GD169 Senior Software Systems Engineer & Architect

Support•Greenbelt, MD

1d•Onsite

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 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.

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.
US Citizenship required.
Ability to obtain and maintain a Tier 1 Investigation through NASA.

Nice To Haves

Experience and expertise with container-based architectures Docker and Kubernetes.
Experience with AWS server-less services (Lambda, S3, DynamoDB, etc.) and managing resources through Infrastructure as Code (IaaC).
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.
Experience with frontend development (e.g., JavaScript/TypeScript, React).
Ability to work effectively in agile development environments, including Scrum and SAFe.

Responsibilities

Design, build and deploy a cloud infrastructure to host GES DISC data collections and services.
Technical development responsibilities including design, coding, testing, integration, and taking services to operations and delivery of applications based on infrastructure-as-code concepts.
Solve complex algorithm or data conversion problems with little or no oversight.
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.
Make effective presentations to large audiences at workshops and conferences.
Lead small projects from inception through execution.
Work in a multi-task environment.