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Principal Software Engineer (Remote) - NASA

Posted 10 months agoViewed

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💎 Seniority level: Principal, 10 years

🔍 Industry: Earth Science, Cloud Computing

🗣️ Languages: English

⏳ Experience: 10 years

Requirements:
  • Bachelor's degree in a technical major, such as engineering or computer science, and 10 years of experience working in Cloud computing.
  • Expertise using JavaScript and/or TypeScript to develop performant, asynchronous business logic.
  • Expertise using Amazon Web Services (AWS) relational and big data services, including RDS and DynamoDB.
  • Advanced Knowledge of relationship databases and SQL.
  • Experience using Node.js to develop cloud-based solutions.
  • Experience authoring tests and developing testing strategies using an automated testing framework.
  • Experience developing solutions using Amazon Web Services (AWS) compute, serverless, and storage services such as EC2, Lambda, Step Functions, and S3.
  • Experience working in Lean Agile/Scrum methodologies.
  • Expert or mastery level knowledge of work area, typically obtained through advanced education combined with experience.
  • Deep knowledge of project management specifically the Agile delivery methodology.
Responsibilities:
  • Expanding and optimizing data flows.
  • Translating user requirements into clear, performant, well-tested code.
  • Reviewing team code contributions and mentoring less experienced developers.
  • Assisting team members and external users with technical questions/concerns via pair programming, asynchronous communication, or a mix.
  • Providing a thoughtful, meaningful contribution to architecture and other technical conversations.
  • Architecting database and data repository solutions to serve as a robust persistence layer for real-time and batch-oriented analytic processing.
  • Designing, building, automating, deploying, and supporting scalable data pipelines for extracting, transforming, and loading data into data warehouse solutions.
  • Analyzing complex datasets, detecting and visualizing trends and patterns, developing conclusions, and providing recommendations.
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