Staff Software Engineer
- Remote, United States
- Senior
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Staff-level infrastructure role on a control plane team, building Kubernetes systems across multi-cloud and hybrid setups; on-call rotation included.
About the role
Fleet work covers control plane services, tenancy models, deployment pipelines and observability. Expect to set technical direction while still writing code and mentoring engineers.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Kubernetes, Python, Go, Helm, Terraform, Pulumi, GitOps, Cilium
- Posted
- 30 Oct 2026
- Last checked
- 3 Nov 2026
What you will do
- Design and build secure Kubernetes infrastructure that scales in multi-cloud and hybrid setups
- Set the technical direction for core control plane work: tenancy, deployment pipelines, observability
- Mentor engineers and push for a culture of ownership and curiosity
- Bring in GitOps, Kyverno policy as code, Cilium networking, autoscaling and better resource use
- Work closely with SRE, platform and application teams so infrastructure fits product needs
- Guide CI/CD, reliability, container lifecycle and developer experience practices
What they look for
- Seven to ten or more years in engineering, with at least five in infrastructure, platform or backend work
- Solid Python or Go, with a record of production systems used across an engineering org
- Able to design systems from scratch and make pragmatic tradeoffs
- Deep knowledge of Kubernetes internals: networking, scheduling, scaling, controllers
- Experience across AWS, GCP or Azure, and hybrid environments
Nice to have
- Familiarity with Cilium, Kyverno, KEDA, Gateway API or OPA
- Experience running multi-tenant SaaS platforms
- Exposure to on-prem delivery or regulated environments
- Performance tuning for large data or compute workloads
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
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 heptgk6f2lQuestions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in the United States.
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 senior role. The posting asks for: seven to ten or more years in engineering, with at least five in infrastructure, platform or backend work; solid Python or Go, with a record of production systems used across an engineering org; able to design systems from scratch and make pragmatic tradeoffs. Skills it names include Kubernetes, Python, Go, Helm.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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