOps/SRE concepts and best practices, with a desire to grow that knowledge.
  • Hands-on experience with Atlassian products (Jira, Confluence, Bitbucket, etc.).
  • Knowledge of the Risk Management Framework (RMF), DISA STIGs.

Preferred Qualifications

  • Experience in the software development lifecycle (SDLC) and understanding of DevOps practices.
  • Knowledge of incident management and service reliability best practices.

Key Metrics of Success for the Team

  • Improved system reliability, as measured by adherence to Service Level Objectives (SLOs) and reduced Mean Time to Recovery (MTTR).
  • Comprehensive and regularly updated automated test coverage for all critical systems and infrastructure components.
  • Timely identification and resolution of performance bottlenecks and failure points.
  • Increased scalability and performance of systems under high load due to effective performance testing.

NGEN

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

November 5, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $73,450.00 - $132,775.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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