Engineering Manager

Taoautomation; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Taoautomation in Bengaluru seeks an Engineering Manager – Intelligent Automation to lead a team of 12-15 engineers, shaping the Intelligent BPA platform using Azure, Kubernetes, MongoDB, SQL, Python and AI/LLMs. You will collaborate with product and business stakeholders to define roadmaps, ensure scalable architecture, oversee end-to-end delivery, and uphold quality and security standards.

The role requires 10-15 years of experience, strong leadership, communication, and hands-on capability in

Qualifications

• Experience leading software engineering teams in cloud-native environments.
• Strong knowledge of Azure services and Kubernetes.
• Proficiency in Python, MongoDB and SQL for backend data modeling.
• Experience with LLMs and AI-driven automation and RAG frameworks.

Responsibilities

• Lead the development of our Intelligent BPA platform leveraging Azure, Kubernetes, MongoDB, SQL, Python and AI/LLMs.
• Manage a 12-15 engineer team, collaborating with business stakeholders to deliver roadmap features.
• Own end-to-end delivery of features with timely, high-quality releases.
• Drive architecture evolution for scalability, reliability, and performance.

Skills

Team Leadership

Cloud & Infra

Backend & Data

AI & Automation

Stakeholder Engagement

Project Management

Architecture & Design

CI/CD & DevOps

Security & Quality

Communication Skills

Education

Bachelor's in Engineering or CS

Master's in Engineering or CS (Preferred)

Certifications (As Appropriate)

Tools

Azure

Kubernetes

Python

MongoDB

SQL

Git

CI/CD

LLMs

Job description

Company Description

TAO: The Automation Office is an independent, pure-play automation consulting and solutions provider based in Bengaluru. We believe in the power of automation solutions and their potential to revolutionize how companies’ function. As an end-to-end automation solutions partner, we work closely with clients to develop and implement automation strategies, ranging from basic RPA to advanced cognitive and machine learning solutions. Our value comes from our proprietary tools and frameworks, managed by the largest independent pool of experts and supported by best-in-class partnerships.

Job Description

Role: Engineering Manager – Intelligent Automation
Experience: 10-15 yrs
Work Location: Bangalore
Position Responsibilities: Experienced Engineering Manager to lead the development of our cutting-edge Intelligent Business Process Automation Platform. This platform leverages Azure, Kubernetes, MongoDB, SQL, Python and AI/LLMs to transform how businesses automate and optimize their operations.
You will lead a high-performing team of 12–15 engineers, collaborate closely with business stakeholders, and drive the build of innovative features that align with strategic goals.

Experience with the following technologies

• Team Leadership: Manage, mentor, and grow a team of software engineers, fostering a culture of innovation, collaboration, and continuous improvement.
• Platform Evolution: Drive the evolution of the platform’s architecture to support scalability, reliability, and performance.
• Technical Oversight: Make architectural decisions and ensure best practices in cloud-native development, container orchestration, and AI integration.
• Project Management: Own the end-to-end delivery of features and enhancements, ensuring timely and high-quality releases.
• Quality & Security: Champion code quality, testing, and security standards across the engineering team
• Stakeholder Engagement: Collaborate with product managers and business stakeholders to gather requirements, define roadmaps, and prioritize development efforts.

Required Skills & Experience with

• Cloud & Infrastructure:
  • Proficiency in Microsoft Azure services and architecture
  • Experience with Kubernetes for container orchestration and deployment
• Backend & Data:
  • Strong command of Python for backend development and scripting
  • Experience with MongoDB and SQL databases for data modeling and querying
• AI & Automation:
  • Experience with Large Language Models (LLMs) and AI-driven automation including working with intelligent extraction of unstructured and structured data, RAG frameworks
  • Understanding of intelligent workflow and business process automation concepts
• Leadership & Communication:
  • Proven ability to lead and scale engineering teams
  • Excellent communication skills for cross-functional collaboration\
  • Strong stakeholder management and product thinking
• Development Practices:
  • Strong fundamentals and experience in Enterprise Platform design principles
  • Hands-on experience with Technical Architectural design, CI/CD pipelines, version control (e.g., Git), and agile methodologies
  • Commitment to code quality, testing, and security best practices

Attributes

1. Good verbal and written communication skills including the ability to independently prepare and present high quality technical and business relevant content
2. Published technical papers or prior IP relevant to this role would be an added advantage

Qualification

• Graduation: Bachelors in engineering or Computer science
• Post-Graduation (Preferred): Master’s in Engineering or Computer Science
• Certifications: As Appropriate