Automation Engineer

CloudLinux builds Linux infrastructure and security products. You will join our Automation & Management Services cell, working closely with Technical Program Manager to solve problems across teams and services: cloud-cost data, infrastructure inventory, network policies and capacity workflows.

Check out our website for more information https://cloudlinux.com/

We are looking for a Senior Automation Engineer to join the Infrastructure team. You will independently own agreed outcomes—from clarifying the need with engineering teams, Finance or Security to delivering and operating a useful system. The work includes new development, improvements, repairs and maintenance. There is no traditional on-call rotation; you respond to alerts from your own systems during working hours.

What you will do

• Turn an incomplete brief into an agreed result and workable plan. Track cross-team dependencies, explain tradeoffs, raise blockers early and communicate changes to estimates. Confirm completion with the users.
• Build maintainable software and cloud/infrastructure API integrations. Handle credentials, pagination, retries, partial failures and repeated execution so unattended workflows remain safe and reliable.
• Transform billing, usage and inventory data into repeatable outputs. Reconcile totals and periods, apply agreed allocation rules and make missing or uncertain mappings visible.
• Extend inventory, network-policy and capacity automation using existing systems. Retain necessary human decisions and verify the operational result.
• Deliver changes through version-controlled code and CI. Understand live state, test recovery and release safely; diagnose failures across code, Linux, APIs, data and networking.
• Own monitoring, actionable alerts, documentation and maintenance. Leave systems another engineer can operate, and use coding agents while remaining responsible for design, code, tests and outcomes.

Requirements

Must have

• Senior-level experience, typically 5+ years in software, infrastructure, platform or automation engineering. You can explain your own design decisions, implementation and operational results.
• Strong production Python, software design, testing, debugging and API integration skills. You can understand unfamiliar code and improve existing systems.
• Hands-on AWS experience and solid Linux/networking fundamentals, including diagnosis across host, service, network and cloud boundaries.
• Practical SQL and data validation: joins, units, periods, ownership mappings and reconciliation. You distinguish evidence from assumptions.