Test Automation Engineer

This Test Engineering (TE) opportunity on the U.S. Navy’s Service Management, Integration, and Transport (SMIT) will allow participation on a high-visibility DoD program that provides engineering support to the Navy Marine Corps Intranet (NMCI), the largest information technology (IT) network in the world. This position will provide many opportunities to challenge and grow your skills as a Systems Engineer.

We are seeking a T2 Software Test Automation Engineer to operate with high autonomy in designing, expanding, and maintaining our robust automated testing frameworks. In this role, you will own the automation strategy for specific product features, configure automated test execution directly within CI/CD pipelines, and conduct code reviews to mentor junior staff. You will blend advanced software development skills with modern quality assurance methodologies to validate application functionality, performance, and security across front-end interfaces and RESTful APIs. Working closely with developers and product managers, you will catch defects early in the software development lifecycle and ensure overall system stability. The ideal candidate brings 3 to 5 years of professional automation experience, strong programming skills

Primary Responsibilities

• A successful candidate will be able to apply a basic working knowledge of the following Test Automation Framework tools including Robot Framework, Python, Pycharm, and GitHub. In addition, the candidate will use other tools such as GitLab, Jenkins, GitLab CI/CD, SonarQube, Bitbucket, Selenium, Junit, and Postman, as dictated by Leidos and the USN.

• The candidate will leverage and assist in the development of AI-Assisted Test Automation so that Leidos can differentiate themselves from the current as-is practices in this area.

• The candidate will also leverage Cameo to build test procedures, reference test procedures, and record test observations and conclusions within the Naval Enterprise Network (NEN) model.

• Lab Infrastructure & Hardware Setup: Perform hands-on assembly and configuration of lab environments. This includes setting up and troubleshooting laptops, desktop workstations, enterprise printers, and basic server racks.

• Monthly Image Validation: Lead the manual verification of monthly Windows OS image builds, ensuring stability, security compliance, and driver compatibility across different hardware models.

• Microsoft Stack & App Testing: Conduct deep-dive testing of Office 365 (Teams, Outlook, Excel) and enterprise browsers (Edge, Chrome) to ensure seamless performance in a managed environment.

• Virtualization & Remote Access: Validate application delivery and user experience through Citrix Workspace and Remote Desktop (RDP) tools.

• Test Automation (Preferred): Use Python and Robot Framework to develop and maintain scripts that assist in automating "smoke tests" for new builds and hardware configurations.

• Lifecycle Management: Manage the inventory of lab equipment and document all test results, hardware configurations, and defects using Azure DevOps (ADO) and GitHub.

• Hands-on Hardware Experience: Proven ability to set up, tear down, and troubleshoot physical hardware, including laptops, peripherals (printers/scanners), and basic server components.

• Windows Ecosystem Mastery: 3+ years of experience testing Windows OS, Office 365, and enterprise-grade software.

• Virtual Environments: Proficiency in testing and navigating Citrix Workspace and RDP sessions.

• Fast Learner (Programming): Practical knowledge of Python and a strong interest/preferred experience in Robot Framework for test orchestration.

• Operating Systems: Comfortable working in both Windows and Linux environments for system configuration and log analysis.

• Tools: Experience using GitHub for version control and Azure DevOps (ADO) for sprint tracking and test case management.

• Ability to work on-site in the Topside BSLN Test Lab to manage physical hardware.

• Ability to lift and move standard IT equipment (laptops, monitors, small servers).

• Collaborate and coordinate with external customers, management, subcontractors, vendors, and other engineering disciplines.

• Lead small size and low-complexity projects as requested by the Test Automation Lead.

Basic Qualifications

• Requires B.S. Degree and 2 to 4 years of prior relevant experience or M.S. with 0 to 2 years of prior relevant experience (in System Engineering, Software Engineering, or related engineering discipline) from an accredited college or university.
• Must be a U.S. Citizen and have a Secret clearance.

• Able to synthesize knowledge from multiple domains to apply to new, complicated problems.

• Experience in collaborating with other enterprise technologists both internal and external to resolve complex technical issues.

• Experience using Atlassian JIRA to define, schedule, and track work assignments within an engineering team.

• Must be able to work collaboratively and remotely in a team environment.

• Must be able to work with oversight to develop innovative automation approaches and optimizations.

• Some travel will be required as needed to travel to and from the Topside BSLN Lab.

Preferred Qualifications

• Experience with containerization (Docker/Kubernetes) for scaling test environments.

• Familiarity with AI-driven testing tools for object recognition in remote desktop sessions.

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:

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:

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.