Lead Software Development Engineer
Listed on 2026-08-26
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Software Development
DevOps, Software Testing, Software Architect, Cloud Engineer - Software
Why UKG:
At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.
We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you.
About the Team:UKG is seeking a highly skilled and influential Lead Software Development Engineer to join our Shared Services team within Employee Solutions & Experience (ESE). This role is focused on advancing Quality Engineering through scalable test automation, strong software engineering practices, AI-enabled capabilities, and shared platforms that enable product teams to deliver high‑quality software at speed.
About the Role:As a technical lead, you will design and implement modern automation solutions, establish engineering and Dev Ops best practices, and partner closely with development teams across ESE to improve quality, test coverage, delivery efficiency, and release confidence. You will play a key role in driving quality transformation through reusable automation frameworks, continuous testing, observability, AI‑assisted development, and agentic approaches to software validation.
The ideal candidate combines deep technical expertise with a passion for mentoring others, improving engineering processes, and building reusable solutions that benefit multiple teams across UKG. They will bring the mindset of a software engineer and platform builder, with practical experience applying modern development tools, Claude Code, Model Context Protocol, and AI agents to improve engineering productivity and quality outcomes.
Responsibilities:- Design and build scalable, maintainable automation frameworks, shared services, libraries, developer tools, and reusable engineering patterns.
- Develop capabilities for browser, API, integration, contract, performance, accessibility, and end‑to‑end testing.
- Define automation standards covering architecture, code quality, testability, reliability, and maintainability.
- Integrate quality checks, release validations, and quality gates into CI/CD pipelines while improving execution speed, parallelization, stability, diagnostics, and feedback time.
- Build observability into automation platforms through logs, metrics, traces, dashboards, and alerts, and correlate test results with build, deployment, application, and production telemetry.
- Partner with development, Dev Ops, SRE, security, architecture, and release teams to improve delivery quality and reduce duplicated frameworks.
- Mentor engineers and manual testers in software development, automation, Dev Ops, and AI‑assisted engineering.
- 8+ years of experience in software engineering, quality engineering, Dev Ops, SRE, platform engineering, test architecture, or a related discipline, including strong technical leadership, communication, and mentoring skills.
- Strong programming proficiency in Type Script, JavaScript, Python, Java, C#, or a comparable language, with experience designing maintainable automation frameworks or internal engineering platforms.
- Hands‑on experience with Playwright, Selenium Web Driver, or similar browser automation technologies, along with API, integration, contract, and end‑to‑end testing.
- Experience with CI/CD platforms such as Azure Dev Ops, Git Hub Actions, or Jenkins, and practical knowledge of Git, pull requests, code reviews, build systems, and deployment workflows.
- Experience with Docker, Kubernetes, cloud services, modern application architectures, and observability practices, including logging, metrics, tracing, dashboards, and failure diagnostics.
- Hands‑on experience using Claude Code, Codex, or comparable AI coding assistants for substantive engineering work, with practical knowledge of MCP, tool calling, and agentic application development.
- Ability to evaluate,…
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