Principal Software Engineer

Clinisys Group; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Clinisys Group in Bengaluru is seeking a Principal Software Engineer with 8-11+ years of experience to lead AI-enhanced software development. You will define scalable architectures, drive high-quality design, and mentor teams while leveraging AI tools across the lifecycle.

You will work with .NET Framework / .NET Core, Oracle databases, and modern patterns, guiding AI-driven coding, reviews, and documentation, while shaping technology roadmaps with product and engineering leadership.

Qualifications

• 8–11+ years of senior software engineering experience.
• Strong leadership with AI-assisted software development.
• Expertise in .NET, Oracle, and AI-driven tooling.

Responsibilities

• Lead architecture and design of AI-enhanced enterprise software.
• Use AI tools for code analysis, generation, reviews, and docs.
• Design systems with AI-assisted modeling and design.
• Create and manage AI agents and instruction files.
• Hands-on development with .NET Framework / .NET Core.
• Integrate Oracle and other RDBMS systems.
• Identify risks and mitigation using AI insights.
• Guide teams in AI-driven development workflows.
• Collaborate on technology roadmaps with PM and Eng leadership.
• Champion automation and engineering excellence.

Skills

AI adoption

Architecture design

C# / .NET

Prompt engineering

Leadership

Communication

Problem solving

Agile / Scrum

Code review

Refactoring

Education

Bachelor’s degree in CS/SE

Master’s degree preferred

Tools

Oracle

PL/SQL

AI tools

Veracode

Acunetix

Git / CI/CD

Job description

Role Summary

The Principal Software Engineer is a senior technical leader(8-11+ years) with a strong emphasis on Artificial Intelligenceassisted software engineering. This role is responsible for defining scalable software architecture, driving high-quality design, and leading teams by effectively leveraging AI tools and AI agents throughout the software development lifecycle. The individual is expected to combine deep expertise in .NET technologies, relational database systems, modern software architecture and design methodologies with advanced capabilities in AI-driven code generation, analysis, design, and documentation.

Key Responsibilities

• Lead architecture and design of enterprise-grade software solutions with strong AI-assisted design practices.
• Leverage AI tools to perform code analysis, generate code, conduct code reviews, and produce high-quality technical documentation.
• Design and build system and software architecture using AI-assisted modeling and design techniques.
• Create, maintain, and evolve AI agents or AI instruction files to support technical and functional aspects of the product.
• Provide hands‑on development using .NET Framework / .NET Core, Entity Framework.
• Design, optimize, and integrate Oracle and other RDBMS-based systems.
• Identify technical risks, perform impact analysis, and define mitigation strategies using AI insights where applicable.
• Guide teams in adopting AI-driven development workflows to improve productivity and quality.
• Collaborate with Product Management and Engineering Leadership on technology and AI adoption roadmaps.
• Champion automation, AI enablement, and continuous engineering excellence.

Technical Skills

• Strong experience with .NET Framework / .NET Core, C#, ASP.NET, MVC, Entity Framework and related Microsoft technologies.
• Strong knowledge of Oracle databases, PL‑SQL, RDBMS systems and enterprise data modeling.
• Extensive experience using AI-powered development tools for code generation, code analysis, refactoring, and documentation.
• Proven ability to design and create AI agents and AI instruction files to support development, testing, and functional workflows.
• Skilled in prompt engineering, capable of creating clear, effective, and reusable prompts.
• Experience generating software design artifacts and system architecture using AI-assisted approaches.
• Experience in frontend technologies - React, Javascript.
• Expertise in software design principles, OOAD, and design patterns.
• Experience with multi-tier, micro-services, and enterprise-scale architectures.
• Experience with source control systems, CI/CD pipelines, DevOps troubleshooting, Cloud Services and Agile methodologies like Scrum.
• Experience in code assessment tools - Veracode, Acunetix.

Leadership & Soft Skills

• Proven ability to lead teams through technical influence with a strong focus on AI adoption.
• Ability to guide and mentor team members in effective prompt engineering and responsible AI usage.
• Strong analytical and problem‑solving skills, leveraging AI insights to improve decision‑making.
• Excellent communication skills, capable of explaining solutions to both technical and non‑technical stakeholders.
• Demonstrated capability to upskill teams on various technologies and enhance overall AI usage maturity across the product.

Education

Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.

Master’s degree is preferred.