Senior Software Engineer (Client Delivery)

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

•  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. 
• Champion best demonstrated practices in software engineering, and share learnings with team members in AIS about theoretical and technical developments in software engineering 
• 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 
• There may be significant travel requirements (up to 30%) due to the international nature of our business.

ABOUT YOU

Required

• Bachelors/Master’s degree in Computer Science, Engineering, or a related technical field is a plus.
• 4+ years of professional hands-on experience in web development, programming languages, version control, software design pattern, infrastructure and deployment, integration and unit testing implementation
• Experience with server-side technologies such as, Django, Flask, Fast API
• Experience with client-side 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 (3+ years) of Python
• Demonstrated interest with LLMs, Prompt engineering, Langchain
• Exposure to software architecture, DB design, scalability and SQL
• Experience with RDBMS (e.g. MySQL, PostgreSQL, SQLite, SQL Server, Oracle) and NoSQLs databases (e.g. MongoDB, Cassandra, Elasticsearch)
• Exposure to 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 knowledge in designing API interfaces 
• Knowledge of data architecture, database schema design and database scalability 
• 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. 
• Experience working according to agile principles