Senior Staff Technical Lead – Git/Gerrit Platform

Qualcomm•San Diego, CA

1d•Onsite

About The Position

We are seeking a seasoned, forward-thinking technologist to serve as the Technical Lead for Git/Gerrit within Qualcomm’s Engineering Services organization. This role is responsible for the strategy, architecture, modernization, and operational excellence of enterprise-scale source code management and DevOps platforms supporting 20,000+ engineers globally. The Technical Lead will drive next-generation engineering enablement through scalable, secure, and highly available Git/Gerrit and CI/CD ecosystems. This role requires full-time onsite work in San Diego, CA (5 day per week).

Requirements

7+ years of IT-related work experience with a Bachelor's degree.
OR 9+ years of IT-related work experience without a Bachelor’s degree.
10+ years of IT experience with deep expertise in enterprise-scale Git/Gerrit-based source code management systems.
Proven hands-on experience deploying, administering, and scaling Git/Gerrit in large, globally distributed environments.
Strong background in CI/CD pipelines, automation, and DevOps tooling (e.g., Jenkins, container platforms, configuration management).
Demonstrated ability to design and operate highly scalable, distributed systems with strong reliability and security posture.
Deep understanding of SDLC, code review workflows, version control best practices, and Agile methodologies.
Strong scripting and automation skills (e.g., Python, Bash, Ruby, or similar).
Proven success leading cross-functional, globally distributed teams and driving complex initiatives to completion.
Excellent problem-solving, analytical, and architectural design skills, with the ability to turn data into actionable insights.
Exceptional communication and presentation skills; ability to influence at technical and executive levels.
Comfortable operating in a fast-paced environment while managing multiple priorities

Nice To Haves

Experience with risk assessment, release management, and enterprise integration practices.
Semiconductor or large-scale engineering organization experience.
Familiarity with cloud-based DevOps platforms, modern monitoring and security practices, and AI/ML usage within the DevOps lifecycle.
Intellectual curiosity, adaptability, and a highly collaborative mindset

Responsibilities

Own the architecture, roadmap, and evolution of Qualcomm’s Git/Gerrit platforms (world’s largest) and integrated DevOps toolchains, aligning with enterprise engineering objectives and industry best practices.
Lead platform modernization initiatives, including adoption of contemporary architectures, automation, and AI-enabled developer tooling.
Establish and enforce standards and best practices for source control, CI/CD, automation, analytics, and AI workflows.
Design and operate fault-tolerant, highly scalable, and secure Git/Gerrit infrastructure supporting mission-critical, global engineering workloads.
Ensure high availability, performance, and security through robust 24×7 operational support, incident management, and continuous improvement.
Evaluate existing systems and recommend scalable, cost-effective architectural enhancements.
Drive the design and integration of CI/CD pipelines, build and release systems, containerized platforms, and infrastructure-as-code solutions.
Leverage automation and data-driven insights to improve developer productivity, reliability, and operational efficiency.
Serve as the primary liaison between Engineering, IT, and external partners for SCM and DevOps platforms.
Collaborate with global engineering teams to gather requirements, prioritize initiatives, and deliver resilient, scalable solutions.
Provide regular updates to stakeholders on platform health, roadmap progress, risks, and technical challenges.
Lead, mentor, and develop a global team of DevOps engineers, fostering technical excellence and continuous improvement.
Act as technical lead on complex initiatives—driving design discussions, resolving roadblocks, and ensuring delivery accountability.
Develop and deliver training, playbooks, and knowledge assets to promote best practices across the organization.
Support M&A integration efforts, including tooling transition planning and execution.
Research and evaluate emerging technologies to enhance engineering workflows and platform capabilities.