About the Role:Planet's satellite constellations image the world's surface every day, delivering raw images through hundreds of workflows to provide processed imagery, analysis, and insights to our customers. The Compute Team develops and operates the in-house distributed systems that ensure these workflows are reliably executed at vast scale 24x7. These systems enable new techniques to understand our changing world, especially as AI models enable a wider range of analyses. You will be responsible for the development and operation of these backend services using a tech stack consisting of Go, Python, and Kubernetes running on Google's Cloud. Ideal candidates are pragmatic software engineers who apply sound engineering principles and operational discipline to large backend data services.
This is a full-time, remote position based in the United States. If located near an office, you are expected to work from that office 3 days per week.
Impact You'll Own:- Spearheads the evolution of compute and data delivery services with an emphasis on scale and user requirements
- Collaborates to enable efficient and rapid access to our variety of new and growing data sets
- Improves reliability and scalability by resolving edge cases, studying failure modes, and writing tests
- Manages underlying persistence layers across Spanner, Redis, PostgreSQL and BigTable
- Owns the operation of these services by measuring performance, creating alerts, runbooks, and responding to incidents and performance anomalies
- Participates in an on-call rotation in support of our team's services
What You Bring:- 4+ years of relevant work experience building services in a language like Go or Python, and a clear interest in becoming an expert in both.
- Experience of cloud-native development - containerization, cloud services such as GCP/AWS
- Experience with a large shared codebase, continuous integration and deployment workflows, and tooling like GitLab CI
- Excellent interpersonal and communication skills, written and oral; can explain deeply technical topics to teammates and users
What Makes You Stand Out:- Experience with orchestration workflows (e.g., Temporal) and batch/queue processing for high-concurrency systems.
- Expertise in large-scale distributed systems, including data consistency tradeoffs and high-volume networking (e.g., Nginx/Envoy).
- Operational proficiency with Kubernetes, Terraform, ArgoCD, Crossplane, and Linux internals.
- Experience implementing observability tools like Prometheus and Grafana to monitor service performance.
- Experience working with geospatial data, remote sensing, and related domain concepts.
Application Deadline:September 17, 2026 at 11:59pm PT
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-REMOTENew York City + California Salary Range
$136,000-$170,000 USD
San Francisco Salary Range
$144,500-$180,600 USD
US National Salary Range
$127,000-$158,700 USD
San Francisco Fair Chance OrdinancePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
