UKG (Ultimate Kronos Group) is hiring for Software Engineer II โ Eng in Noida, Uttar Pradesh, India. This is a regular, hybrid-work opportunity focused on software engineering, data platforms, event-driven architecture and distributed systems. The listed job ID is SOFTW020394. The role is particularly relevant to experienced software engineers with 5+ years of professional experience, strong Java or Python skills, and an interest in building reliable data pipelines using technologies such as Apache Kafka.
๐ข About the Company
UKG is a global technology company specializing in human capital management (HCM), workforce management and related HR solutions. Its technology helps organizations manage workforce operations, employee experiences, time and attendance, and payroll-related processes. UKG’s products support organizations with complex workforce needs, making reliable data movement and processing important to its wider technology ecosystem.
๐ Job Overview
- Company: UKG
- Job Title: Software Engineer II โ Eng
- Job ID: SOFTW020394
- Location: Noida, Uttar Pradesh, India
- Employment Type: Regular, full-time employment
- Work Style: Hybrid
- Experience Required: 5+ years of professional software engineering experience
- Education: Bachelor’s degree in Computer Science, Software Engineering or a related field, or equivalent experience
- Primary Programming Languages: Java or Python
- Core Technologies: Apache Kafka or similar event-streaming platforms, distributed systems and data pipelines
- Primary Focus: Event-driven architecture, data processing, reliability, scalability and cloud-native platforms
๐ป Key Responsibilities
- Develop event-driven systems: Build software components that support reliable, scalable and maintainable data-platform capabilities.
- Build data pipelines: Ingest, route, process and persist structured and unstructured data across distributed systems.
- Write production-quality code: Follow coding standards, design principles and testing practices using Java, Python or other relevant technologies.
- Test and troubleshoot: Debug software, investigate failures and address functional, performance and operational issues.
- Collaborate across teams: Work with engineering peers, product partners and dependent teams to translate requirements into technical solutions.
- Maintain data-flow compatibility: Contribute to design standards, documentation and assurance processes.
๐ Why Is This Role Good for Experienced Professionals?
- Distributed-systems experience: Work with data flows that span services and require careful handling of reliability, scalability and failures.
- Streaming technology exposure: Build or extend knowledge of Kafka and event-driven architecture, valuable in real-time data applications.
- Data engineering opportunities: Develop practical understanding of ingestion, transformation, persistence and data lifecycle management.
- Cloud-native engineering: Gain exposure to platforms designed for scale, availability and operational resilience.
๐ ๏ธ Skills Required
- Programming: Java or Python, object-oriented programming, data structures, algorithms, exception handling and clean-code practices.
- Apache Kafka: Topics, partitions, producers, consumers, consumer groups, offsets, delivery guarantees and event ordering.
- Distributed systems: Service communication, retries, timeouts, fault tolerance, concurrency and idempotency.
- Data engineering fundamentals: Data ingestion, transformation, schema evolution, data modelling and data integrity.
- Cloud and storage: Familiarity with cloud-based data platforms and distributed storage.
- Software design: Design patterns, maintainable architecture, documentation and code reviews.
- Agile collaboration: Sprint planning, requirement analysis and cross-functional teamwork.
- Additional advantages: Big data technologies, AI/ML-enabled data processing and AI-assisted development tools.
๐ฏ Preparation Tips
- Practise a Kafka pipeline: Build a small Java or Python application where a producer publishes events and a consumer processes them. Explain how you would handle failures and duplicate messages.
- Understand delivery guarantees: Revise at-most-once, at-least-once and exactly-once processing concepts, including their practical trade-offs.
- Prepare a system-design scenario: Explain how you would design a reliable event pipeline that ingests millions of events, processes them and makes results available to downstream services.
- Study data integrity: Prepare examples involving invalid schemas, missing fields, duplicate events and inconsistent records.
- Revise production troubleshooting: Discuss consumer lag, failed processing, retries, backpressure and monitoring.
- Demonstrate engineering ownership: Prepare a real example of improving system performance, reliability, maintainability or test coverage.
๐งโ๐ป Expected Interview Rounds at UKG
- Recruiter screening: Experience, education, location, hybrid-work expectations and career background.
- Coding assessment: Java/Python, data structures, algorithms and problem-solving.
- Technical interview: Distributed systems, Kafka, data pipelines, debugging and software design.
- System-design discussion: Scalability, reliability, event processing, data integrity and failure recovery.
- Hiring manager or behavioral round: Ownership, collaboration, communication and examples of delivering production-quality solutions.
๐ฐ Expected Salary Range
The job listing does not disclose compensation. As an unofficial estimate, experienced candidates applying for comparable software engineering roles in Noida might use โน18โ32 LPA as a broad discussion range. Actual compensation will depend on experience, technical depth, internal level and the overall package; this is not a confirmed UKG salary band.
๐ Resume Tips
- Highlight Java/Python, Kafka, distributed systems and data pipelines prominently when supported by your experience.
- Quantify improvements in throughput, latency, reliability or processing time using genuine metrics.
- Describe a system you designed, maintained or debugged, including your individual contribution.
- Mention cloud platforms, storage technologies, automated tests and monitoring tools you have actually used.
- Include examples of handling data quality, retries, duplicate events or service failures.
- Demonstrate collaboration with product and engineering teams, not just coding responsibilities.
๐จ How to Apply
๐ Application Link: Click Here
๐ค Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at UKG and request a referralโit can significantly enhance your visibility in the hiring process.
Search for UKG Software Engineer II โ Eng, using job ID SOFTW020394, on UKG’s careers platform. Review the eligibility requirements and hybrid-work arrangement, then submit your updated resume through the application process if the position is available.
Final Thoughts: This role is a strong option for experienced engineers interested in Kafka, distributed systems and scalable data platforms. Prepare concrete examples of system design, coding, event processing and production troubleshooting to demonstrate the engineering depth this position requires.
