Lead DevOps Engineer

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Are you passionate about building exceptional developer experiences and enabling high-performing engineering teams? Do you thrive at the intersection of DevOps, platform engineering, and developer productivity?
If so, we want you to lead our Developer Tools and Software Catalog ecosystem as our next Lead DevOps Engineer, driving innovation, automation, and engineering excellence across the enterprise.
This role provides technical leadership across the tooling ecosystem that enables secure, reliable, and efficient software delivery while improving developer experience through automation, governance, and self-service capabilities.

Responsibilities

In this role, you will lead the strategy, governance, and lifecycle management of the enterprise developer tooling ecosystem, enabling secure, scalable, and efficient software delivery. You will partner with Engineering, Security, Infrastructure, Architecture, and Product teams to drive Developer Experience (DevEx), expand automation and self-service capabilities, establish tooling standards and best practices, and deliver solutions that improve developer productivity and platform reliability.

Key Responsibilities

• Lead the enterprise Developer Tools and Software Catalog ecosystem with end-to-end ownership.
• Define tooling standards, governance, best practices, and support models.
• Own Developer Experience (DevEx), including onboarding, Day 2 operations, self-service tooling, and developer productivity initiatives.
• Support developer tooling ecosystems as product-like platforms with a strong Developer Experience (DX) focus.
• Oversee tool lifecycle management, including onboarding, upgrades, patching, licensing, renewals, adoption, and retirement.
• Drive modernization, automation, self-service, and developer productivity initiatives.
• Partner with Engineering, Security, Infrastructure, Architecture, and vendors to align tooling strategy and roadmaps.
• Lead platform migrations and evaluate emerging technologies, including AI-assisted developer tools.
• Monitor operational metrics, adoption trends, risk remediation efforts, and cost optimization opportunities.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software engineering, DevOps, platform engineering, or a related discipline.
• 2+ years of technical leadership experience.
• Strong stakeholder management, communication, and organizational skills.
• Experience supporting enterprise developer tooling ecosystems.
• Strong knowledge of enterprise software engineering principles, frameworks, and modern development practices.
• Experience with Microsoft Azure, Azure DevOps, CI/CD pipelines, Git, SQL, and Java or .NET development.
• Experience with artifact management platforms such as JFrog and integrations with core DevOps platforms.
• Proficiency with PowerShell, Bash, and Python scripting.

Technical Skills and Experience

• Strong communication, organizational, and troubleshooting skills.
• Ability to lead technical discussions, meetings, and best-practice adoption across development teams.
• Experience working independently in a fast-paced environment with multiple competing priorities.
• Strong understanding of modern software development methodologies, frameworks, and standards.
• Experience with enterprise artifact management platforms and DevOps ecosystem integrations.
• 5+ years of experience with Microsoft Azure and Azure DevOps.
• 5+ years of experience building or supporting CI/CD pipelines.
• 5+ years of experience with Git source control and branching strategies.
• 5+ years of SQL querying and database development experience.
• 5+ years of hands-on Java or .NET development experience.
• Experience with IDEs and development tools, including IntelliJ, Eclipse, Visual Studio, SQL Server, and Power BI.
• Experience with Java frameworks and development standards.
• Experience with .NET frameworks and development standards.
• Proficiency in scripting and automation using PowerShell, Bash, and Python.
• Experience with AI-assisted de