16 hours ago
Base Salary
$146k - $209k/yr
Responsibilities
- Design, develop, test, and maintain scalable Java-based web applications and platform services.
- Build front-end and server-side components using Java, Spring Boot, React, JavaScript, HTML5, CSS3, SQL, and Hibernate/JPA.
- Design and implement APIs and microservices supporting enterprise SaaS applications.
- Build and maintain AI-powered features including LLM integrations, RAG, semantic search, prompt orchestration, workflow automation, and AI agents.
- Evaluate and use AI-assisted development tools while maintaining code quality, security, testing, and maintainability.
- Work across browsers, APIs, application services, databases, cloud infrastructure, and third-party libraries to resolve complex technical issues.
- Contribute to core platform infrastructure services and improve application architecture, performance, scalability, observability, security, and development processes.
- Conduct code reviews, mentor team members, and reduce regression defects and technical debt.
- Write unit, integration, and API automation tests and troubleshoot production issues through root cause analysis.
- Collaborate with Product Management, UX, QA, DevOps, Security, and engineering teams.
Requirements
- BS/MS degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- 10+ years of hands-on experience developing enterprise Java-based web applications.
- Strong experience with Java, J2EE, Spring Boot, Spring Framework, Hibernate/JPA, React, JavaScript, HTML5, CSS3, SQL, APIs, microservices, and MVC architecture.
- Strong SQL experience with stored procedures, functions, triggers, views, and query optimization.
- Experience with Agile software development environments, test-driven development, automated testing, CI/CD pipelines, and software quality practices.
- Experience integrating LLMs using OpenAI, Anthropic, Google Gemini, or similar platforms.
- Experience with RAG, vector databases, embeddings, prompt engineering, MCP, tool calling, and AI orchestration frameworks.
- Understanding of responsible AI, prompt security, data privacy, AI governance, and AI evaluation methodologies.
- Preferred experience with private and public cloud deployments, platform tooling, AWS, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, OpenShift, infrastructure as code, CI/CD tools, monitoring, observability, Bash, Python, PowerShell, and distributed-system troubleshooting.
- Strong analytical, debugging, troubleshooting, communication, software quality, scalability, reliability, security, and operational excellence skills.
Benefits
- Hybrid work model requiring three days per week in the office.
- Base pay range of $145,600 to $209,300, with potential eligibility for performance-based bonuses and restricted stock unit awards.
- Benefits and rewards are available through UKG's employee benefits program.
Tech Stack
AWSAzureBashDatadogDockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformGrafanaJavaJavaScriptJenkinsKubernetesOpenShiftPowerShellPrometheusPythonReactSplunkSpring BootSQLTerraform
Categories
About UKG
UKG builds cloud software for human capital and workforce management—HR, payroll, timekeeping, and scheduling—sold as SaaS to mid‑size and large employers. Formed in 2020 by the merger of Ultimate Software and Kronos, it is privately held by Hellman & Friedman and has dual headquarters in Lowell, Massachusetts, and Weston, Florida. Its platform helps organizations handle pay, compliance, and workforce planning across industries.