Job description

Welcome to Planet. We believe in using space to help life on Earth. 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 world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The Storage team at Planet builds and expands the core object and metadata storage platform that underpins the company's data infrastructure. The platform provides a horizontally scalable architecture that lets teams across the organization focus on what they do best while Storage handles data lifecycle, indexing, search, and all day-2 operations of managing a datastore at scale. Planet's constellation captures petabytes of imagery that powers everything from climate monitoring to disaster response and precision agriculture — and the Storage team makes sure that data is reliably stored, discoverable, and accessible. We're looking for a Senior Software Engineer to help evolve this platform. You'll work across the stack — from object storage and metadata indexing to event notification and disaster recovery — on complex systems that operate at massive scale. The ideal candidate acts as an advisor to others, brings specialized depth of expertise, applies broad knowledge of engineering principles, and strengthens the team through technical analysis and collaboration. This is a full-time, remote position based in the United States or Canada. If located near an office, you are expected to work from that office 3 days per week. Impact You'll Own: Build and maintain systems that provide efficient access to new and growing data sets Extend and improve services for internal data search and image processing Operate and tune Elasticsearch indexing for core data sets Full service ownership by measuring performance, creating alerts, being on call, and responding to incidents and performance anomalies Determine methods and procedures on new assignments, evaluating variable factors to deliver complex solutions Act as an advisor to others and lead project teams or oversee assignments of lower-level engineers Contribute to the technical roadmap and help shape the architectural direction of the team's systems Participate in design reviews and help drive alignment on technical decisions What You Bring: 6–8 years of software engineering experience Demonstrated software development experience in Go, Python, or similar modern languages building production backend services and APIs Fluency with AI-assisted development tools (e.g. Claude, Copilot) as part of your daily engineering workflow Experience monitoring and operating highly scalable cloud-native software Experience with relational datastores (PostgreSQL or MySQL) and non-relational datastores (e.g. BigTable, Elasticsearch) and an understanding of when to use each Experience building, releasing, and supporting highly available, consistently performant services Excellent communication skills and an ability to work well in a remote setting Experience improving codebases, documentation, and team practices through regular contributions beyond feature work Experience exercising judgment in selecting methods and adapting complex techniques for obtaining results Ability to advise team members on complex technical matters and adapt communication styles for key contacts Ability to analyze complex issues and provide in-depth technical evaluation for distributed backend services What Makes You Stand Out: 6+ years of Go development experience building production backend services 6+ years of Python development experience building customer-facing APIs Experience maintaining infrastructure with Kubernetes and Terraform Experience building services that leverage cloud-based infrastructure and tooling such as AWS or GCP Experience working with geospatial data before, even tangentially Application Deadline: 11:45pm PT on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Comprehensive Medical, Dental, and Vision plans Health Savings Account (HSA) with a company contribution Generous Paid Time Off in addition to holidays and company-wide days off 16 Weeks of Paid Parental Leave Wellness Program and Employee Assistance Program (EAP) Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Commuter Benefits (if local to an office) Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. #LI-REMOTE US National Salary Range $142,800 — $178,500 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: 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 : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. 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.

Requirements

Must-haves

Welcome to Planet. We believe in using space to help life on Earth.
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.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role:
This is a full-time, remote position based in the United States or Canada. If located near an office, you are expected to work from that office 3 days per week.
Build and maintain systems that provide efficient access to new and growing data sets
Extend and improve services for internal data search and image processing
Operate and tune Elasticsearch indexing for core data sets
Full service ownership by measuring performance, creating alerts, being on call, and responding to incidents and performance anomalies
Determine methods and procedures on new assignments, evaluating variable factors to deliver complex solutions
Act as an advisor to others and lead project teams or oversee assignments of lower-level engineers
Contribute to the technical roadmap and help shape the architectural direction of the team's systems
Participate in design reviews and help drive alignment on technical decisions
6–8 years of software engineering experience
Demonstrated software development experience in Go, Python, or similar modern languages building production backend services and APIs
Fluency with AI-assisted development tools (e.g. Claude, Copilot) as part of your daily engineering workflow
Experience monitoring and operating highly scalable cloud-native software
Experience with relational datastores (PostgreSQL or MySQL) and non-relational datastores (e.g. BigTable, Elasticsearch) and an understanding of when to use each
Experience building, releasing, and supporting highly available, consistently performant services
Excellent communication skills and an ability to work well in a remote setting
Experience improving codebases, documentation, and team practices through regular contributions beyond feature work
Experience exercising judgment in selecting methods and adapting complex techniques for obtaining results
Ability to advise team members on complex technical matters and adapt communication styles for key contacts
Ability to analyze complex issues and provide in-depth technical evaluation for distributed backend services

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gopythonaikubernetesawsgcp

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave

Wellness