GD162 Senior Software Systems Engineer & Architect

ADNET Systems•Greenbelt, MD

12d

About The Position

At NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) we are committed to enabling scientific research by distributing over 1400 Earth Science data collections and providing useful tools to assist data analysis. We are currently looking for a cloud development engineer to help design, build and deploy a cloud infrastructure to host GES DISC data collections and services. The GES DISC Software Development Team work within a Data Center including a team of experts in Earth Science data informatics and Software Engineers to support a NASA Earth Science Data Center ( https://disc.gsfc.nasa.gov ) located in Greenbelt, MD. This position is for a Senior Software Systems Engineer and Architect to support the ongoing projects at the GES DISC. The successful candidate will have technical development responsibilities and help with design, coding, testing, integration and taking services to operations and delivery of applications based on infrastructure-as-code concepts. The ideal candidate must have experience and expertise with container-based architectures Docker and Kubernetes and with AWS server-less services (Lambda, S3, DynamoDB, etc.) and managing resources through Infrastructure as Code (IaaC). Additionally, the candidate is expected to have demonstrated technical experience and work history with: Strong experience architecting and developing scalable, elastic cloud systems leveraging serverless, microservices, and containerized architectures in AWS. Proficiency in backend development using Python and/or Node.js. Strong experience with Docker and container orchestration platforms (e.g., Kubernetes, Amazon EKS). Experience with Git and standard source-control workflows. Strong understanding of CI/CD pipelines and automated testing. Experience with infrastructure-as-code tools such as Terraform and AWS CloudFormation. Hands-on experience with Earth science or geospatial data formats such as NetCDF, HDF, or GeoTIFF. Hands-on experience supporting migration of on-premises systems or data workflows to AWS. Experience with Zarr and Dask for scalable, parallel, and cloud-based data processing Experience with the Jupyter ecosystem, including Jupyter Notebooks, JupyterHub, or JupyterLite, is a plus. Experience with frontend development (e.g., JavaScript/TypeScript, React) is a plus. Ability to work effectively in agile development environments, including Scrum and SAFe. The applicant is expected to solve complex algorithm or data conversion problems with little or no oversight and can respond effectively to science data user questions on technical and scientific issues, provide technical and scientific support in enhancing and extending data and information services and make effective presentations to large audiences at workshops and conferences.

Requirements

M.S./B.S. computer science, or in physical or earth sciences or related engineering or remote sensing experience
10+ years hands on programming and system design experience supporting satellite mission data
10+ years scientific programming experience and skill with use of languages such as (Python, Node.js, C/C++, or others) and data formats HDF/HDF-EOS , HDF5, netCDF4, GRIB, and related metadata
Programming and development in Unix/Linux server/cloud environment
Experience with code development, repository and management tools
Excellent inter-personal and communications skills
Motivated individual with a keen sense for problem solving and ability to work with little supervision and as part of a team
Experience leading small projects from inception through execution
Ability to work in a multi-task environment
US Citizenship required.
Ability to obtain and maintain a Tier 1 Investigation through NASA.

Nice To Haves

Experience with the Jupyter ecosystem, including Jupyter Notebooks, JupyterHub, or JupyterLite, is a plus.
Experience with frontend development (e.g., JavaScript/TypeScript, React) is a plus.