SRE Support Engineer, Compute
- Remote, United States
- Mid-level
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Hands-on support engineering for an internal compute platform, helping developers debug Kubernetes, containers and Linux problems; remote with Pacific hours.
About the role
Internal developers hit walls with scheduling, networking and container builds, and this role is the engineering line they call. Work sits at the low level, where a fix often needs real system knowledge.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Working hours
- 8AM to 5PM Pacific
- Skills
- Linux, Kubernetes, Docker, TCP/IP, DNS, Python, Git, Strace
- Posted
- 30 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Be the first engineering contact for Kubernetes and container issues raised by internal developers
- Trace faults across workloads, scheduling, services, networking and RBAC in Kubernetes
- Debug Docker images, builds and runtime problems, plus Linux servers, systemd and resource limits
- Dig into TCP/IP, DNS, routing and firewall issues using tcpdump, ss, strace, dig and journalctl
- Write tickets, incident summaries, runbooks and knowledge base articles, and join postmortems
What they look for
- Solid Linux fundamentals: processes, services, filesystems and kernel basics
- Strong Linux networking knowledge covering TCP/IP, routing, DNS, load balancers and firewalls
- Hands-on Kubernetes work, ideally beyond managed cloud offerings
- Production support experience on large systems
- Python scripting, Git fluency and comfort reading developer code and pull requests
Nice to have
- Experience with private or internal cloud Kubernetes setups
- Very clear written and spoken English
A typical week
- Answer developer questions in Slack, community forums and the ticketing system
- Onboard new teams to the compute platform with close, hands-on help
- Escalate platform bugs to SRE and platform teams and follow up on fixes
- Turn recurring support trends into structured feedback and better tooling
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
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Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job i26ctbv5qdQuestions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in the United States. On hours, the posting says: 8AM to 5PM Pacific.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a mid-level role. The posting asks for: solid Linux fundamentals: processes, services, filesystems and kernel basics; strong Linux networking knowledge covering TCP/IP, routing, DNS, load balancers and firewalls; hands-on Kubernetes work, ideally beyond managed cloud offerings. Skills it names include Linux, Kubernetes, Docker, TCP/IP.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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