Senior Full-Stack Engineer, Geospatial Platform (Remote)

Planetlabs

United States

Remote

USD 143,000 - 179,000

Full time

9 days ago

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Benefits offered by this job

Medical/Dental/Vision plans
HSA with company contribution
Generous PTO and holidays

Job summary

Planet is seeking a full-time, remote US-based Senior Full-Stack Engineer to build robust systems and integrate with federal partners. You will own the end-to-end engineering lifecycle for a global monitoring application, champion scalable backend and frontend architectures, and deliver features that enable rapid access to geospatial datasets.

The role requires 6-8 years of experience, proficiency in Golang, Python, PostgreSQL, React, and IaC, plus experience with cloud and monitoring tools.

Qualifications

  • 6-8 years industry experience.
  • Fluency in Golang, Python, & Postgresql or related technologies.
  • Full stack application development experience (Database, Services, Web).
  • Experience building frontend applications in React.
  • Experience with maintaining infrastructure-in-code.
  • Experience with logging, alerting, and monitoring tools to support system quality.

Responsibilities

  • Participate in the entire engineering lifecycle, from concept to implementation.
  • Ownership of the quality and availability of mission systems.
  • Contribute to the improvement of our architecture, infrastructure, and processes.
  • Spearhead the design and development of scalable backend services and frontend applications.
  • Collaborate with cross-functional teams to integrate complex customer requirements into seamless features.

Skills

Golang
Python
PostgreSQL
Full stack
React
Infrastructure as Code
AWS
GCP
Monitoring

Tools

React
Databases

Job description

Planet is seeking a full-time, remote US-based Senior Full-Stack Engineer to build robust systems and integrate with federal partners. You will own the end-to-end engineering lifecycle for a global monitoring application, champion scalable backend and frontend architectures, and deliver features that enable rapid access to geospatial datasets.

The role requires 6-8 years of experience, proficiency in Golang, Python, PostgreSQL, React, and IaC, plus experience with cloud and monitoring tools.

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