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4 дня назад

Software Engineer, Associate - NASA

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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