DevOps Lead

MACHINE LEARNING TECHNOLOGIES LLC

Foster City (CA)

Vor Ort

USD 90.000 - 128.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • 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.]

Kenntnisse

DevOps leadership
CI/CD
Cloud platforms
Terraform
Docker
Kubernetes
SRE
Agile/SAFe
Stakeholder management

Tools

GitHub/GitLab
Jenkins/Azure DevOps
Terraform
Docker
Kubernetes

Jobbeschreibung

DevOps Lead Overview
  • Company Name: MACHINE LEARNING TECHNOLOGIES LLC
  • Job Role: DevOps Lead
  • Qualifications: Not specified
  • Category: I
  • Job Type: Full Time
  • Location: Foster City, CA, United States
  • Job ID: J54636
  • Job Title: DevOps Lead
  • Location: Foster City, CA
  • Duration: 10 Months + Extension
  • Domain Exposure: Consumer Discretionary
  • Client: To Be Discussed Later
  • Employment Type: W-2, 1099, C2C
  • Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
  • Duration: 10 Months + Extension
  • Bill Rate: $79/hour (C2C)
  • Job Type: W-2, 1099, C2C
  • Client: To Be Discussed Later
  • Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description

We are seeking an experienced DevOps Lead to drive enterprise-scale DevOps transformation and adoption across engineering teams. The role will focus on defining the DevOps roadmap, modernizing CI/CD and engineering practices, improving developer experience, and driving measurable improvements in software delivery performance.

Key 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.
Required Skills
  • 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.
Preferred Profile

A hands-on, transformation-oriented DevOps leader who can operate at both strategy and execution levels, influence engineering teams, establish governance and standards, and accelerate DevOps maturity across a large enterprise environment.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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