Build the Future of Aviation Through Next-Generation Test AutomationThis Jobot Job is hosted by: Ben Koester
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Salary: $150,000 - $150,000 per year
A bit about us:oin a mission-critical aviation technology program supporting the modernization of flight services and automation capabilities across Alaska. This initiative focuses on delivering reliable, secure, and scalable cloud-native software solutions that support critical aviation operations.
You'll collaborate with experienced engineering and technical teams in an Agile environment, helping advance automated testing capabilities, improve software quality, and introduce AI-driven testing solutions. This is an opportunity to contribute to a high-impact government technology program while working with modern cloud platforms, automation frameworks, and emerging AI tools.
Why join us?Mission-Critical Technology: Support a major aviation technology program with meaningful operational impact.
Modern Technology Stack: Work with AWS, Kubernetes, Java microservices, and cloud-native applications.
AI Innovation: Help lead the adoption of AI-driven test-script generation and automation.
Technical Leadership: Opportunities ranging from independent engineering contributions to enterprise-level QA architecture and technical team leadership.
Collaborative Environment: Work alongside integrated engineering and development teams using Scaled Agile Framework (SAFe).
Hybrid Flexibility: Hybrid work environment based in Gaithersburg, Maryland.
Career Growth: Exposure to advanced automation, cloud infrastructure, security compliance, and government technology environments.
Job DetailsWe are seeking experienced QA / Test Engineers at the T3, T4, and T5 levels to develop, implement, and maintain quality assurance systems and automated testing methodologies for cloud-native software products.
The ideal candidates will have strong experience building automated testing frameworks, integrating testing into CI/CD pipelines, and validating Java-based microservices across cloud and containerized environments. A key focus of this program is implementing AI-driven capabilities to generate, maintain, and improve automated test scripts.
Depending on experience and level, individuals will work independently, lead multiple technical testing areas, or provide strategic QA architecture and technical leadership.
Key Responsibilities
- Develop, implement, and maintain QA standards, testing methodologies, and quality control systems for cloud-native software applications.
- Build and maintain automated testing frameworks integrated directly into CI/CD pipelines.
- Implement automated unit, integration, and end-to-end testing strategies.
- Lead or support AI-driven test-script generation and maintenance using emerging AI tools.
- Perform feature testing of Java-based microservices deployed across Amazon ECS, Amazon EKS, and Red Hat OpenShift environments.
- Validate application functionality and environments across Development, Test, and Operations.
- Develop and execute REST API, contract, performance, and integration testing.
- Integrate security testing and scanning tools, including SAST and DAST, into automated testing processes.
- Validate security controls and compile testing evidence supporting Continuous Monitoring (ConMon) and Authorization to Operate (ATO) requirements.
- Develop and maintain containerized and Kubernetes-based testing harnesses.
- Collaborate with software developers, DevOps engineers, security teams, and program stakeholders within a SAFe Agile environment.
- Identify software defects, document findings, and work with development teams to resolve quality issues.
- Establish scalable testing practices that improve application reliability, security, and overall software delivery.
Qualifications
- Experience in software quality assurance, software testing, and automated test engineering.
- Hands-on experience developing and maintaining automated testing frameworks.
- Experience integrating automated testing into CI/CD build pipelines.
- Experience with unit, integration, API, and end-to-end testing.
- Familiarity with Java-based application environments and microservices architecture.
- Experience with cloud-native application testing and containerized environments.
- Knowledge of automated testing tools such as:
- Playwright
- JUnit / TestNG
- REST API and contract testing tools
- Performance testing frameworks
- Experience with security testing, including SAST/DAST scanning and control validation.
- Understanding of Agile software development methodologies; SAFe experience preferred.
- Strong analytical, troubleshooting, communication, and collaboration skills.
Preferred Qualifications
- Hands-on experience testing microservices deployed across Amazon ECS, Amazon EKS, and Red Hat OpenShift.
- Experience testing and validating applications within AWS GovCloud environments.
- Experience developing automated test harnesses for containerized and Kubernetes-based applications.
- Experience with AI-powered test-script generation, automation, and maintenance.
- Familiarity with continuous monitoring, security compliance, and ATO requirements.
- Experience working within integrated government contractor and subcontractor development teams.
- Strong familiarity with the Java ecosystem.
Available Experience Levels
T3 - Mid/Senior QA / Test Engineer
- Works independently to develop and execute automated testing strategies.
- Builds and maintains automated test scripts and frameworks.
- Supports feature, integration, and cloud-native application testing.
T4 - Lead QA / Test Engineer
- Leads testing efforts across multiple technical areas.
- Establishes testing standards and automation practices.
- Coordinates testing activities across engineering and development teams.
- Provides technical guidance and supports implementation of AI-driven test automation.
T5 - Principal QA Engineer / QA Architect
- Provides strategic direction for enterprise-level QA architecture and automation.
- Leads program-wide AI-driven test-script generation capabilities.
- Establishes scalable testing standards and methodologies.
- Provides technical leadership and guidance to QA engineering staff.
Position Details
- Program: Leidos Flight Service Program - Alaska Automation Capability (AAC)
- Location: Gaithersburg, MD
- Work Arrangement: Hybrid
- Openings: Approximately 2
- Experience Levels: T3, T4, and T5
- Methodology: Scaled Agile Framework (SAFe)
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
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