Software Engineer/Architect

Responsibilities:
• Design, develop, and maintain Python-based automated test suites to validate infrastructure and
environment performance.
• Build tests and metrics to evaluate storage performance, including read/write throughput and
latency.
• Develop tests to measure network performance, including throughput and availability across
cloud and containerized environments.
• Create and execute tests to assess system resilience, including node availability, recovery behavior,
and scaling characteristics.
• Integrate test outputs into dashboards and performance metrics to provide clear visibility into
system health and behavior.
• Work in Linux environments using command-line tools to assess system and network
performance.
• Identify, integrate, and use free and open-source tools (FOSS) for infrastructure and performance
testing.
• Contribute to the design and implementation of scalable test frameworks that can be reused
across future internal research and development efforts.
• Collaborate closely with senior engineers who define overall architecture and technical direction
for the test framework and infrastructure.
• Support rapid prototyping in current environments with a clear path toward deployment in
larger-scale cloud and containerized environments.
• Apply an understanding of how services are accessed in networked and cloud environments,
including endpoints, nodes, and virtual versus non-virtual systems.

Essential Skills:
• Bachelor’s degree in Computer Science or a related field.
• At least 3 years of Python development experience.
• Experience writing automated tests or building test frameworks.
• Familiarity with cloud environments and distributed systems concepts.
• Understanding of containerization technologies such as Docker or similar tools.
• Experience working in Linux-based environments, including use of command-line tools.
• Ability to understand how services are accessed in networked and cloud environments, including
endpoints, nodes, and virtual versus non-virtual systems.
• Strong problem-solving skills and a demonstrated willingness to learn new tools and technologies.
• Eligibility for a US Secret Clearance, with at least an interim clearance required to start.

Additional Skills & Qualifications:
• Familiarity with Kubernetes, with no requirement to be a deep expert.
• Exposure to networking and storage concepts, including performance testing, throughput, and
latency.
• Experience building test tooling that integrates with or supports CI/CD pipelines.
• Basic knowledge of system performance monitoring and metrics.
• Experience creating dashboards or visualizations for system metrics and performance data.
• Experience with additional programming languages such as C or similar for future project
flexibility.