Lead Full-stack Engineer (client Facing Role) Job in Bain & Company

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG)
Company: Bain & Company
Job Type: Full-Time
Employment Type: Permanent

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, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents.

Who You ll Work With:

As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply.

What You ll Do:

As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors.

• Cloud-Based AI Development:
  Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions.

• Cross-Functional Collaboration:
  Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements.

• Cloud and Containerization:
  Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance.

• API & Microservices Development:
  Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation.

• Security and Compliance:
  Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations.

• Troubleshooting and Performance Monitoring:
  Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience.

• Code Reviews and Best Practices:
  Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code.

• Emerging Trends and Technologies:
  Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities.

• Collaboration with DevOps:
  Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow.

• Client Collaboration:
  Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors.

• Education and Influence:
  Influence and educate clients on analytics application engineering capabilities, supporting their teams directly.

• Travel:
  Expect occasional travel (30%) for project work.

About You:

Required Qualifications:

• Education:

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

• Experience:

  • 3+ years of experience at Senior or Staff level, or equivalent.
  • Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS.
  • Experience with server-side technologies such as Django, Flask, and Fast API.
  • Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have).
  • 3+ years of expertise in Python.
  • Experience using Git for version control and collaboration.
  • Familiarity with DevOps, CI/CD, and tools like GitHub Actions.
  • Demonstrated interest in LLMs, prompt engineering, and Langchain.
  • Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar.
  • Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes.

• Skills and Knowledge:

  • Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines.
  • Curiosity, proactivity, and critical thinking.
  • Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture.
  • Expertise in designing API interfaces and knowledge of data architecture and database schema design.
  • Familiarity with agile development methodologies.

Join Bain & Company:

Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI.