Software Engineer/Architect

• 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.

• 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.