General Information

Job Title
Expert Senior Manager, Software Engineering (Tech Lead)
Job ID
95221
Areas of Work
Technology & Engineering
Employment Type
Permanent Full-Time
Location(s)
Singapore

Description & Requirements

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 a Glassdoor Best Place to Work and we have maintained a spot in the top four since its founding in 2009. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. Bain offers comprehensive benefits and flexible policies that are designed to support you, so you can thrive personally and professionally.

WHO YOU’LL WORK WITH 

As a member of Bain’s AI, Insights & Solutions (AIS), you’ll join a talented team of diverse and inclusive analytic and engineering professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. to deliver cutting-edge innovation. 


 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. You will mentor and guide a diverse engineering team through the entire engineering life cycle. Your responsibilities will include designing, developing, optimizing, and deploying cutting-edge data engineering solutions and infrastructure at the production scale required by the world’s largest companies.

• 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

• Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common software engineering problems across industries and business functions

• Work with the team and other senior leaders to create a great working environment that attracts other great engineers

• Coach engineering teams at our clients and partners to raise their capabilities and ensure that our work is successfully deployed to the highest standards

• Drive best demonstrated practices in software engineering, and share learnings with team members in AAG about theoretical and technical developments in software engineering

• Drive industry-leading innovations that translate into great impact for our clients in case work

• Act as PD Advisor as needed

• Lead recruiting and onboarding for other team members

  • Travel is required (30%) 
  • Location: Singapore (Hybrid)

  


 ABOUT YOU

Required

• Minimum 12 years of relevant professional hands-on experience in web development, programming languages, 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

• Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask.

• Experience with Cloud platforms and services (AWS, Azure, GCP, 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)

• Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.

• Experience with data architecture, database schema design, database scalability and SQL

• Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS

• 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.

• Good to have experience developing AI-driven applications and solutions

• Understanding of data security and privacy regulations, key topics in cybersecurity, authentication and authorization mechanisms (including cloud IAM)

• Experience working according to agile principles

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, 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