Lead, Software Engineering

Bain & Company; Gurugram District; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Bain & Company is seeking an experienced Applications Engineer to design, develop, and maintain cloud-based AI applications. You’ll work with cross-functional teams to define analytics features and scale solutions across cloud environments.

The role requires 6+ years of experience, strong Python and backend skills, and frontend experience with React/Angular/Vue. Travel will be required as part of client projects, with a focus on delivering secure, data-driven results.

Qualifications

• Master’s degree in Computer Science, Engineering, or a related technical field.
• 6+ years of experience, with 3+ years at Senior or Staff level or equivalent.
• Experience with server-side technologies such as Django, Flask, FastAPI.
• Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS.
• Experience with cloud platforms (AWS, Azure, GCP) and Terraform (nice to have).
• 4+ years working knowledge of Python.
• Experience with DevOps, CI/CD, Git/GitHub Actions.
• Interest in LLMs, prompt engineering, LangChain.
• Experience with workflow orchestration (dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, etc.).
• Experience with large-scale databases, orchestration and containers like Docker or Kubernetes.
• Strong communication skills and ability to discuss complex engineering with cross-disciplinary teams.
• Willingness to travel regionally.

Responsibilities

• Design, develop, and maintain cloud-based AI applications with a full-stack tech stack.
• Collaborate with product managers, data scientists, and engineers to implement analytics features.
• Utilize Kubernetes and containers to deploy and scale analytics apps in cloud environments.
• Develop and maintain APIs and microservices for internal/external use with good API design.
• Implement security measures to protect data and ensure privacy compliance.
• Monitor and troubleshoot performance to improve reliability and latency.
• Participate in code reviews and enforce coding standards.
• Stay updated on cloud and analytics trends to enhance platform capabilities.
• Collaborate with DevOps to automate deployments and CI/CD processes.
• Work with business consulting teams to deliver analytics solutions across sectors.
• Educate and support analytics capabilities for clients.

Skills

Django

Flask

FastAPI

Python

React

Angular

Vue.js

HTML

CSS

AWS

Azure

GCP

Terraform

Docker

Kubernetes

Git

GitHub Actions

LangChain

Airflow

Education

Master’s degree in Computer Science, Engineering, or a related technical field

Tools

Docker

Kubernetes

Terraform

Git

GitHub Actions

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.