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 systems that operate at massive scale. The ideal candidate works independently, takes ownership of technical direction, has experience building large-scale backend systems, and strengthens the team through engineering judgment and collaboration.
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.
• 10+ years of software engineering experience of which:
• 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 driving architectural decisions and guiding technical trade-offs across a team
• Experience supporting the growth of engineers around you through collaboration and knowledge sharing
• Ability to lead system design conversations for distributed backend services
• 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
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