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Salary: EUR 60,900 - 76,100 / annual
Planet designs, builds, and operates the largest constellation of imaging satellites in history, delivering empirical geospatial data via a cloud-based platform to commercial, environmental, and humanitarian sectors. The company controls every component of hardware design, manufacturing, data processing, and software engineering.
You will join the Platform teams, which build and operate systems enabling customers to access and analyze Planet's daily and high-resolution imagery and derived products like Basemaps. The platform allows customers to browse data catalogs, stream data via tile services, and orchestrate geospatial analysis.
As a contributing Software Engineer, you will develop and deploy imagery access and analysis capabilities using a tech stack including Go, Python, Java, PostgreSQL, and Kubernetes on major cloud platforms like Google Cloud. The team emphasizes scalable, observable systems leveraging open-source technologies and standards.
The team is distributed throughout Europe and North America and thrives on clear asynchronous communication. This is a full-time hybrid role requiring 3 days per week in one of Planet's offices (Berlin, Haarlem, or Ljubljana). You will work closely with engineers and product managers across cross-functional teams to align product and engineering goals.
Key responsibilities include: building, deploying, and maintaining performant, distributed large-scale services and highly-available APIs with strong emphasis on customer experience; writing high-quality, maintainable, observable, and well-documented production code; participating in code reviews; using AI tooling throughout the development lifecycle; learning and growing as a developer while mentoring teammates; owning the operation of APIs and services by embracing Site Reliability Engineering culture, measuring performance, load testing, creating alerts and dashboards, and responding to incidents; and participating in rapid response on-call rotation.
REQUIREMENTS:
- 4+ years of experience in software development within a production environment, preferably with Python, Java, and/or Go
- Bachelor's degree in a technical field such as Computer Science, Geosciences, or a related discipline, or equivalent practical experience
- Solid understanding of software engineering best practices and development methodologies
- Excellent teamwork and collaboration skills (written and verbal); comfortable writing engineering design proposals and soliciting feedback
- Familiarity with GCP or AWS
- Ability to learn new technologies quickly and independently, navigate uncertain and ambiguous problem spaces, and take calculated risks
- Experience working with diverse data storage systems such as relational databases, document stores, and key-value stores
- Excellent problem-solving, analytical, and communication skills
- Experience with Git, large codebases, reviewing merge requests, and running complex CI/CD pipelines
- Comfortable working with Docker containers
- Solid intuition of when AI is useful in software development
DESIRABLE:
- Familiarity with geospatial concepts and standards (GeoTIFFs, GeoJSON, STAC)
- Familiarity with remotely sensed products and associated metadata
- Experience with observability platforms such as Grafana
