Sr Staff Software Engineer

UKG; Dadri; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

UKG is seeking an experienced software engineer to lead and contribute hands-on across the full stack of an enterprise SaaS platform. You will design distributed systems, implement RESTful services, and optimize performance in cloud environments.

The role emphasizes strong debugging skills, production reliability, and mentoring teammates. Ideal candidates bring 10+ years of experience, deep Java expertise, and a passion for AI-assisted engineering and automation.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• 10+ years of professional software engineering experience, including building enterprise-scale software products.
• Strong hands-on proficiency in Java and backend service development, OOP, concurrency, and performance tuning.
• Experience with databases, SQL, schema design, indexing, query optimization, and transaction management.
• Experience designing distributed systems, microservices, REST APIs, and cloud-native apps.
• Hands-on with AWS, Azure, or GCP.
• Strong observability, logging, metrics, and production diagnostics experience.
• Proven troubleshooting across app, DB, infra, and integration layers.
• Strong performance engineering, profiling, load testing, caching, and scalability analysis.
• Ability to learn new tech quickly; familiarity with AI-assisted engineering tools is a plus.

Responsibilities

• Develop and maintain enterprise-scale software products.
• Design distributed systems, microservices and REST APIs.
• Build cloud-native applications on AWS/Azure/GCP.
• Ensure observability, monitoring, and production readiness.
• Troubleshoot complex issues across layers and optimize performance.
• Mentor engineers and contribute to technical direction.
• Explore AI-assisted coding and automation opportunities.

Skills

Java proficiency

Backend development

OOP design

Concurrency

Performance tuning

Cloud platforms

Observability

Troubleshooting

Performance engineering

AI-assisted tooling

Mentoring

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Kubernetes

Containers

CI/CD

DevOps practices

IaC

OpenTelemetry

Grafana

Prometheus

Kibana

Datadog

Job description

Role & responsibilities :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.


• 10+ years of professional software engineering experience, including experience building enterprise-scale software products.


• Strong hands-on proficiency in Java, backend service development, object-oriented design, concurrency, performance tuning, and modern Java frameworks.


• Strong experience with database technologies, SQL, schema design, indexing, query optimization, transaction management, and database performance troubleshooting.


• Experience designing and developing distributed systems, microservices, REST APIs, event-driven components, and cloud-native applications.


• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.


• Strong understanding of observability, monitoring, logging, tracing, metrics, alerting, and production diagnostics.


• Experience troubleshooting complex technical issues across application, database, infrastructure, and integration layers.


• Strong understanding of performance engineering, including profiling, load testing, caching, query tuning, and scalability analysis.


• Ability to learn new technologies quickly and apply them effectively in production-grade software development.


• Practical understanding of AI-assisted engineering tools, AI agents, and emerging automation capabilities.


• Strong communication, collaboration, problem-solving, and mentoring skills.

Preferred candidate profile :

• Experience working on large-scale enterprise SaaS products serving global customers.


• Experience contributing to technical roadmaps, platform modernization, cloud transformation, or technology stack evolution.


• Experience with Kubernetes, containers, CI/CD pipelines, DevOps practices, and Infrastructure as Code.


• Hands-on experience with observability tools such as OpenTelemetry, Grafana, Prometheus, Kibana, Splunk, Datadog, or similar platforms.


• Experience with distributed caching, messaging platforms, asynchronous processing, and event-driven architecture.


• Strong understanding of secure software development, authentication, authorization, data protection, and enterprise integration patterns.


• Experience using AI coding assistants, engineering agents, intelligent automation, or AI-enabled operational tooling.


• Demonstrated ability to mentor engineers while remaining deeply hands-on in design, coding, debugging, and delivery.

Key Attributes

• Strong hands-on developer who is ready to write code and solve hard technical problems.


• Fast learner who can evaluate and adopt new technologies pragmatically.


• Production-minded engineer with strong focus on reliability, observability, scalability, performance, and security.


• Practical technical leader who influences through code quality, engineering judgment, and collaboration.


• Comfortable troubleshooting deep technical issues and driving them to resolution.


• Curious and forward-looking engineer with strong interest in AI-first development and agent-based automation