About this role
Developing and deploying imagery access and analysis capabilities forms the core of daily engineering work at Planet. The platform teams build and operate systems that allow customers to browse data catalogs, stream data via tile services, and orchestrate geospatial analysis on major cloud platforms like Google Cloud.
Engineers joining the team will build, deploy, and maintain performant distributed large-scale services and highly available APIs in Go, Java, and Python. The company manages the largest constellation of imaging satellites in history, requiring robust systems that process vast amounts of empirical data. Success in the role requires strong collaborative communication to build coworker relationships across international time zones, adherence to site reliability engineering principles, and the ability to work from the Berlin office three days per week in a hybrid setup.
What you will do
- Build, deploy, and maintain performant, distributed large-scale services and highly available APIs using Go, Java, or Python.
- Collaborate closely with engineers and cross-functional product managers to align engineering goals and product objectives.
- Write high-quality, maintainable, observable, and well-documented production code while participating in regular code reviews.
- Utilize AI tooling throughout the development lifecycle and hold AI-assisted work to the same standard as manually written code.
- Take ownership of service operations by embracing site reliability engineering culture, measuring performance, and load testing.
- Create and fine-tune alerts, dashboards, and runbooks while actively responding to incidents as part of a rapid response on-call rotation.
What you need
- Bring at least 4 years of professional experience in software development within a production environment.
- Hold a bachelor's degree in a technical field such as computer science or geosciences, or possess equivalent practical experience.
- Demonstrate a solid understanding of software engineering best practices, design methodologies, and Git workflows.
- Possess familiarity with major cloud platforms such as Google Cloud or AWS, alongside Docker and Kubernetes.
- Have experience working with diverse data storage systems including relational databases, document stores, and key-value stores.
Nice to have
- Familiarity with geospatial concepts, standards, GeoTIFFs, GeoJSON, and STAC
- Familiarity with remotely sensed products and associated metadata like 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 opportunities
Skills and tech stack
Questions candidates ask
What is the remote work and office policy for this position?
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 salary range offered for this role?
The expected starting gross salary range for this role in Germany is €60.900 to €76.100 EUR. Individual placement is determined objectively based on gender-neutral criteria such as skills, qualifications, and professional experience.
What technologies and cloud platforms will I be working with?
The tech stack includes Go, Python, Java, Postgres, and Kubernetes deployed on major cloud platforms like Google Cloud and AWS. Engineers also use AI tooling throughout the development lifecycle.
How are applications reviewed and processed?
Applications are reviewed on a rolling basis. The posting may be removed earlier than projected if a suitable pool of applications has been received.