Backend Software Engineer (Hybrid)

About Planet

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely worldwide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role

We are looking for a Backend Software Engineer to help build the services that turn global satellite data into mission-critical intelligence. Our team owns the backend platform behind a next-generation monitoring product designed to provide near real-time observability of any location on Earth.

Our foundation includes environmental and agricultural monitoring, and we are evolving the platform into a scalable, reusable system. In this role, you will work on well-scoped tasks within a Java + Spring services monorepo, our Keycloak-based identity layer, and the supporting cloud infrastructure and CI/CD pipelines that keep everything shipping. You'll learn the domain hands-on, ship changes that go to production, and grow under the guidance of more senior engineers on the pod.

• Position Type: Full-time, Hybrid
• Location: Ljubljana office (Slovenia)
• Office Presence: Minimum 3 days per week

Impact You’ll Own

• Implement well-defined backend tasks and small features end-to-end, with guidance from your senior engineers.
• Develop and maintain backend services in our Java + Spring monorepo.
• Contribute to our identity & access management stack (Keycloak).
• Help keep our CI/CD pipelines, release automation, and supporting infrastructure (Pulumi, Docker, AWS, GCP) healthy.
• Write clean, tested code; participate in code reviews; document what you build.
• Communicate progress clearly, ask for help early, and grow your domain knowledge through hands-on work.

What You Bring

• Bachelor's degree in Computer Science (or equivalent), technical certification, or comparable practical experience (e.g. internship, working-student role, or personal projects).
• Working knowledge of at least one programming language — ideally a JVM language (Kotlin or Java) — and willingness to ramp up quickly.
• Familiarity with the basics: version control (Git), REST APIs, and SQL.
• Professional working proficiency in English, the language of the company.
• Curiosity and a desire to learn how real-world systems are built and operated.

What Makes You Stand Out

• Hands-on exposure to Spring or other JVM frameworks.
• Exposure to identity & access management concepts (OAuth2 / OIDC, Keycloak, SSO).
• Familiarity with cloud (AWS / GCP), Docker, or infrastructure-as-code tools.
• Experience leveraging AI tools (Copilot, Claude, ChatGPT) to learn faster and write better code.
• Experience in geospatial technologies, remote sensing, or agricultural monitoring.

Application Deadline

September 3, 2026 by 11:59p / 23:59 CET (Central European Time)

Benefits

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• 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
• Volunteering Paid Time Off

Equal Employment Opportunity & Belonging

Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.

Accommodations

Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

Privacy Policy

Planet Data Privacy Notice for California Staff Members and Applicants
Candidate Privacy Notice GDPR Planet Labs Europe

AI in Our Interviewing Process

Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.

Candidate AI Policy

Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.