Why This Role Stands Out
This hybrid Systems Engineer role at Johns Hopkins APL offers a unique opportunity to build and sustain secure, scalable data platforms that directly impact national security and scientific advancement, fostering significant professional growth. You'll thrive here if you possess strong systems engineering and data platform architecture skills, enjoy collaborating with diverse teams, and are eager to leverage modern tools to solve complex challenges. Apply to contribute to critical missions within a supportive, innovation-driven environment.
Quick Overview
Job Description
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)
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