Senior SDLC Tooling engineer

Project description

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

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

SKILLS

Must have

• GitLab Source Code Management (SCM) GitLab CI/CD GitLab Duo and AI-assisted development capabilities GitLab Runners and pipeline infrastructure GitLab Governance and compliance controls SonarQube JFrog Artifactory Mend Software Composition Analysis (SCA) Integrated Development Environments (VS Code, IntelliJ, Eclipse, and related tooling) Developer portals and self-service engineering capabilities DevSecOps and software supply chain security tooling Build, test, deployment, and release automation platforms

Nice to have

Hands-on experience with: Delphix SmartBear Zephyr Selenium Playwright Cucumber Postman GitLab GitLab CI/CD Jira REST Assured Experience defining enterprise testing standards, governance models, and automation strategies. Experience leading quality engineering transformation initiatives. Experience with cloud-native testing in Azure, AWS, or hybrid cloud environments. Experience implementing enterprise Test Data Management programs. Experience implementing AI-enabled testing and intelligent automation capabilities. Experience serving as an architecture lead, principal engineer, or technical authority. Strong influencing, consulting, mentoring, stakeholder management, and executive communication skills. Financial services or other highly regulated industry experience preferred.