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Planet seeks a Senior Infrastructure Solutions Engineer in Berlin to bridge Planet’s platform capabilities with engineering teams, delivering hands-on migrations and helping unblock complex infra challenges.
You will own end-to-end engagements, craft reusable tooling, and drive scalable, observable infrastructure across the fleet. This role emphasizes collaboration and practical engineering solutions in a fast-paced environment.
The ideal candidate is energized by other teams’ success: someone who would rather ship the thing that makes ten teams faster than own a system outright, and who does their best work in a room they don’t own, with people who are not yet convinced they need helpProficiency in software development using Go or PythonWorking knowledge of Google Cloud Platform (GCP) or other public cloud providers, including its compute, storage, quota, and capacity mode6+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering, including experience leading at least one cross-team project or migrationAbility to translate ambiguous requirements into structured, actionable engineering tasksDeep expertise with Kubernetes orchestration, including workload optimization and operationsHands-on experience operating and maintaining production infrastructure environmentsExperience with Infrastructure as Code (Terraform, Helm, ArgoCD) and CI/CD pipelinesBackground in technical enablement, developer experience, or solutions architecture with a focus on internal developer productivityExcellent written and verbal communication skills for technical documentation and cross-functional collaborationBachelor’s degree in a relevant fieldExperience driving large-scale migrations or deprecations that required buy-in from teams outside your reporting lineExperience with large-scale block storage (Persistent Disk, Hyperdisk, Ceph, SAN, or equivalent) operated at fleet scale rather than per-serviceExperience in a consulting-adjacent engineering role (solutions architecture, professional services, or technical account engineering) applied to an internal platformFamiliarity with workflow orchestration (e.g. Temporal), batch and job-execution systems, or large-scale data processing pipelinesExperience defining and measuring platform adoption: developer-productivity instrumentation, NPS, or internal marketshare