EngOps Lead: AI-Driven Delivery & Productivity

ICANN; Los Angeles (CA); On-site; USD 124,000 - 165,000; Full time

Job summary

ICANN is seeking an Engineering Operations Lead to improve the software development lifecycle across engineering teams in Los Angeles. The role focuses on productivity, delivery processes, release management, and operational discipline while evaluating AI-assisted capabilities to enhance quality and efficiency.

Working with engineering leadership, platform engineering, and product management, you will establish frameworks, tooling, and practices to deliver high-quality software reliably.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience in software engineering, developer platforms, or engineering operations roles.
• Strong understanding of modern software development practices including CI/CD, automated testing, and DevOps methodologies.
• Understanding of AI-assisted software development tools, intelligent automation, and emerging engineering productivity technologies.
• Experience evaluating and implementing developer productivity platforms, engineering automation solutions, or AI-enabled development workflows.
• Experience improving software delivery processes across multiple engineering teams.
• Familiarity with modern development tools, version control systems, and release automation platforms.

Responsibilities

• Establish and maintain standardized software delivery practices across engineering teams.
• Define engineering lifecycle processes including planning, development, testing, release, and operational handoff.
• Improve engineering predictability through consistent delivery practices and release governance.
• Identify opportunities to improve developer productivity and engineering workflow efficiency.
• Evaluate and implement AI-enabled developer tools and engineering automation capabilities that improve coding efficiency, knowledge sharing, troubleshooting, and software delivery performance.
• Establish standards and best practices for responsible use of AI-assisted development tools within the software engineering lifecycle.
• Reduce friction in the development lifecycle by improving tooling, documentation, and internal engineering services.
• Partner with Product Management to support predictable delivery of product roadmaps.
• Work with Platform Engineering to improve build systems, developer tooling, and automation frameworks.

Skills

CI/CD

DevOps

AI-enabled tools

Engineering productivity

Release governance

Education

Bachelor’s or Master’s in CS/Engineering

Tools

CI/CD tooling

Release automation platforms

AI-enabled engineering tools

Job description

ICANN is seeking an Engineering Operations Lead to improve the software development lifecycle across engineering teams in Los Angeles. The role focuses on productivity, delivery processes, release management, and operational discipline while evaluating AI-assisted capabilities to enhance quality and efficiency.

Working with engineering leadership, platform engineering, and product management, you will establish frameworks, tooling, and practices to deliver high-quality software reliably.