Platform Engineer

Lightning Labs develops open-source software and non-custodial financial services that power faster, lower-cost Bitcoin payments over the Lightning Network.

Series B0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

San Francisco, California, United States
About Lightning Labs

Lightning Labs is a software company building infrastructure for the Bitcoin Lightning Network. Its product stack includes Lightning Network node software, Taproot Assets, liquidity marketplaces, and non-custodial on-chain/off-chain liquidity services for developers, businesses, and node operators.

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Skills

About the Role

You will bring a pragmatic DevOps mindset to help improve the developer experience at Lightning Labs. You'll manage cloud and cluster technologies, operate stateful backend services including databases and Bitcoin/Lightning Network nodes, use observability tooling, harden platform security, and partner with development teams on Helm charts, cloud resources, and the Kubernetes lifecycle.

Requirements

  • Strong foundations in Linux, networking, security, cloud, and infrastructure as code
  • Experience managing and troubleshooting Kubernetes clusters in production
  • Experience operating and extending observability tools
  • Experience in a systems programming language such as Go, Python, or Rust
  • Preferred: GitOps, DevSecOps, and service mesh experience
  • Preferred: PostgreSQL and etcd database administration
  • Preferred: knowledge of Bitcoin and the Lightning Network
  • Preferred: familiarity contributing to open source projects

Responsibilities

  • Manage the underlying cloud and cluster technologies that compose the internal platform
  • Manage stateful backend services such as databases and Bitcoin/LN nodes
  • Utilize, operate, and extend observability tools including logging, monitoring, and tracing
  • Improve platform robustness and security using operators and overlay networks
  • Advise and assist development teams with Helm charts, cloud resources, and the Kubernetes lifecycle