UKG

Staff Software Engineer- Eng

UKG  •  Republic of India (Onsite)  •  1 day ago
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Job Description

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do.

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.


Responsibilities:
• AI-Augmented Development - Use AI coding tools for development, refactoring, debugging, testing, and documentation. Validate all AI-generated output, own what ships, and model responsible AI-assisted engineering practices.
• Full Stack Engineering - Build and deliver production-grade features across the stack using Java, Spring Boot, Angular, and TypeScript, with strong API design, security, scalability, and end-to-end ownership.
• Micro Frontend Architecture - Design and implement micro frontend architectures that reduce coupling, support independent deployment, and fit the product’s actual needs.
• Agentic Workflow Implementation - Build agentic AI workflows with clear task boundaries, handoffs, and quality gates, and apply them where they add meaningful value.
• LLM Integration - Integrate LLM APIs into product features and internal tools using structured outputs, tool use, and the right mix of prompting, RAG, or fine-tuning.
• Prompt Engineering & Context Management - Create structured prompts, manage context carefully, improve output quality systematically, and balance reliability with token efficiency.
• Spec-Driven Development - Write clear specifications before coding, use AI to strengthen them, and reduce ambiguity and rework.
• Quality Gates & Engineering Excellence - Maintain high quality standards, validate AI-generated work, and drive strong engineering and testing practices.
• AI-Assisted Code Review - Use AI to strengthen code reviews, identify risks, and provide clear feedback while ensuring compliance with team standards and security expectations.
• AI-Assisted Testing - Build testable software, use AI to improve test coverage and edge-case detection, and ensure test quality across the stack.
• Service Health & Observability - Build strong observability into services, monitor proactively, and drive root-cause fixes for production issues.
• DevOps Ownership - Own the full service lifecycle, including delivery, deployment, CI/CD, containerisation, and production operations.
• Leadership & Mentorship - Lead technical decisions, coordinate delivery, mentor engineers, and promote a culture of learning, ownership, and excellence.
• Documentation - Create and maintain clear technical documentation, using AI to accelerate drafting while ensuring human-reviewed accuracy.
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MINIMUM QUALIFICATIONS
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Education & Experience
- Bachelor's or Master's degree in Computer Science, Engineering, or a
related technical field, or equivalent experience demonstrated through
a portfolio of delivered work.
- 7+ years of professional software development experience.

Full Stack Technical Skills
- Java and Spring Boot — RESTful API design, microservices architecture,
and Spring Security for production-grade service security.
- Angular and TypeScript — component architecture, RxJS, state management,
and integration with enterprise component libraries.
- Micro Frontend Architecture — practical implementation experience with
Module Federation, Single-SPA, or equivalent MFE patterns.
- REST APIs: mandatory. GraphQL: strong advantage.
- OIDC / JWT-based authentication and authorisation.
- Internal service communication — Service Discovery and routing patterns
(e.g., Eureka, Consul, Spring Cloud Gateway).
- Distributed caching — hands-on experience with at least one of: Redis,
Memcached, or Hazelcast.
- Kafka or equivalent event-streaming platform — producer/consumer patterns
and event-driven architecture fundamentals.
- Relational databases: SQL Server or PostgreSQL — schema design and query
optimisation.
- Non-relational stores: MongoDB — data modelling and aggregation.
- Build tooling: Maven or Gradle.
- Backend testing: JUnit, Mockito, WireMock.
- Frontend testing: Jasmine / Jest and Cypress.
- Docker and Kubernetes.
- CI/CD pipeline ownership.
- Cloud platforms: Azure, AWS, or GCP.
- Observability: Datadog or Prometheus/Grafana — structured logging,
distributed tracing, metrics, and alerting.

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Preferred Qualification
- GraphQL API design and implementation experience.
- Consumer-driven contract testing — Pact or Spring Cloud Contract.
- Hazelcast distributed computing beyond caching — IMDG and distributed
computation patterns.
- Familiarity with vector databases (Pinecone, Weaviate, pgvector) for
RAG pipeline implementation.
- Exposure to AI observability — monitoring LLM latency, token consumption,
and output quality drift in production.
- Understanding of AI security fundamentals — prompt injection risks and
context leakage mitigations.
- Accessibility standards in Angular applications — WCAG compliance and
ARIA patterns.
- Commitment to diversity, equity, and inclusion in team building and
technical decision-making.

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

UKG

About UKG

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Unknown
Year Founded
Unknown
Website
ukg.com
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