Principal Software Engineer

Role Summary

The Principal Software Engineer is a senior technical leader(8-11+ years) with a strong emphasis on Artificial Intelligence–assisted 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.

Clinisys AI Philosophy

Building an AI‑first organisation is central to Clinisys purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function—to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve. We must drive an AI-first sense of purpose and urgency.

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

• Bachelors degree in Computer Science, Software Engineering, or equivalent practical experience.
• Masters degree is preferred.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.