1 day ago
Noida, IndiaStaff+
Responsibilities
- Lead architecture, design, development, and evolution of large-scale cross-domain software systems and platform capabilities for payroll, compliance, and enterprise applications.
- Design and develop scalable backend APIs, distributed systems, cloud-native services, and high-volume data-processing capabilities.
- Drive technical strategy, architecture decisions, modernization, technical-debt reduction, and adoption of engineering practices across multiple teams.
- Champion responsible AI adoption in engineering workflows and lead proofs of concept for AI-enabled tools, automation, and productivity solutions.
- Own service health, reliability, observability, production readiness, on-call participation, incident response, root-cause analysis, and preventive improvements.
- Embed secure coding, privacy, auditability, data governance, and compliance considerations into system architecture and software development.
- Mentor engineers, lead architecture and code reviews, support technical hiring, and build engineering communities and knowledge-sharing practices.
- Coordinate cross-team dependencies and lead large initiatives with substantial technical complexity, risk, integration requirements, and organizational visibility.
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 architecting scalable backend services, APIs, distributed systems, and enterprise applications.
- Strong understanding of distributed-system architecture, 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 technologies.
- Proven ability to lead technically complex, multi-team initiatives, develop technical strategy, and translate broad business outcomes into technical solutions.
- Experience leading complex production incidents, root-cause analysis, preventive improvements, secure software development, sensitive customer-data handling, and service ownership.
- Demonstrated AI-first engineering mindset with hands-on experience applying AI-assisted development tools and workflows to real engineering problems.
- Ability to mentor engineers, influence technical decisions beyond the immediate team, communicate complex concepts, operate independently, and exercise sound judgment in ambiguous situations.
- Preferred experience includes payroll, tax, HR, fintech, compliance, financial systems, regulated domains, high-volume transaction processing, cloud-native microservices, platform modernization, migrations, performance engineering, resilient architecture, AI agents, and developer productivity solutions.
- Preferred qualifications also include technical thought leadership through architecture forums, publications, patents, conferences, or engineering communities.
Benefits
- UKG states that the role offers real flexibility and benefits employees can count on.
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.