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

UKG; Dadri; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

UKG is seeking an experienced software professional in India to design, build, test, and deploy robust software systems. You will work across architecture, development, testing, and operations, with emphasis on AI-enabled features and scalable designs.

The role requires strong coding skills in C#, .NET, and JavaScript, plus hands-on cloud and DevOps experience. You will mentor junior engineers and contribute to high-quality product outcomes.

Qualifications

• Bachelor's degree in computer science or related field or equivalent practical experience.
• 4+ years of professional software development experience.
• Proficient in C#, .NET and JavaScript with strong coding practices.
• Experience with cloud platforms and DevOps principles.
• Hands-on AI/ML capabilities integration in production software.

Responsibilities

• Write clean, maintainable, and efficient code for software applications.
• Lead design reviews and contribute to scalable architectures.
• Manage feature delivery, priorities, and deadlines in projects.
• Review code and ensure unit tests, observability and quality.
• Develop and automate tests using frameworks and patterns.
• Maintain service health, incident response, and telemetry.
• Own DevOps responsibilities from design to deployment.
• Explore AI feature ownership and integrate AI into products.
• Document features and provide training materials.

Skills

C#

JavaScript

.NET

Software design patterns

Agile methodologies

AI/ML integration

Prompt engineering

Cloud technologies

CI/CD

Test automation

Communication skills

Education

Bachelor's degree in computer science, Engineering, or related technical field

Tools

GitHub

JIRA

Azure

AWS

GCP

CI/CD tools

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.