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 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.
WHAT YOU’LL DO
As an Expert Senior Manager, Software Engineering, you will lead the development and application of technical solutions to address complex problems in various industries.
- Collaborate closely with and influence general consulting teams to identify software solutions to client business problems, and to appropriately scope, prioritize and execute those solutions
- Overall technical leader responsible for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
- Lead the entire software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, unit/integration tests, identifying issues and resolutions
- Participate in expert client advisory activities that require deep expertise software engineering with distributed systems and application architecture
- Drive best demonstrated practices in software engineering, and share learnings with team members in AIS about theoretical and technical developments in software engineering
- Drive industry-leading innovations that translate into great impact for our clients in case work
- Travel is required (30%)
- Location: Shanghai (Hybrid)
ABOUT YOU
Required
- 8+ years of relevant professional hands-on experience in software development, version control, software design pattern, infrastructure and deployment, integration and unit testing implementation
- 3 years minimum experience managing software engineers
- Master’s degree in computer science, Engineering, or a related technical field
- Commercial acumen and understanding of business models
- Experience leading multiple projects independently and growing and developing more junior engineers
Technical Skills and Knowledge:
- Track record of shipping production, enterprise scale AI applications and data analytics products.
- Expert knowledge (5+ years) of Python
- Good to have experience developing AI-driven applications and solutions
- Experience in using Dify, Aliyun Model Studio to develop Genenarative AI applications
- Familar with the foundation model players in both global and China market
- Experience with AI Agent development frameworks such as Langchain
- Experience with Cloud platforms and services (Ali Cloud, Azure, AWS, etc.)
- Experience working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform)
- Hands-on experience in designing and optimizing OLTP systems for real-time processing, as well as building scalable OLAP data pipelines for batch and streaming analytics
- Understanding of data security and privacy regulations, key topics in cybersecurity, authentication and authorization mechanisms (including cloud IAM)
Interpersonal Skills:
- Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
- Curiosity in AI trend, proactivity and critical thinking
- Ability to collaborate with people at all levels and with multi-office/region teams
- Ability to work independently and juggle priorities to thrive in a fast paced and ambiguous environment, while also collaborating as part of a team in complex situations
