Lead, Software Engineering

Bain & Company; Mumbai; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Bain & Company in Mumbai seeks an experienced Analytics Application Engineer to design, develop and maintain cloud-based AI applications with a full-stack stack. You will collaborate with product managers, data scientists, and engineers to deliver scalable, secure analytics solutions.

Role requires 6+ years experience, Senior/Staff level, strong Python, Django/Flask/FastAPI, React/Angular/Vue, and familiarity with AWS/Azure/GCP plus Terraform. Travel to client sites is expected.

Qualifications

• Master’s degree in Computer Science, Engineering, or a related technical field.
• 6+ years of experience with 3+ years in Senior or Staff roles.
• Strong Python background and server-side tech stack (Django/Flask/FastAPI).
• Solid front-end experience with React/Angular/Vue.js and HTML/CSS.
• Cloud platforms (AWS/Azure/GCP) and Terraform exposure.
• Experience with DevOps, CI/CD, and Git/Github Actions.
• Familiarity with LLMs, Langchain, and large-scale data workflows.

Responsibilities

• Design, develop, and maintain cloud-based AI applications using full-stack tech.
• Collaborate with product managers, data scientists, and other engineers.
• Utilize Kubernetes and containerization for deployment and scaling.
• Develop and maintain APIs and microservices with proper documentation.
• Implement robust security measures and data privacy compliance.
• Monitor performance, troubleshoot issues, and ensure reliability.
• Participate in code reviews and enforce coding standards.
• Stay updated on cloud, data analytics, and software engineering trends.
• Collaborate with DevOps to automate deployments and CI/CD pipelines.
• Travel is required to client sites and project locations.

Skills

6+ years experience

Senior/Staff level

Python

Langchain

LLMs

Education

Master’s degree in Computer Science/Engineering

Tools

Django

Flask

FastAPI

React

Angular

Vue.js

HTML

CSS

AWS

Azure

GCP

Terraform

Python (tool)

Git

Github Actions

dbt

Beam

Airflow

Luigi

Metaflow

Kubeflow

Docker

Kubernetes

Job description

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.

WHO YOU’LL WORK WITH

You’ll join our Application Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHAT YOU’LL DO

• Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions.
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs.
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability.
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation.
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience.
• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code.
• Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform.
• Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team.
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors.
• Influence, educate and directly support the analytics application engineering capabilities of our clients
• ABOUT YOU
  Required
• Master’s degree in Computer Science, Engineering, or a related technical field.
• 6 years minimum experience, 3+ years at Senior or Staff level, or equivalent
• Experience with server-side (back-end) technologies such as, Django, Flask, Fast API
• Experience with client-side (front-end) technologies such as React, Angular, Vue.js, HTML and CSS
• Experience with cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)
• Working knowledge (4+ years) of Python
• Use Git as your main tool for versioning and collaborating
• Experience with DevOps, CI/CD, Github Actions
• Demonstrated interest with LLMs, Prompt engineering, Langchain
• Experience with workflow orchestration - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other
• Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes
• Strong interpersonal and communication skills, including the ability to explain and discuss complex engineering technicalities with colleagues and clients from other disciplines at their level of cognition
• Curiosity, proactivity and critical thinking
• Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
• Knowledge of data architecture, database schema design and database scalability
• Travel is required. This position requires regional travel away from your home office/primary working location. Travel frequency and destinations will vary based on project needs.