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Planet designs, builds, and operates the largest constellation of imaging satellites in history, delivering petabytes of empirical data via a cloud-based platform to commercial, environmental, and humanitarian sectors. The Storage team builds and expands the core object and metadata storage platform underpinning the company's data infrastructure, providing horizontally scalable architecture for data lifecycle management, indexing, search, and day-2 operations at massive scale.
You'll join as a Senior Software Engineer to evolve this platform, working across the full stack from object storage and metadata indexing to event notification and disaster recovery. This role emphasizes technical depth and leadership: you'll act as an advisor to other engineers, lead project teams, and help shape the architectural direction of storage systems handling petabytes of satellite imagery.
Key responsibilities include building and maintaining systems for efficient data access, extending internal search and image processing services, operating and tuning Elasticsearch indexing, owning full service lifecycle (performance measurement, alerting, on-call, incident response), determining methods for complex assignments, leading lower-level engineers, contributing to technical roadmap, and driving alignment on architectural decisions through design reviews.
You bring 6–8 years of software engineering experience with demonstrated production backend development in Go, Python, or similar modern languages. You're fluent with AI-assisted development tools (Claude, Copilot), experienced monitoring and operating cloud-native software, and knowledgeable about relational (PostgreSQL, MySQL) and non-relational (BigTable, Elasticsearch) datastores. You've built, released, and supported highly available, consistently performant services, excel at remote collaboration, improve codebases and team practices beyond feature work, and can advise team members on complex technical matters.
Standout qualifications include 6+ years Go or Python experience, Kubernetes and Terraform infrastructure maintenance, AWS or GCP cloud experience, and prior work with geospatial data. This is a full-time remote position based in the US or Canada; if near an office, 3 days/week on-site is expected.
