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Staff Software Engineer, Backend (Observability)

  • Remote, United States
  • Senior
  • Posted yesterday
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In one line

Technical lead for a six-person observability team handling more than 200 TB of metrics, logs and traces a day across 80+ Kubernetes clusters. Mostly hands-on.

About the role

The platform is the lens every engineer uses to see how systems behave and why a checkout failed. The coming year brings wide events, log sampling and instrumentation built into AI-assisted coding.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, Kotlin, AWS, MySQL, Flink, Kubernetes, OpenTelemetry, Kafka
Posted
28 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Own the architecture of the telemetry pipeline, balancing reliability, query speed and cost at high volume
  • Design log sampling that cuts volume and spend without losing what engineers need during incidents
  • Set technical strategy for the team over a year and tie it to business projects
  • Make observability part of agentic development so coding agents and review catch instrumentation gaps
  • Set code review and design standards, mentor the team and keep on-call operations healthy

What they look for

  • 8+ years building and launching backend systems at scale in Python or Kotlin
  • Track record with highly available distributed systems using AWS, MySQL, Flink and Kubernetes
  • Experience building or running high-volume telemetry with OpenTelemetry, Kafka and Terraform
  • Experience rolling out a platform standard across many engineering teams

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
Apply to Keywordise job vy7gii4i6g
How to connect

Questions about this job

Is this a remote job, and where can I work from?

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: 8+ years building and launching backend systems at scale in Python or Kotlin; track record with highly available distributed systems using AWS, MySQL, Flink and Kubernetes; experience building or running high-volume telemetry with OpenTelemetry, Kafka and Terraform. Skills it names include Python, Kotlin, AWS, MySQL.

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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