Senior Engineering Manager

RattanIndia Enterprises Limited; New Delhi, Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

RattanIndia Enterprises Limited in Delhi is seeking a Senior Engineering Manager to lead a high-velocity full-stack team, championing AI-first development and the integration of Claude Code and autonomous agentic workflows. You will set technical direction, ensure scalability, and drive rapid prototyping where needed.

You will mentor engineers, shape architecture, and work closely with Product Managers to translate business needs into robust software delivery across frontend and backend domains.

Qualifications

• Must lead AI-first development, integrating AI coding assistants and agentic workflows.
• Strong design and architecture skills for scalable microservices and cloud environments.
• Proven ability to mentor teams, drive delivery, and collaborate with product managers.

Responsibilities

• Lead AI-first development culture across the engineering team.
• Architectural leadership for frontend and backend systems; ensure scalable, maintainable solutions.
• Hands-on technical escalation: debug issues and prototype rapidly with AI assistance.
• Mentor and manage engineers, emphasizing prompt engineering with AI tools.
• Oversee end-to-end delivery, optimize workflows, remove bottlenecks.
• Collaborate with Product Managers to translate requirements into execution plans.

Skills

Backend (Python/Java)

Frontend (React)

AI Tooling

System Design

Cloud (AWS/Azure/GCP)

DevOps (CI/CD)

People Leadership

Tools

Claude Code

CLI agents

Job description

Senior Engineering Manager

1. Role Description (Need of the Role):

This role requires a seasoned technical leader who has evolved from a hands-on developer to a manager, and who embraces AI as a fundamental accelerator of the software development lifecycle. The manager will lead a team of full-stack engineers, setting technical direction and ensuring high-velocity execution by leveraging the latest AI tools and agentic workflows.

Key responsibilities include:

• Champion an AI-First Development Culture: Lead the adoption, integration, and optimization of AI-driven coding tools (e.g., Claude Code and emerging autonomous agents) across the engineering team. Continuously evaluate and implement new AI tools to maximize productivity.
• Architectural Leadership & Problem Solving: Define the technical approach for complex projects spanning both frontend and backend systems. Provide architectural oversight and guidance to ensure solutions are scalable, maintainable, and efficient.
• Hands-On Technical Deep Dive: Act as the primary technical escalation point. If the team is blocked, you must be capable of diving into the codebase, debugging complex issues, and developing solutions either directly or by effectively leveraging AI assistants for rapid prototyping and troubleshooting.
• Team Management and Mentorship: Manage and mentor a team of software engineers. Foster a culture of continuous learning, specifically guiding the team on effective prompt engineering and maximizing the utility of AI tools.
• Project Execution and Delivery: Oversee the end-to-end development lifecycle. Ensure timely delivery of high-quality software by optimizing workflows and removing bottlenecks.
• Cross-Functional Collaboration: Work closely with Product Managers and stakeholders to translate business requirements into technical execution plans.

Functional competencies (Must have skill):

Must Have:

• Strong Coding Foundations: High proficiency in at least one major backend language (e.g., Python, Java) AND familiarity with frontend frameworks (e.g., React).
• AI Tool Proficiency: Demonstrated experience using and integrating AI coding assistants (e.g., Claude Code, CLI agents) into daily workflows.
• System Design & Architecture: Proven ability to design scalable, distributed systems (understanding of microservices, databases, cloud architecture).
• Cloud Platforms: Experience with AWS, Azure, or GCP.
• DevOps Principles: Strong understanding of CI/CD pipelines, Git, and infrastructure as code.
• Technical Team Leadership: Prior experience managing or leading a software engineering team.

Good to Have:

• Agentic Workflows: Experience experimenting with or deploying autonomous coding agents (e.g., Jules, OpenAI Codex).
• Data Engineering Basics: Understanding of ETL processes and data warehousing.
• Vector Databases & RAG: Familiarity with concepts of embeddings and vector search.