About this role
Developing and deploying imagery access and analysis capabilities forms the core of daily engineering work at Planet, where scalable systems serve customers browsing data catalogs, streaming tile services, and orchestrating geospatial analysis. Operating within distributed Platform teams across Europe and North America, engineers build and maintain performant large-scale services and highly-available APIs using Go, Python, Java, Postgres, and Kubernetes on major cloud platforms like Google Cloud. Success in the role requires strong collaborative communication across multiple time zones, adherence to Site Reliability Engineering culture, and a hybrid working arrangement from the Berlin office three days per week.
Team members design production code, participate in code reviews, utilize AI tooling throughout development, and share on-call rotation duties. Individuals who thrive here possess solid software engineering fundamentals, navigate ambiguous problem spaces independently, and embrace asynchronous communication to drive cross-functional alignment.
What you will do
- Build, deploy, and maintain performant, distributed large-scale services and highly-available APIs in Go, Java, and Python.
- Collaborate closely with engineers and product managers across cross-functional teams to align engineering goals.
- Write maintainable, observable production code and participate in code reviews to maintain high quality standards.
- Utilize AI tooling throughout the development lifecycle while holding AI-assisted work to rigorous standards.
- Own the operation of APIs and services by embracing Site Reliability Engineering culture, measuring performance, and responding to incidents.
- Participate in a rapid response on-call rotation to support internal and external services.
What you need
- Have at least 6 years of experience in software development within a production environment working with Python, Java, or Go.
- Possess a Bachelor’s degree in a technical field such as Computer Science, Geosciences, or a related discipline, or equivalent practical experience.
- Demonstrate a solid understanding of software engineering best practices, development methodologies, and Git workflows.
- Bring excellent written and verbal communication skills alongside experience writing engineering design proposals.
- Show familiarity with major cloud platforms such as GCP or AWS, Docker containers, and Kubernetes deployment.
- Have experience working with diverse data storage systems including relational databases, document stores, and key-value stores.
Nice to have
- Familiarity with geospatial concepts and standards including GeoTIFFs, GeoJSON, and STAC
- Familiarity with remotely sensed products and associated metadata such as ortho-rectified products
- Experience working with observability platforms such as Grafana
Benefits
- Paid time off including vacation, holidays, and company-wide days off
- Employee Wellness Program
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement and access to LinkedIn Learning
- Equity and Volunteering Paid Time Off
Skills and tech stack
Questions candidates ask
What is the remote work and office policy?
This is a full-time, hybrid role which will require you to work from the Berlin office 3 days per week. The broader team is distributed throughout Europe and North America and thrives on clear asynchronous communication.
What is the compensation range for this position?
The expected starting gross salary range for this role in Germany is €77.000 to €96.300 EUR. Individual placement is determined objectively based on skills, qualifications, and professional experience.
What technologies will I be working with?
The tech stack includes Go, Python, Java, Postgres, and Kubernetes on major cloud platforms like Google Cloud. Engineers also utilize AI tooling throughout the development lifecycle.
How are applications reviewed?
Applications are reviewed on a rolling basis. The posting may be removed earlier than projected if a suitable pool of applications has been received.