Director of Software Engineering, Shared Services and Quality

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
You will join our Enterprise Systems & Experience (ESE) organization, a cross-functional engineering team responsible for the design, development, integration, and operation of UKG’s enterprise platforms. We build and maintain secure, scalable, and reliable systems that support critical business functions across the company. Our work spans architecture, data, integrations, automation, and AI/ML capabilities to ensure systems are extensible, performant, and aligned to evolving business needs.

The Opportunity
UKG is seeking a Director of Shared Services Engineering to lead a centralized services organization responsible for accelerating high-quality software delivery across engineering teams. 
You will define and execute a platform-as-a-product strategy that embeds quality, automation, governance, and developer productivity into every phase of the software lifecycle, from design and development through testing and enterprise release.
You will own the strategy, architecture direction, operating model, and measurable outcomes of DevOps platforms, Quality Engineering frameworks, and Enterprise Release Management under a unified shared services charter

What You Will Do
- Lead the strategy and roadmap for engineering platforms, including continuous integration and continuous delivery (CI/CD), cloud infrastructure, automation frameworks, and release orchestration.
- Build standardized, self-service solutions that help engineering teams move from code to production faster and with greater confidence. Measure and improve engineering effectiveness using data-driven metrics.
- Establish enterprise Quality Engineering practices, including automated testing across regression, application programming interfaces (APIs), integration, performance, and non-functional testing.
- Embed automated quality validation into CI/CD pipelines to support objective release decisions.
- Define observability standards using logs, metrics, and traces to strengthen release readiness and post-release validation.
- Simplify release governance by defining clear readiness criteria, risk controls, and compliance standards.
- Lead and develop engineering managers and senior contributors while strengthening collaboration across Product, Architecture, and Security teams.
- Champion a culture of automation, experimentation, operational excellence, and continuous improvement.

Required Qualifications
Bachelor's degree in computer science, Engineering, or related technical field.
12+ years of experience in software engineering, DevOps, platform engineering, or Quality Engineering, including 5+ years leading engineering managers and senior individual contributors.
Proven experience defining and scaling enterprise Quality Engineering strategies, including automation frameworks, non-functional testing, quality governance, and objective release standards.
Demonstrated success embedding automated quality validation into CI/CD pipelines to enable risk-informed release promotion decisions.
Extensive experience building and operationalizing DevOps and Quality Engineering platforms at enterprise scale, including cloud-native infrastructure (AWS, Azure, or GCP), modern CI/CD architecture, and enterprise test automation frameworks.
Strong understanding of modern observability practices (logs, metrics, traces) and their use in post-release validation and engineering insights.
Demonstrated success improving developer productivity, automation maturity, and release reliability across large SaaS environments.

Preferred Qualifications
Experience managing Cloud infrastructure, Enterprise Integrations and Dev teams.
Implementing engineering effectiveness frameworks (DORA, value stream mapping, flow efficiency)
Experience with AI-driven techniques (test intelligence, test impact analysis, flaky test detection, predictive quality analytics).