Senior Engineering Manager - System Design

RattanIndia


Date: 3 weeks ago
City: Delhi, Delhi
Contract type: Full time
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

  • 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.
  • Education : BE/B. Tech/ME/M. Tech in Computer Science or related field.
  • Institutes : Tier 1 / Tier 2 preferred.
  • Sector/Companies : High-growth product startups, Big Tech, innovative MNCs with strong engineering cultures.
  • Years of experience : 8 to 14 years total engineering experience, with at least 3 years in a managerial or technical lead capacity. (ref:hirist.tech)

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