Lead Full-Stack Engineer (Client Delivery)

Bain & Company

Gurugram District

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+

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Job summary

A leading consulting firm in Gurugram is seeking a Lead Full-Stack Engineer to design and develop cloud-based AI applications. This role requires expertise in both client-side and server-side technologies. You will collaborate with interdisciplinary teams to deliver scalable solutions that meet client needs. The ideal candidate holds a Master's degree and has extensive experience with frameworks such as React, Python, and cloud services. This is a full-time position with a commitment to quality and innovation.

Qualifications

6+ years of relevant experience at Senior or Staff level.
Demonstrated experience with client-side and server-side technologies.
Expertise in cloud platforms and services.

Responsibilities

Design and develop cloud-based AI applications.
Collaborate with cross-functional teams to define analytics features.
Implement robust security measures to protect sensitive data.

Skills

React

Angular

Vue.js

HTML

CSS

Python

Git

DevOps

CI/CD

Prompt engineering

Education

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

Tools

AWS

Azure

GCP

Terraform

Docker

Kubernetes

Job description

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We are proud to be consistently recognized as one of the world’s best places to work. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. 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
Travel is required (30%)
ABOUT YOU
Required
Master’s degree in Computer Science, Engineering, or a related technical field.
6+ years at Senior or Staff level, or equivalent
Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS
Experience with server-side technologies such as, Django, Flask,Fast API
Experience with cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)
3+ years of Python expertise
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