AP107 HEASARC Scientific Cloud Platform Developer

At ADNET Systems, we know that our people are our greatest strength. As a services‑only company, we are committed to fostering an environment where talent thrives, careers grow, and contributions are valued. We believe in promoting from within, providing opportunities for professional development, and offering competitive compensation to ensure long‑term security. Our entrepreneurial culture encourages autonomy, accountability, and innovation—giving you the freedom to make a real impact. If you’re looking for a dynamic workplace that values your expertise and invests in your future, explore our career opportunities and take the next step with ADNET Systems. Benefits Military and Family Emergency Leave Paid Holidays Performance Bonuses Medical and Dental Plans Flexible spending accounts Direct Deposit Payroll 401K Plan with Company Matching and Immediate Vesting Short‑ and long‑term disability insurance Life and accident insurance Tuition Reimbursement In‑house Seminars/Workshops/Classes Note: If job listings do not appear immediately, please wait a moment and refresh the page once. We are currently experiencing intermittent issues with our recruiting provider. Position

AP107

HEASARC Scientific Cloud Platform Developer Location Greenbelt, MD Job Id AP107 # of Openings 1 The 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 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 #J-18808-Ljbffr ADNET Systems, Inc