About this role
Planet needs software engineers who can build, deploy, and maintain distributed large-scale services and highly-available APIs that process satellite imagery and geospatial data. Platform teams create systems that allow customers to access data catalogs, stream tile services, and run geospatial analysis using cloud infrastructure.
Working as part of a distributed European and North American group, the incoming engineer writes observable production code in Go, Java, or Python, participates in code reviews, and utilizes AI tooling throughout development. Success in the role requires strong collaborative communication to build relationships across time zones, comfort with occasional team on-sites, and adherence to site reliability engineering practices including on-call rotations.
What you will do
- Build, deploy, and maintain performant, distributed large-scale services and highly-available APIs in Go, Java, and/or Python.
- Work closely with cross-functional engineers and product managers to align engineering goals and objectives.
- Write high-quality, maintainable, observable, and well-documented production code while participating in code reviews.
- Utilize AI tooling throughout the development lifecycle and hold AI-assisted work to high standards.
- Own the operation of APIs and services by embracing site reliability engineering culture and measuring performance.
- Participate in a rapid response on-call rotation to support internal and external services.
What you need
- Have at least 4 years of experience in software development within a production environment working with Python, Java, and/or Go.
- 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 and development methodologies.
- Exhibit excellent written and verbal communication skills for effective collaboration and engineering design proposals.
- Bring familiarity with major cloud platforms such as Google Cloud or AWS.
- Possess experience working with diverse data storage systems, Docker containers, Git, and deploying to Kubernetes.
Nice to have
- Familiarity with geospatial concepts and standards including 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
Skills and tech stack
Questions candidates ask
What is the remote work and office policy for this role?
This is a full-time, hybrid role which requires you to work from the Haarlem office 3 days per week. The broader team is distributed throughout Europe and North America and relies on clear asynchronous communication.
What is the compensation range for this position?
The expected starting gross salary range for this role in the Netherlands is €59.200 to €74.000 EUR. Individual placement within this range is determined objectively based on criteria such as skills, qualifications, and professional experience.
What technologies and tools will I be using?
You will develop and deploy imagery access and analysis capabilities using a tech stack that includes Go, Python, Java, Postgres, and Kubernetes on major cloud platforms like Google Cloud and AWS.
What are the expectations regarding on-call and reliability?
You will own the operation of APIs and services by embracing site reliability engineering culture, measuring performance, load testing, managing alerts and runbooks, and responding to incidents. This includes participating in a rapid response on-call rotation.