Staff CI/CD Automation Engineer (AI-augmented Release)

D-Matrix Corp.

Santa Clara, Northern (CA, KY)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

d-Matrix in Santa Clara area is seeking a Staff Software Infrastructure Engineer to own the CI/CD automation and release engineering for a complex, multi-environment build/test pipeline. You will design automation to diagnose and fix pipeline failures, classify regressions, and identify flaky hardware or infra issues, while scaling compute and storage across cloud and on-prem environments.

You will work with the Software Infrastructure team, development groups, and Quality Engineering to drive

Qualifications

  • What you will bring includes a track record of building automation that measurably reduced toil or time-to-signal in CI, release, or dev-tooling contexts.
  • Experience in release engineering, including versioning schemes and independent release trains.
  • Architectural judgment on AI versus deterministic software and compute vs data locality.

Responsibilities

  • Design and build automation that diagnoses and resolves CI/CD pipeline failures, including regression and infrastructure issues.
  • Develop automated methods to identify which merges cause failures in long-running test suites.
  • Architect scalable compute and storage for build and test workloads across cloud and on-prem environments.
  • Own release engineering practices, including versioning schemes and compatibility matrices.
  • Reduce developer toil and time-to-signal across product, dev, test, and release pipelines.
  • Partner with development groups and Quality Engineering to drive adoption of new tooling.

Skills

CI/CD automation
Release engineering
Kubernetes
LLM agents
Automation engineering
Observability

Tools

GitLab CI
VMs
Kubernetes
CI/CD tooling

Job description

d-Matrix in Santa Clara area is seeking a Staff Software Infrastructure Engineer to own the CI/CD automation and release engineering for a complex, multi-environment build/test pipeline. You will design automation to diagnose and fix pipeline failures, classify regressions, and identify flaky hardware or infra issues, while scaling compute and storage across cloud and on-prem environments.

You will work with the Software Infrastructure team, development groups, and Quality Engineering to drive

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