1 day ago
Noida, IndiaStaff+
Responsibilities
- Lead architecture, design, development, and evolution of large-scale backend systems, APIs, distributed systems, and platform capabilities.
- Develop technical strategies and influence architecture, engineering standards, roadmaps, and technical investments across multiple teams and domains.
- Remain hands-on with complex implementations, prototypes, production problems, modernization, and technical-debt reduction.
- Champion responsible AI-assisted engineering, evaluate generative AI and agentic systems, and develop reusable AI-enabled tools and practices.
- Own service health, reliability, scalability, observability, production readiness, on-call participation, incident response, and root cause analysis.
- Drive secure coding, privacy, auditability, data governance, and compliance for sensitive payroll, tax, financial, and personally identifiable information.
- Mentor engineers, lead design and code reviews, conduct technical interviews, and promote engineering excellence and knowledge sharing.
- Partner with Product, Architecture, Compliance, Customer Support, SRE, operations, and engineering stakeholders to deliver customer-focused solutions.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 12+ years of professional software engineering experience, including significant experience designing and leading complex enterprise software systems.
- Deep expertise in Java and/or Python, with experience building scalable backend services, APIs, distributed systems, and enterprise applications.
- Strong knowledge of distributed-system architecture, design patterns, scalability, resiliency, concurrency, performance, data consistency, SQL, and data modeling.
- Hands-on experience with GCP, AWS, or Azure and distributed caching technologies such as Redis or Hazelcast.
- Strong experience with observability platforms including Grafana, Kibana, OpenTelemetry, or similar tools.
- Proven ability to lead technically complex, multi-team initiatives, develop technical strategy, and translate broad business outcomes into technical execution.
- Experience resolving complex production incidents, conducting root cause analysis, and driving preventive improvements.
- Strong understanding of DevOps practices, production operations, service ownership, secure software development, and sensitive customer-data handling.
- Hands-on experience applying AI-assisted development tools and workflows to engineering problems, plus the ability to mentor engineers and influence technical decisions.
- Excellent communication, stakeholder-influence, customer-orientation, independent judgment, and ability to operate in ambiguous, highly complex situations.
- Preferred qualifications include payroll, tax, HR, fintech, compliance, financial systems, regulated-domain, high-volume transaction-processing, cloud-native architecture, platform modernization, performance engineering, resilience-pattern, AI-agent, developer-productivity, and technical thought-leadership experience.
Benefits
- The company describes real flexibility and benefits employees can count on.
- UKG is committed to equal opportunity, diversity, and inclusion in the workplace and recruitment process.
- Disability accommodations are available during the application and interview process.
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.