Software Engineer III- Eng (.Net + AI) Noida,UP,India Software & Product Development

UKG; Dadri; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

UKG is seeking a Software Development leader to write clean, scalable code across diverse applications and systems.

You will design, develop, test, and deploy features with emphasis on quality, performance, and maintainability, while guiding peers and mentoring junior engineers.

Expect ownership of AI features, architectural decisions, DevOps practices, and close collaboration with product and ops teams.

Qualifications

• Bachelor's degree in computer science, engineering, or related field, or equivalent experience.
• 4+ years of professional software development experience.
• Deep expertise in C#, .NET, and JavaScript.
• Extensive experience with software development practices and design patterns.
• Proficiency with GitHub and JIRA.
• Understanding of cloud technologies and DevOps principles.
• Hands-on AI/ML integration in production systems; evaluate AI tradeoffs.
• Proficient use of AI-assisted development tools to accelerate design and code review.
• Experience with prompt engineering for product features or engineering tooling.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Familiarity with CI/CD pipelines and automation tools.
• Experience with test automation frameworks and tools.
• Knowledge of agile development methodologies.
• Familiarity with accessible technologies.
• Excellent communication and interpersonal skills.

Responsibilities

• Write clean, maintainable, and efficient code for various software applications and systems.
• Design, develop, and deploy complex software with high quality and performance.
• Manage execution and delivery of features and projects, negotiating priorities and deadlines.
• Participate in design reviews and architectural design for scalability and reliability.
• Diligently review code and provide feedback to maintain high technical standards.
• Build tests, participate in testing, and automate using tools; apply test pyramid.
• Maintain health and quality of services; conduct root cause analysis and preventive actions.
• Own DevOps lifecycle from requirements to deployment and maintenance.
• Design, build, and integrate AI/ML capabilities into production software.
• Document new features and improvements; contribute to training materials.
• Mentor P1/P2 engineers on engineering best practices and AI workflows.

Skills

C#

.NET

JavaScript

AI/ML

Git

JIRA

Cloud Platforms

CI/CD

Prompt Engineering

Education

Bachelor's degree or equivalent

Tools

GitHub Copilot

Claude

Cursor

JUnit

Selenium

Pytest

Job description

Software Development

Write clean, maintainable, and efficient code for various software applications and systems.

Technical Leadership

Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance.

Project Management

Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion with quality.

Architectural Design

Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability.

Code Review

Diligently review code developed by other engineers; provide feedback and maintain a high bar of technical excellence ensuring adherence to coding guidelines, observability, and unit test coverage.

Testing

Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., JUnit, Selenium, Pytest) and design patterns leveraging the test automation pyramid.

Service Health and Quality

Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry; conduct root cause analysis and drive preventive measures.

DevOps Model

Take full ownership from requirements through design, develop, test, deploy, and maintain in a DevOps model.

AI Feature Ownership

Design, build, and integrate AI/ML capabilities into production software systems; evaluate AI architectural tradeoffs and select appropriate approaches for given product features and use cases.

Documentation

Properly document new features, enhancements, or fixes to the product, contributing to training materials.

Mentorship

Guide and mentor P1/P2 engineers on engineering best practices, design thinking, and effective use of AI-augmented development workflows.

Qualifications

• Bachelor's degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• 4+ years of professional software development experience.
• Deep expertise in one or more programming languages such as C#, .NET and JavaScript.
• Extensive experience with software development practices and design patterns.
• Proficiency with version control systems (e.g., GitHub) and work tracking systems (e.g., JIRA).
• Understanding of cloud technologies and DevOps principles.
• Hands-on experience designing, building, or integrating AI/ML capabilities into production software systems; ability to evaluate AI architectural tradeoffs and select appropriate approaches for product use cases.
• Proficient use of AI-assisted development tools (e.g., Claude, GitHub Copilot, Cursor) to accelerate design, implementation, and code review cycles; ability to validate and improve AI-generated outputs against quality, security, and performance standards.
• Experience with prompt engineering techniques applied to real product features, customer-facing experiences, or engineering tooling.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Familiarity with CI/CD pipelines and automation tools.
• Experience with test automation frameworks and tools.
• Knowledge of agile development methodologies.
• Familiarity with developing accessible technologies.
• Excellent communication and interpersonal skills.