$108K – $195KSeniorFull Time
This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Atlassian Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.
This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes.
Primary Responsibilities:
Architect, design, implement, and administer Atlassian tools including Jira and Confluence to support enterprise workflow, collaboration, and reporting needs.
Configure, customize, and maintain Atlassian tools including Jira, Confluence, Bitbucket, and related plugins.
Configure custom workflows, automation rules, plug-ins, and integrations to improve team productivity and system usability.
Design and implement workflows, dashboards, and automation to support Agile and SAFe processes.
Integrate Atlassian tools with DevSecOps pipelines, CI/CD tools, and enterprise systems .
Develop and maintain custom scripts, plugins, and integrations using Atlassian APIs and scripting tools.
Support configuration management, issue tracking, backlog management, and reporting across program teams.
Design and maintain dashboards and reporting solutions to provide visibility into program metrics, performance, and delivery status.
Collaborate with program management, engineering, and DevOps teams to align tooling with operational needs.
Support user onboarding, training, and troubleshooting for Atlassian tools.
Ensure system configurations align with security, compliance, and governance requirements.
Perform system administration tasks including upgrades, patching, and performance tuning of Atlassian environments.
Identify opportunities to automate processes and improve workflow efficiency.
Maintain documentation, configuration standards, and best practices for Atlassian tool usage.
Participate in SAFe ceremonies including PI Planning, backlog refinement, sprint reviews, and retrospectives.
Basic Qualifications:
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical discipline and 8 years of relevant experience OR Master’s degree in a related field and 6 years of relevant experience.
Minimum of 8 years of experience in systems engineering, software engineering, or a related field.
Experience administering and configuring Atlassian tools (Jira, Confluence, Bitbucket, etc.).
Experience designing workflows, dashboards, and automation within Jira and related platforms.
Experience integrating Atlassian tools with CI/CD pipelines and DevSecOps environments.
Experience with scripting or automation tools (e.g., Groovy, Python, REST APIs).
Proven experience in configuring custom workflows, automation rules, plug-ins, and integrations.
Strong understanding of user permissions, access controls, and system performance management.
Experience in monitoring platform health, performing upgrades, and maintaining system reliability and security.
Excellent troubleshooting and problem-solving skills.
Strong documentation skills for system configurations, workflows, and user guides.
Ability to collaborate with cross-functional teams and align solutions with organizational processes and governance requirements.
Preferred Qualifications:
Active Secret clearance.
Experience supporting Agile or SAFe frameworks.
Atlassian certifications (e.g., Jira Administrator, Atlassian Certified Professional).
Experience with cloud environments such as AWS GovCloud, SC2S AWS Secret Region Cloud, and C2S AWS Cloud.
Experience supporting Atlassian tools across multi-enclave DoD environments.
Experience integrating Atlassian tools with cloud platforms (AWS, Azure, or GCP).
Experience supporting large-scale Agile transformations or enterprise programs.
Familiarity with data visualization or reporting tools integrated with Atlassian platforms.
Familiarity with service ticket management systems such as ServiceNow.
Knowledge of AI/ML tools and services.
Experience in implementing and managing user support systems and services.
Strong understanding of access management mechanisms and procedures.
Experience in designing and implementing automation solutions and integrating modern tools such as AI chatbots.
Clearance Required:
No formal clearance is required at time of start but all applicants must be eligible to obtain a Secret security clearance upon employment.
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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.
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.
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.
