Johns Hopkins Applied Physics Laboratory (APL) seeks a Systems Engineer for Data & Analysis Infrastructure to design, build, and sustain secure, scalable data platforms that power mission-critical research in national security, space, and health. You will architect and integrate data pipelines, storage, and analytics environments; collaborate with multidisciplinary teams to translate mission needs into resilient systems; and apply automation, monitoring, and optimization to ensure high performance and reliability. Join APL’s mission-driven, collaborative culture with strong support for innovation and professional growth. Design, implement, and maintain secure, scalable data and analytics infrastructure to support research and mission programs. Integrate data sources, pipelines, and storage solutions to enable advanced modeling, simulation, and analytics. Collaborate with researchers, engineers, and analysts to translate mission needs into technical system requirements. Monitor, optimize, and troubleshoot system performance, reliability, and security in production environments. Automate deployment, configuration, and monitoring using modern DevOps and infrastructure-as-code tools. Document architectures, interfaces, and operational procedures in accordance with APL and sponsor standards. Systems engineering Data platform architecture ETL and data pipelines SQL and NoSQL databases Cloud platforms (AWS/Azure/GCP) Linux administration Networking and security fundamentals Infrastructure as Code (e.g., Terraform, Ansible) Monitoring and observability tools Scripting (Python, Bash or similar) Medical Insurance Dental Insurance Vision Insurance Life Insurance 401k Certified Systems Engineering Professional (CSEP) AWS Certified Solutions Architect or equivalent cloud certification Security or CISSP (for work on national security projects) Experience with DoD or government security and compliance standards
