Quick overview
Job description
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.
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