Site Reliability Engineer
Planet LabsCanada, RemotePosted 19 March 2026
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:
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 rolled into one.
In this role, you will join Planet's Direct Access Service Infrastructure team, directly contributing to our next-generation Constellation as a Service platform. This platform represents a major new offering to our customers that goes beyond traditional cloud-based platforms and supports on-premises deployments.
You will be responsible for building, deploying, and operating critical compute software that supports end-to-end imaging operations within customer on-premises and/or cloud environments. You will use your understanding of internal compute requirements as well as customers' environmental-specific constraints to help design, implement, and support a robust system for reproducible deployments across operating environments, to guarantee the reliability, scalability, and availability of our services. To do this, you will partner closely with cross-functional engineering teams to enable and empower the integration of software solutions and the troubleshooting of distributed systems.
This is a full-time, remote position based in the United States and Canada. If located near an office, you are expected to work from that office 3 days per week.
Impact You'll Own:
Build and deploy computing services and infrastructure in customer environments for a next-generation satellite operations and image processing end-to-end platform
Operate in a high-impact, tight knit team to architect novel systems for air-gapped deployments at scale
Clarify and surface requirements from ambiguous use cases defined by cross-functional stakeholders, including internal users and external customers
Responsible for operations such as deployments, service orchestration, and documentation for cross platform stakeholders
Scale architecture while ensuring availability of services
Improve reliability and scalability by resolving edge cases, studying failure modes, and writing tests
Participate in on-call rotations to ensure operational excellence
What You Bring:
Bachelor’s degree in Computer Science or similar
10+ years of experience building services that leverage cloud-native infrastructure and tooling
Experience deploying and maintaining bare-metal and cloud kubernetes through tools such as Talos, RKE2, Proxmox, or k3s
Proficiency with Terraform, Ansible, Helm, Kustomize, and/or similar IaC / GitOps tooling
Experience successfully building, releasing, and supporting highly available, consis ... (truncated, view full listing at source)
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