4 дня назад
Software Engineer, Associate - NASA
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Associate - NASA (TypeScript/JavaScript/Python): Building and supporting NASA Earthdata Search and Common Metadata Repository tools for discovering, transforming, and improving Earth science data with an accent on full-stack development, cloud services, and search operations. Focus on developing scalable architecture, deploying product updates, automating testing, and supporting distributed systems in an Agile environment.
Location: Based out of Annapolis, Maryland, USA; remote/telework available with quarterly travel to Annapolis for three days for PI Planning
Company
provides science, engineering, data analytics, and technology services to government agencies.
What you will do
- Develop and support NASA Earthdata Search Client and Common Metadata Repository tools.
- Participate in the full software development lifecycle, from user story generation through design, development, automated testing, and operational support.
- Build tools that help scientists and students discover, transform, update, and improve Earth science data.
- Lead product update deployments, identify production issues, and help construct scalable architecture.
- Propose feature ideas, process improvements, and tooling enhancements while sharing industry best practices.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related discipline.
- 0–3 years of software development experience.
- Experience with cloud environments, preferably AWS services including EC2, Lambda, S3, RDS, and API Gateway.
- Proficiency with TypeScript, JavaScript, Node, React, and Python.
- Hands-on experience with Elasticsearch for search and data operations.
- Experience with automated testing, CI/CD pipelines, Agile/Scrum, and software development lifecycle practices.
Nice to have
- Experience with geospatial or GIS data formats and tools such as GeoJSON, KML, ArcGIS, or QGIS.
- Familiarity with machine learning and AI concepts.
- Experience with Docker and Kubernetes.
- Knowledge of CloudWatch, Datadog, or Prometheus.
- Experience with large-scale distributed systems or technical knowledge-sharing sessions.
Culture & Benefits
- Fast-paced Agile development environment.
- Nationwide medical, dental, and vision insurance.
- Life insurance and matching 401(k) contributions.
- Educational and training support.
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