Software Engineer, Compute Team

Planet

1d•$127,000 - $180,600•Remote

About The Position

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'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.

Requirements

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

Nice To Haves

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.

Responsibilities

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