Lead, Software Engineering

Bain & Company; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Bain & Company in Bengaluru is seeking an Application Engineering professional with 6+ years of experience to design, build, and scale cloud-based AI applications. You will work with data scientists, engineers, and product managers to implement analytics features, deploy on Kubernetes, and expose robust APIs.

You will also contribute to security, performance, and CI/CD practices while staying current with AI trends and data engineering best practices. Travel is required across regions.

Qualifications

• 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 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) via Terraform is a plus.
• 4+ years of Python experience.
• Proficient with Git for versioning and collaboration.
• Experience with DevOps, CI/CD, Github Actions.
• Interest in LLMs, Prompt engineering, Langchain.
• Experience with workflow orchestration (dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, etc.).
• Experience with large-scale databases and container orchestration (Docker/Kubernetes).
• Strong communication and ability to explain complex engineering topics to non-technical stakeholders.
• Curiosity, proactivity, critical thinking, and solid CS fundamentals.

Responsibilities

• Design, develop, and maintain cloud-based AI applications with a full-stack approach.
• Collaborate with product managers, data scientists, and engineers to implement analytics features.
• Utilize Kubernetes to deploy, manage, and scale analytics apps in cloud environments.
• Develop APIs and microservices with robust documentation.
• Implement security measures to protect data and ensure compliance.
• Monitor performance and troubleshoot to improve reliability and latency.
• Participate in code reviews and set coding standards.
• Stay current with cloud analytics trends and technologies.
• Collaborate with DevOps to automate deployment and CI/CD processes.
• Engage with business consultants to deliver analytics solutions across sectors.

Skills

Python

Django

Flask

FastAPI

React

Angular

Vue.js

HTML

CSS

Terraform

AWS

Azure

GCP

Kubernetes

Docker

Git

CI/CD

Github Actions

Langchain

Airflow

Luigy

Metaflow

Kubeflow

Education

Master's degree in Computer Science or related field

Tools

Git

Terraform

Docker

Kubernetes

CI/CD tooling

Beam

Airflow

Job description

WHAT MAKES US A GREAT PLACE TO WORK

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.
• Strong knowledge in designing API interfaces
• Knowledge of data architecture, database schema design and database scalability
• Agile development methodologies
• 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.