Enterprise DevOps Lead: CI/CD Transformation & SRE

MACHINE LEARNING TECHNOLOGIES LLC

Foster City (CA)

On-site

USD 90,000 - 128,000

Full time

4 days ago

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Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Foster City, CA is seeking an experienced DevOps Lead to drive an enterprise-scale transformation across engineering teams. You will define the DevOps roadmap, modernize CI/CD, and improve developer experience while delivering measurable improvements in software delivery performance.

Responsibilities include leading toolchain optimization, implementing IaC, SRE practices, and governance of delivery priorities.

Qualifications

12+ years of technology delivery, program, DevOps, or transformation experience.
Proven experience leading DevOps, cloud, Agile, or engineering transformation at enterprise scale.
Strong understanding of CI/CD architectures, cloud-native engineering, Infrastructure as Code, automation, and SRE.
Working knowledge of modern DevOps ecosystems such as GitHub/GitLab, Jenkins/Azure DevOps, Terraform, Docker, Kubernetes, and cloud platforms.
Strong understanding and application of DORA engineering metrics.
Experience working with Agile and SAFe-based enterprise delivery models.
Strong stakeholder management, leadership, facilitation, and executive communication skills.
Ability to translate complex engineering concepts into clear business outcomes.

Responsibilities

Define and own the DevOps transformation roadmap, aligned with engineering and business priorities.
Drive adoption of CI/CD, Infrastructure as Code, shift-left testing, platform engineering, and Site Reliability Engineering practices.
Lead DevOps culture and change-management initiatives across multiple engineering teams.
Establish and track DORA metrics, including deployment frequency, lead time, change failure rate, and MTTR.
Lead initiatives around toolchain optimization, automation, developer experience, and process re-engineering.
Coordinate cross-team dependencies and drive resolution of technical and delivery impediments.
Govern resource plans, delivery priorities, risks, and vendor relationships.
Facilitate technical workshops, retrospectives, executive reviews, and DevOps communities of practice.
Provide clear transformation status and recommendations to client and internal leadership.]