Senior Software Engineer

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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 have maintained a top four spot since 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 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 dedicated to solving complex challenges for our clients. We work closely with generalist consultants and clients to develop data-driven strategies and innovative solutions. Our collaborative and supportive environment fosters creativity and continuous learning, enabling us to deliver exceptional results and cutting-edge innovation.

WHAT YOU’LL DO

• Design, develop, and maintain cloud-based AI applications using a full-stack technology stack to deliver high-quality, scalable, and secure solutions.
• Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to define and implement analytics features that meet business requirements and user needs.
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring performance and availability.
• Develop and maintain APIs and microservices to expose analytics functionality, following best practices for design and documentation.
• Implement security measures to protect data and ensure compliance with privacy regulations.
• Monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience.
• Participate in code reviews and uphold coding standards and best practices for high-quality, maintainable code.
• Share knowledge on software engineering practices and stay current with emerging trends and technologies to enhance the analytics platform.
• Collaborate with DevOps teams to automate deployment, implement CI / CD pipelines, and optimize workflows.
• Work with business consulting teams to assess opportunities and develop analytics solutions across sectors.
• Support and influence clients' analytics application engineering capabilities.
• Travel may be required (up to 30%) due to the international nature of our business.

ABOUT YOU

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