DevOps Engineering,
Company Description:
Argentys Informatics LLC is a Small Business that provides research data analysis, bioinformatics algorithm development, research application development, and healthcare information technology support to government and commercial clients. The company focuses on transforming complex scientific and health data into actionable insights and solutions. Built on strong subject matter expertise, Argentys collaborates closely with researchers and healthcare organizations to address real-world challenges. Its vision is to translate innovation into practical applications that improve research workflows, data management, and decision-making.
Role Description:
The Kubernetes DevOps Engineer will be responsible for designing, implementing, and maintaining containerized infrastructure and CI/CD pipelines that support research and healthcare IT applications on premises. Day-to-day tasks include managing on-prem Kubernetes clusters, automating deployment processes, monitoring system performance, and troubleshooting infrastructure issues across development, test, and production environments. The role involves collaborating with developers, data scientists, and project managers to ensure reliable, secure, and scalable platforms for analytics and applications. This is a full-time hybrid role based in the Washington DC–Baltimore Area, with a mix of on-site collaboration and some work-from-home flexibility. DevOps and automation skills, such as CI/CD pipeline configuration, infrastructure-as-code (e.g., Bash, Python).Cloud infrastructure experience with major providers (e.g., AWS, Azure, GCP), including networking, security, and resource management. System administration skills for Linux environments, including performance tuning, monitoring, and troubleshooting. Understanding of security and compliance practices, including container security, access control, and secure configuration management. Ability to collaborate effectively in cross-functional teams, communicate technical concepts clearly, and document infrastructure and processes. Bachelor's degree in Computer Science, Engineering, Information Technology, or related field, or equivalent practical experience. Experience supporting research, bioinformatics, or healthcare IT environments is beneficial.