Principal Engineer, DevOps

About this job

As a Principal Engineer for DevOps at Plane, you will lead the operational architecture and infrastructure for an adaptable work management platform used worldwide. Plane builds infrastructure for both human teams and AI agents, operating across cloud environments, sovereign setups, customer infrastructure, and air-gapped networks. In this role, you will design and manage systems that make deployment reliable, secure, and automated at scale. A normal day involves overseeing AWS and Kubernetes infrastructure, building CI/CD and GitOps pipelines, managing databases like Postgres and Redis, driving cost and performance optimization, securing enterprise systems, and supporting complex deployments across diverse customer environments.

Responsibilities

• Own and operate scalable, fault-tolerant distributed software across cloud and self-hosted environments.
• Manage cloud infrastructure on AWS and automate deployments across various platforms.
• Design infrastructure using Terraform, Ansible, GitOps, and CI/CD pipelines.
• Maintain incident management, disaster recovery, production reliability, and database migrations.
• Define and strengthen infrastructure security, compliance, vulnerability management, and data governance.
• Drive performance optimization and cost efficiency while improving the developer experience.

Requirements

• 10+ years of experience in DevOps, SRE, platform, or infrastructure engineering with production ownership.
• Hands-on experience running AWS, Kubernetes, and Docker in production environments.
• Experience managing infrastructure as code with Terraform and Ansible.
• Shipped changes through CI/CD and GitOps using Argo CD.
• Experience supporting enterprise software across multiple clouds and air-gapped environments.
• Managed production Postgres and Redis clusters and data migrations.
• Proficiency in writing Python and Bash scripts.

Good to have

• Experience with bare-metal deployments and restricted enterprise environments.
• Background in deploying and operating open-weight AI models on-premise or in public clouds.
• Familiarity with serverless architectures and sandboxed execution environments.
• Experience building infrastructure for AI agents or operating under strict compliance and sovereign-cloud requirements.

Who should apply

This role suits seasoned infrastructure and DevOps professionals who have at least ten years of experience building and owning production systems at scale. Candidates should have deep expertise with AWS, Kubernetes, Terraform, and managing complex enterprise setups spanning traditional clouds and air-gapped environments. If you enjoy solving challenging operational constraints, care about both developer experience and unglamorous reliability details, and want to help build the foundational infrastructure for a future where humans and AI agents work together, this position is an ideal fit.

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