AP107 HEASARC Scientific Cloud Platform DeveloperThe High-Energy Astrophysics Software Archive (HEASARC) at NASA's Goddard Space Flight Center (GSFC) seeks an experienced scientific systems developer/cloud engineer to fill a gap in our team. The first task is to develop and test ways of migrating some services to AWS, i.e., deploying complex, software- and CPU-heavy services on the cloud. The exploration includes both technical feasibility (software containerization, cloud data access, optimization, etc.) as well as cost. The second task is to support the Fornax science platform, which deploys a Jupyter stack on AWS. The HEASARC is responsible for the user's containerized software environment on this platform. This task includes developing and deploying JupyterLab extensions, installing 3rd party software, debugging existing interfaces, and solving issues that arise within the container or between the container and the AWS infrastructure (in collaboration with the cloud engineering team).
Required Qualifications:- Hands-on experience with software containerization (Docker, Kubernetes or equivalent) in a production or research computing environment
- Python and Bash scripting in Unix environments
- Practical AWS experience; compute, storage, and networking services (EC2, S3, EFS, or similar)
- Ability to evaluate technical feasibility and document trade-offs clearly for both engineering and program stakeholders
- Experience diagnosing problems that span application software, container configuration, and cloud infrastructure
- Strong version control and configuration management practices (Git)
- US Citizenship or Permanent Residency (LPR) required, with US residency for the past 3 consecutive years.
- Ability to obtain and maintain a Tier 1 Investigation through NASA.
Desired Qualifications:- JupyterLab extension development or Jupyter deployment configuration experience
- Familiarity with HEASARC tools or high-energy astrophysics data formats (HEASoft, FTOOLS, XSPEC, FITS)
- Experience developing or maintaining scientific data software or pipelines
- Background in research software engineering or scientific computing
- Familiarity with cloud cost modeling and optimization strategies
Some features of our compensation plans and environment perks include:
- Annual Leave/Sick Leave
- Military and Family Emergency Leave
- Paid Holidays
- Performance Bonuses
- Medical, Dental and Vision Plans
- Direct Deposit Payroll
- 401K Plan with Company Matching
- Tuition Reimbursement
- Swag bags
