Principal Engineering Lead SaaS & AI Platforms
Location: Noida
Reports To: CTO
Experience: 1015+ Years
Role Overview
We are seeking a highly hands-on engineering leader who can help transform established loyalty and engagement products into AI-first, multi-tenant SaaS platforms while mentoring a lean engineering team and actively contributing to architecture, code, and delivery.

This role acts as the CTOs operational second-in-command. The successful candidate will be expected to understand existing products deeply, lead a team of senior and junior engineers, drive engineering excellence, accelerate delivery through AI-assisted development practices, and help shape the long-term platform strategy of the business.

This is not a pure management role. The ideal candidate should be comfortable spending significant time reviewing code, solving complex technical problems, designing architecture, and guiding implementation.
Key Responsibilities
Lead and mentor the engineering team across product development and platform initiatives.
Act as the CTOs trusted execution partner.
¢ Gain deep understanding of existing products, architecture, customer requirements, and technical debt.
¢ Drive the evolution of products toward multi-tenant SaaS platforms.
¢ Define and enforce engineering standards, architecture principles, and coding practices.
¢ Conduct architecture reviews and code reviews.
¢ Personally contribute to critical design and implementation activities.
¢ Improve engineering productivity through up-to-date AI-assisted development workflows.
¢ Partner with Product, Business Analysts, QA, and Leadership to deliver business outcomes.
¢ Drive release planning, sprint execution, quality, and delivery predictability.
¢ Recruit, mentor, and develop engineering talent.
¢ Establish scalable DevOps, observability, testing, and deployment practices.
Technical Expectations




¢ Strong expertise in C#, .NET Core, ASP.NET Core, SQL Server, and distributed systems.
¢ Experience with microservices, event-driven architectures, APIs, and cloud-native systems.
¢ Strong understanding of SaaS and multi-tenant platform design.
¢ Experience with tool like Docker, Kubernetes, CI/CD, Azure and/or AWS.
¢ Familiarity with Kafka, RabbitMQ, or similar messaging systems.
¢ Strong database design and performance optimization skills.
¢ Ability to evaluate and modernize existing architectures pragmatically.
AI-First Engineering Requirements
Candidates should demonstrate practical use of AI tools to accelerate software delivery.

Examples include:
¢ ChatGPT, GitHub Copilot, Cursor, Claude, Gemini, Windsurf, or similar tools.
¢ AI-assisted architecture design.
¢ AI-assisted coding and refactoring.
¢ AI-driven testing and test generation.
¢ AI-assisted debugging and root-cause analysis.
¢ Documentation and knowledge management using AI.
¢ Agentic workflows and engineering automation.

Candidates should be able to show measurable productivity improvements achieved through AI-assisted engineering.
Good to Have Domain Experience
Experience working on loyalty and rewards ecosystems, including loyalty platforms, channel incentive programs, dealer/retailer engagement solutions, points management systems, campaign engines, redemption workflows, gamification platforms, and B2B SaaS products.
Success Measures First 12 Months
¢ Gain complete understanding of current products and architecture.
¢ Become a trusted leader for the engineering team.
¢ Improve delivery velocity and engineering quality.
¢ Introduce AI-assisted engineering practices.
¢ Define and execute a multi-tenant platform roadmap.
¢ Reduce critical technical debt.
¢ Launch meaningful AI-powered product capabilities.
¢ Strengthen engineering culture and technical leadership.

📌 .NET Application Developer (Uttar Pradesh)
🏢 Reyika
📍 Uttar Pradesh