Senior Engineering Manager

LeadSquared; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

LeadSquared is seeking an Engineering Manager / Senior Engineering Manager to lead and scale high-performing engineering teams building modern, AI-driven products. This role requires strong people leadership and hands-on experience with full-stack systems and backend expertise, including scalable, production-grade platforms.

You will provide technical leadership across frontend and backend, drive architecture decisions, and mentor teams to deliver with accountability.

Qualifications

• Strong people leadership and team management experience.
• Experience with LLM-based agents or agentic AI systems.
• Proven ability to design scalable distributed architectures.
• Hands-on backend expertise with Java/Spring or Python/FastAPI.

Responsibilities

• Lead and mentor multiple engineering teams and manage delivery.
• Drive architecture decisions and system design.
• Own hiring, onboarding, and performance management.
• Collaborate with Product Managers to translate requirements into plans.

Skills

React

Java Spring Boot

Python FastAPI

Distributed systems

Cloud platforms (AWS/GCP)

CI/CD / DevOps

Observability

AI/ML platforms

Tools

CI/CD pipelines

Job description

Role Overview

We are looking for an Engineering Manager / Senior Engineering Manager to lead and scale high-performing engineering teams building modern, AI-driven products. This role requires strong people leadership, solid full-stack awareness with a backend expertise( preferred), and hands-on experience building LLM-based agents or agentic AI systems.

You will manage 1520 engineers, drive execution, and provide technical leadership for scalable, production-grade platforms.

Key Responsibilities

• Lead, mentor, and manage 1520 engineers across multiple teams.
• Own hiring, onboarding, performance management, and career development.
• Build a culture of engineering excellence, accountability, and high ownership.
• Balance strategic thinking with hands-on technical guidance when needed.

Technical Ownership Architecture

• Provide technical leadership across frontend and backend systems.
• Drive architecture, system design, and technical decision-making.
• Review designs and critical code paths; guide teams through complex engineering challenges.
• Ensure systems are scalable, secure, reliable, and observable.

AI / Agentic Systems

• Lead or contribute to building LLM-based agents or agentic AI products.
• Experience with agent orchestration, tool usage, context management, and evaluation.
• Exposure to voice bots / conversational AI is a strong plus.

Delivery Execution

• Own delivery commitments and sprint execution across POD s.
• Partner with Product Managers to translate requirements into execution plans.
• Proactively identify risks and ensure predictable, high-quality delivery.

Preferred Technical Skills (First Preference)

• Frontend (UI):
• React / JavaScript
• Backend (Preferred):
• Java with Spring Boot
• Python with FastAPI

Candidates with strong experience in other frontend or backend technologies are also welcome; however, the above stack is strongly preferred.

Other Technical Skills

• Experience designing and scaling distributed systems and APIs.
• Experience with cloud platforms (AWS or GCP).
• Familiarity with CI/CD, DevOps practices, and observability tools.
• Exposure to AI/ML platforms, prompt engineering, or MLOps is a plus.