Lead Software Engineer - SDLC Tooling

Overview Responsible at the expert level for engineering, operating, and evolving enterprise Software Development Lifecycle (SDLC) and Developer Experience platforms. Drives technical strategy, standards, adoption, automation, and continuous improvement across the software delivery ecosystem while ensuring the stability, scalability, security, and resiliency of critical engineering services. Serves as a senior technical leader and subject matter expert for enterprise developer platforms, enabling software engineers to efficiently and securely develop, test, deploy, and maintain applications throughout the software development lifecycle.

Provides technical leadership, platform expertise, and engineering guidance while partnering across Architecture, Cybersecurity, Infrastructure, Cloud Engineering, and Application Development teams. Adapted from the existing Lead Engineer role expectations and scope.  Primary Responsibilities Design, engineer, administer, and continuously improve Enterprise Developer Experience and SDLC platform capabilities supporting software delivery across the organization. Serve as the technical expert and platform owner for enterprise developer tooling including:
Git Lab Source Code Management (SCM) Git Lab CI/CD Git Lab Duo and AI-assisted development capabilities Git Lab Runners and pipeline infrastructure Git Lab Governance and compliance controls Sonar Qube JFrog Artifactory Mend Software Composition Analysis (SCA) Integrated Development Environments (VS Code, IntelliJ, Eclipse, and related tooling) Developer portals and self-service engineering capabilities Dev Sec Ops  and software supply chain security tooling Build, test, deployment, and release automation platforms Develop platform capabilities following approved Software Development Lifecycle (SDLC) processes and enterprise technology standards while identifying opportunities to improve engineering effectiveness and reduce delivery friction.  

Design and implement enterprise software delivery workflows utilizing Git Lab SCM, Git Lab CI/CD, code quality, security, and artifact management capabilities. Drive adoption and optimization of Git Lab Duo and other AI-assisted engineering capabilities while ensuring alignment with enterprise governance, security, compliance, and risk management standards. Design and implement integrations between Git Lab, Sonar Qube, JFrog Artifactory, Mend, cloud platforms, identity services, developer workstations, ticketing systems, and observability platforms.

Engineer reusable CI/CD templates, pipeline standards, deployment frameworks, and self-service capabilities that improve consistency, quality, and engineering velocity. Define and implement standards for source control management, branching strategies, merge request workflows, code review processes, testing automation, release management, and software supply chain security. Review and approve technical designs, platform configurations, automation solutions, and integration proposals impacting the software delivery ecosystem.

Drive implementation adherence with patterns and practices for platform resiliency, scalability, observability, security, and operational excellence.  Lead platform modernization initiatives that improve developer productivity, streamline delivery workflows, and enhance the overall developer experience. Define, measure, and report platform adoption, utilization, reliability, performance, developer productivity, and engineering effectiveness metrics. Review testing methodologies, platform health indicators, and operational controls to ensure stable and secure service delivery.

Serve as a key partner with Architecture, Cybersecurity, Infrastructure, Cloud Engineering, Risk, and Application…