Checkr
Software EngineerAppliedAug 6, 2026

Contain credential retry storms in state searches

Retry logic often looks resilient until a shared dependency starts failing differently.

Recovering individual requests can compete with protecting the wider completion path.

I can handle an exception, but I can’t plan around a check that just keeps spinning.

Henrik Sundberg · Regional Recruiting Manager

Runs high-volume seasonal hiring across states affected by the delayed searches.

What pulls against what

  • rapid recovery vs. bounded external load
  • source-specific behavior vs. common lifecycle rules
  • automatic retries vs. actionable exceptions
  • throughput protection vs. individual request persistence

What is at stake

A narrow dependency fault is consuming shared capacity and delaying unrelated searches. Better isolation protects both recovery and throughput

Why Checkr

At Checkr, dependable completion can be especially consequential when employers are moving quickly through hiring queues.

Written for

Distributed systems engineerReliability-focused backend engineerIntegration platform engineer

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.