Senior Safety Engineer: Automation, Data Pipelines & Cloud

Shopping Solutions Plus

New Haven (CT)

On-site

USD 86,000 - 116,000

Full time

14 days+

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Job summary

Shopping Solutions Plus in New Haven, CT is seeking a Safety Engineer who enjoys refining code and improving test automation. You will own reliability by scaling data pipelines, hardening Webpack setups, and reducing race conditions under peak traffic.

Candidates should have 5+ years of Java experience, strong judgment, and the ability to communicate bad news clearly. The role offers a $86,000 to $116,000 salary with coaching, coverage, and a flexible setup to support productive Docker-based

Qualifications

  • 5+ years of Java experience, not just exposure.
  • The composure to deliver bad news early and clearly.
  • Judgment about when to elevate or absorb.
  • Comfort owning a number that goes up or down because of you.
  • A keen eye for quality and consistency in your output.

Responsibilities

  • Enhance test automation frameworks to increase release confidence.
  • Scale data pipelines processing millions of events with Docker.
  • Stress-test Webpack systems until they bend, then harden where they cracked.
  • Catch the accountability race conditions that surface under peak traffic.
  • Translate Elasticsearch metrics into the chart leadership checks each morning.
  • Ensure code quality through automated linting, testing, and static analysis.
  • Patch Interpersonal Skills dependencies before CVEs become incidents.

Skills

Java

Tools

Docker
Elasticsearch
Webpack
Git

Job description

Shopping Solutions Plus in New Haven, CT is seeking a Safety Engineer who enjoys refining code and improving test automation. You will own reliability by scaling data pipelines, hardening Webpack setups, and reducing race conditions under peak traffic.

Candidates should have 5+ years of Java experience, strong judgment, and the ability to communicate bad news clearly. The role offers a $86,000 to $116,000 salary with coaching, coverage, and a flexible setup to support productive Docker-based

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