Senior Test & Validation Engineer

Nyla Technology Solutions; Corridor North (MD); On-site; USD 178,000 - 210,000; Full time

Job summary

Nyla Technology Solutions is seeking a Test Engineer to plan, develop, and automate testing across software, middleware, and HPC infrastructure, ensuring reliability, scalability, and security of mission-critical platforms.

You will build end-to-end test harnesses, validate RESTful microservices, integrate testing into CI/CD pipelines, and diagnose defects across distributed Linux environments.

Qualifications

• 3+ years of professional software testing, QA, and defect-tracking lifecycles.
• Experience authoring and executing test plans for HPC applications and infrastructure.
• Proven API testing, mocking, and REST API validation.
• Strong Linux CLI and system-diagnostic tooling skills.
• Scripting and automation using Python and Bash.
• Experience building and testing containers (Docker/Podman).
• CI/CD experience with GitLab CI and Git-based workflows.
• Education options: Bachelor’s with 8+ years data analytics/intelligence or HS diploma with 12+ years intelligence/data experience.

Responsibilities

• Plan, develop, execute, and automate testing across software, middleware, and HPC infrastructure.
• Build end-to-end test harnesses and validate RESTful microservices.
• Integrate automated testing into CI/CD pipelines (GitLab CI).
• Diagnose defects across distributed Linux architectures.
• Ensure reliability, scalability, performance, and security of HPC platforms.

Skills

QA & Test Lifecycle

HPC System Testing

API Testing

Linux CLI

Scripting (Python & Bash)

Containers (Docker/Podman)

CI/CD (GitLab CI)

Git Version Control

Education

Bachelor’s Degree + 8+ years experience

High School Diploma + 12+ years experience

Tools

Jira

Confluence

Splunk

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.