AI-Enhanced CI/CD Automation Architect

d-Matrix

Santa Clara (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

d-Matrix is building the future of AI-powered software and hardware. The Staff-level Software Infrastructure Engineer will own CI/CD automation, diagnose pipeline failures, and drive release engineering practices across cloud and on-prem environments.

You will blend AI techniques with deterministic automation, design scalable compute and storage for build and test workloads, and partner with engineering, QA, and development groups to spread best practices.

Qualifications

  • Must have proven automation that reduces toil in CI/CD, release, or dev-tooling contexts.
  • Experience with release engineering: versioning schemes and multi-component release trains.
  • Architectural judgment on AI vs deterministic software and data locality considerations.

Responsibilities

  • Design and build automation that diagnoses and resolves CI/CD pipeline failures, including classification of regressions, flaky hardware, and infrastructure issues.
  • Develop automated methods to identify which merges cause failures in long-running test suites.
  • Evaluate and integrate AI techniques alongside deterministic automation to maximize reliability.
  • Architect scalable compute and storage for build and test workloads across cloud and on-prem environments.
  • Own release engineering practices, including versioning schemes, independent component release trains, and compatibility matrices.
  • Reduce developer toil and time-to-signal across the product, dev, test, and release pipeline.
  • Partner with development groups and Quality Engineering to drive adoption of new tooling and best practices.

Skills

CI/CD automation
Release engineering
Software architecture
Production-grade automation
Tooling adoption

Tools

GitLab CI
Kubernetes
LLM-based agents
Semantic versioning

Job description

d-Matrix is building the future of AI-powered software and hardware. The Staff-level Software Infrastructure Engineer will own CI/CD automation, diagnose pipeline failures, and drive release engineering practices across cloud and on-prem environments.

You will blend AI techniques with deterministic automation, design scalable compute and storage for build and test workloads, and partner with engineering, QA, and development groups to spread best practices.

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