Sr Staff, Software Engineer

Gap Inc.; Pleasanton (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Gap Inc. is seeking a Sr. Staff Engineer to join their Build team. This role focuses on enhancing developer productivity through intelligent automation and modern engineering practices. You will lead the design of scalable CI/CD pipelines, drive adoption of best practices, and mentor teams in utilizing various development tools. You'll thrive in a collaborative environment, working together to create an optimal developer experience. If you're passionate about software engineering and excited by the potential of AI to transform workflows, this might be the perfect opportunity for you.

Qualifications

• 7+ years of software engineering experience with a focus on build engineering.
• Proficient in one programming language (Java, Python, Go).
• Deep expertise in Git and modern CI/CD tools.

Responsibilities

• Lead design and modernization of build systems and CI/CD pipelines.
• Drive adoption of best practices for source control and deployment.
• Champion generative AI tools and intelligent automation.

Skills

Software Engineering

Build Engineering

CI/CD

Git

Docker

Kubernetes

Terraform

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub

GitHub Actions

Artifactory

SonarQube

Job description

About the Role

•The Build team makes it easier and faster to build high-quality applications at Gap by providing a comprehensive and opinionated set of development tools and CI/CD infrastructure.
•Our objective is to maximize developer productivity by enabling an AI-augmented, agentic software development lifecycle through intelligent automation, streamlined workflows, and the promotion of modern engineering best practices.
•As a Sr. Staff Engineer, you’ll spearhead this evolution in collaboration with other engineering platform teams to create a seamless developer experience.

What You'll Do

• Lead the design and modernization of our build systems and CI/CD pipelines, focusing on scalability, reliability, and ease of use while balancing current needs with future goals.
• Develop and drive adoption of best practices for source control, dependency management, build processes, and deployment pipelines across the organization.
• Champion the adoption of generative AI tools and intelligent automation to enable an agentic software development lifecycle.
• Participate in an on-call rotation to support our build and deploy systems.
• Provide technical guidance, documentation, and training to help teams adopt and effectively use the tools and platforms you support.
• Monitor and improve the performance, reliability, and usability of development tools, incorporating feedback from users across the organization.

Who You Are

• You have 7+ years of software engineering experience, with a focus on build engineering and CI/CD, or equivalent experience.
• You’re proficient in at least one programming language (e.g., Java, Python, Go) and comfortable working across different types of languages as needed.
• You have deep expertise in Git and source control best practices.
• You’re proficient with modern CI/CD tools such as GitHub, GitHub Actions, GitHub Copilot, Artifactory, and SonarQube.
• You have extensive experience with Docker and Kubernetes in large-scale production environments.
• You’re well-versed in major cloud platforms and infrastructure as code (e.g., Terraform, Chef), with a track record of improving build and deployment processes at scale.
• You have significant experience leading projects and mentoring in a distributed team environment.
• You are passionate about developer experience and thrive on making complex workflows simpler, faster, and more reliable.
• You have a strong understanding of modern software development practices and are excited by the potential of AI and automation to transform how software is built.
• You enjoy collaborating across teams and disciplines, and you're skilled at translating developer needs into scalable platform solutions.
• You take pride in building tools that are intuitive, well-documented, and widely adopted.