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.
Responsibilities
- 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 Dev
- Ops and infrastructure-as-code tools.
- Document architectures, interfaces, and operational procedures in accordance with APL and sponsor standards.
Required Skills
- Systems engineering
- Data platform architecture
- ETL and data pipelines
- SQL and No
- SQL 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)