Job Description
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
The Test Engineer is responsible for planning, developing, executing, and automating testing activities across software applications, middleware, and underlying infrastructure deployed within High-Performance Computing (HPC) environments. This role plays a critical part in validating system requirements to ensure the reliability, scalability, performance, security, and operational readiness of complex, mission-critical HPC platforms. Operating as a key technical contributor within multidisciplinary engineering squads, the engineer will build end-to-end test harnesses, validate RESTful microservices, integrate testing into automated CI/CD pipelines, and systematically diagnose defects across distributed Linux architectures.
The annual base salary range for this role is $178,000-$210,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Required Skills
QA & Test Lifecycle Management: 3+ years of professional experience in software testing, quality assurance, system validation, and formal defect tracking/resolution lifecycles.
HPC System Testing: Demonstrated experience authoring and executing test plans tailored specifically to applications, middleware, and infrastructure deployed in High-Performance Computing (HPC) environments.
API Testing & Integration: Proven experience validating, mocking, and integrating REST APIs interfacing with backend computational services and middleware.
Linux Systems Mastery: Strong foundation in Linux system administration fundamentals with advanced proficiency operating in the Linux CLI and utilizing standard system diagnostic/inspection tools.
Scripting & Test Automation: Proficient in developing automated test solutions, custom harnesses, and automation scripts using Python and Bash.
Containers & Orchestration: Direct experience building, running, and testing applications inside containerized environments using Docker and/or Podman.
CI/CD & Source Control: Practical experience applying CI/CD principles and integrating automated test stages into GitLab CI, utilizing Git for distributed version control
Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 8+ years of specialized data analytics or financial intelligence experience OR High School Diploma / GED, PLUS 12+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.
Desired Skills
Atlassian Ecosystem: Hands-on experience utilizing Jira for backlog tracking, bug triage, and issue lifecycle management, alongside Confluence for formal test documentation and reporting.
Machine Data & Observability: Familiarity with Splunk (or equivalent SIEM/log aggregation tools) for searching, querying, and analyzing machine-generated logs during failure analysis.
Infrastructure as Code (IaC): Familiarity with IaC principles and automation/configuration management tools such as Ansible to stand up and tear down reproducible test nodes.
Agile Frameworks: Working knowledge of Scaled Agile Framework (SAFe) principles, methodologies, ceremonies, and continuous delivery pipelines.
