Senior Software Engineering Lead

Cherry Bekaert LLP; India; On-site; INR 3,800,000 - 6,000,000; Full time

Job summary

Cherry Bekaert LLP in India is seeking a Senior Software Engineering Lead (Hands-on AI & Full Stack) to drive architecture, design, and delivery of complex AI-powered platforms. This leader will remain hands-on while guiding 8–10 engineers, maintaining high coding standards and delivering scalable solutions.

The role requires deep expertise in React, Next.js, TypeScript, Python, Flask, and cloud-based architectures, with 2–3 years of AI/GenAI hands-on work and strong collaboration across

Qualifications

• 12–14 years of software engineering experience.
• 3+ years leading teams of 6–10 engineers.
• Hands-on coding in the last 2–3 years.
• Proven experience delivering multiple software projects through engineering teams.
• Strong expertise in React, Next.js, TypeScript, Python and Flask.
• Experience designing and building REST APIs.
• Strong software architecture and system design experience.
• Experience with SQL databases, Docker, CI/CD and cloud platforms.
• Strong understanding of secure coding practices and application security
• Experience with Agile delivery models.
• Minimum 2–3 years of hands-on experience working on AI and Generative AI projects.
• Experience designing, developing or integrating LLM-powered applications, AI agents, RAG solutions, prompt engineering, vector databases and AI application architecture.
• Experience leading or mentoring AI/GenAI developers while remaining technically involved.
• Ability to evaluate AI solution designs, model selection approaches, scalability, security and production readiness.

Responsibilities

• Lead the design and development of scalable and maintainable applications using React, Next.js, TypeScript, Python and Flask.
• Drive technical design discussions and make pragmatic architecture decisions.
• Review critical code changes and establish high engineering standards around maintainability, security, performance and scalability.
• Actively participate in development activities and contribute hands-on to complex features, technical spikes and critical components.
• Identify and address technical debt, performance bottlenecks and architectural risks.
• Own end-to-end delivery of features and projects through a team of 8-10 software engineers.
• Break down business requirements into executable technical work.
• Plan and coordinate work across frontend and backend developers.
• Proactively manage dependencies, risks, blockers and delivery commitments.
• Drive Agile ceremonies including sprint planning, backlog refinement and retrospectives.
• Ensure predictable delivery while maintaining engineering quality.
• Provide day-to-day technical leadership and mentoring for developers.
• Coach engineers through design reviews, pair programming and code reviews.
• Help build technical capability across the team.
• Participate in technical hiring and evaluation of engineering talent.

Skills

Team leadership

Hands-on coding

Software architecture

Agile delivery

AI/GenAI expertise

Code reviews

Tools

React

Next.js

TypeScript

Python

Flask

Docker

CI/CD

Cloud

LLM integration

Vector databases

Job description

Senior Software Engineering Lead (Hands-on AI & Full Stack)

ABOUT THE ROLE

We are looking for a highly technical, hands-on Software Engineering Leader who combines deep software development expertise with proven experience leading the successful delivery of complex products, platforms, and AI-powered solutions.

This is a player-coach role, not a people-manager-only position. The ideal candidate is currently hands-on in software development, architecture, code reviews, and technical problem-solving while leading a team of 8-10 engineers.

If you have moved completely away from coding and are primarily focused on project/program management, this role will not be a fit.

What You Will Do

Technical Leadership

• Lead the design and development of scalable and maintainable applications using React, Next.js, TypeScript, Python and Flask.
• Drive technical design discussions and make pragmatic architecture decisions aligned with business and engineering goals.
• Review critical code changes and establish high engineering standards around maintainability, security, performance and scalability.
• Actively participate in development activities and contribute hands-on to complex features, technical spikes and critical components.
• Identify and address technical debt, performance bottlenecks and architectural risks.

Delivery Leadership

• Own end-to-end delivery of features and projects through a team of 8-10 software engineers.
• Break down business requirements into executable technical work.
• Plan and coordinate work across frontend and backend developers.
• Proactively manage dependencies, risks, blockers and delivery commitments.
• Drive Agile ceremonies including sprint planning, backlog refinement and retrospectives.
• Ensure predictable delivery while maintaining engineering quality.
• Provide day-to-day technical leadership and mentoring for developers.
• Coach engineers through design reviews, pair programming and code reviews.
• Help build technical capability across the team.
• Participate in technical hiring and evaluation of engineering talent.

MUST HAVE EXPERIENCE

• 12-14 years of software engineering experience.
• Minimum 3+ years leading teams of 6-10 engineers.
• Strong hands-on coding experience in the last 2-3 years.
• Proven experience delivering multiple software projects through engineering teams.
• Strong expertise in React, Next.js, TypeScript, Python and Flask.
• Experience designing and building REST APIs.
• Strong software architecture and system design experience.
• Experience with SQL databases, Docker, CI/CD and cloud platforms.
• Strong understanding of secure coding practices and application security
• Experience with Agile delivery models.
• Minimum 2-3 years of hands-on experience working on AI and Generative AI projects.
• Experience designing, developing or integrating LLM-powered applications, AI agents, RAG solutions, prompt engineering, vector databases and AI application architecture.
• Experience leading or mentoring AI/GenAI developers while remaining technically involved.
• Ability to evaluate AI solution designs, model selection approaches, scalability, security and production readiness.

PREFERRED

• Azure or AWS cloud experience.