EmpowerHiring

Senior Data Reliability Engineer AWS

  • Remote, United States
  • Senior
  • Posted 2 days ago
Apply with Keywordise AI

or apply from Claude / ChatGPT / Muse

In one line

Hands-on reliability role for an AWS data platform, fixing production pipelines and improving SLAs.

About the role

The team keeps data pipelines and analytics platforms resilient against failures, delays and quality problems.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
AWS, Python, SQL, Spark, EMR, Redshift, DynamoDB
Visa
No sponsorship
Posted
2 Nov 2026
Last checked
3 Nov 2026

What you will do

  • Resolve production pipeline failures and data quality issues across Spark, EMR and warehouse systems
  • Lead incident response, run root cause analysis and ship lasting fixes
  • Build monitoring, alerting and automation to cut operational toil

What they look for

  • Five or more years with production data platforms on AWS
  • Strong Python and SQL used in real data systems
  • Experience debugging distributed processing such as Spark, EMR or Redshift
  • A track record of handling incidents and root cause analysis

Nice to have

  • Experience with backfills, late-arriving data and data observability

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.

Apply with Keywordise AI7-day free trial, no card.

Apply from your AI assistant

Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

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 kfure3iunt
How to connect

Questions about this job

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

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: five or more years with production data platforms on AWS; strong Python and SQL used in real data systems; experience debugging distributed processing such as Spark, EMR or Redshift. Skills it names include AWS, Python, SQL, Spark.

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.

More remote engineering jobs

All remote engineering jobs
EmpowerRemote, United States
Apply with Keywordise AI