Software Engineer, Associate – NASA

Overview

We are representing a confidential aerospace technology organization supporting a major federal earth science program. Our client needs an Associate Software Engineer to join their distributed Agile team working on large-scale scientific data discovery and metadata systems. You'll build full-stack tools that help researchers and students access critical environmental datasets. This role is remote with quarterly travel to the Mid-Atlantic region.

Responsibilities

• Participate in the complete software development lifecycle including user story creation, design, development, automated testing, and production support
• Build and deploy features for cloud-based search and data management platforms serving the scientific community
• Develop front-end interfaces and back-end services in a modern microservices architecture
• Lead deployment of product updates and identify production issues in distributed systems
• Contribute new feature ideas based on evolving end-user needs
• Share knowledge and industry best practices to help the team grow
• Recommend process and tooling improvements to increase team efficiency
• Collaborate in Agile ceremonies and sprint planning (quarterly on-site sessions required)

What We're Looking For

Required:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field
• 0–3 years of software development experience
• Hands-on experience with cloud platforms (AWS preferred): EC2, Lambda, S3, RDS, API Gateway
• Proficiency in TypeScript, JavaScript (Node.js/React), and Python
• Working knowledge of Elasticsearch for search and data operations
• Strong foundation in Agile/Scrum practices and tools such as Jira, Confluence, Bitbucket
• Experience with automated testing, CI/CD pipelines, and modern development lifecycle practices

Desired:

• Familiarity with geospatial data formats and tools (GeoJSON, KML, mapping libraries)
• Exposure to machine learning or AI concepts
• Experience with Docker and Kubernetes
• Knowledge of monitoring platforms like CloudWatch, Datadog, or Prometheus
• Strong debugging skills in large-scale distributed environments
• Prior speaking experience at technical conferences or leading internal knowledge sessions

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and career goals. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the hiring organization directly—we coordinate all communication and scheduling on your behalf to ensure a smooth process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

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