*Applications must be submitted in English*WHAT MAKES US A GREAT PLACE TO WORKWe 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 the #1 consulting firm on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 13 years. We believe that diversity, inclusion and collaboration is 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 publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.WHO YOU'LL WORK WITHAs a member of Bain's Advanced Analytics Group, 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.WHAT YOU'LL DOAs a Senior Software Engineer, you will apply technical solutions to cutting-edge problems across various industries. You will be part of a diverse engineering team, participating in the full engineering life cycle. This includes designing, developing, optimizing, and deploying new software engineering solutions and infrastructure for the production scale of the world's largest companies.Collaborate closely with general consulting teams to identify software solutions to client business problems and execute those solutionsProvide technical guidance to external clients and internal stakeholders in BainPlay a key role in delivering technical solutions for client cases (from solution architecture to hands-on development work)Participate in the full software development life cycle including designing, writing documentation and unit/integration tests, and conducting code reviews for engineering solutionsParticipate in expert client advisory services that require knowledge in software engineering with distributed systems, AI, and application architectureDevelop and refine reusable common frameworks, models, and components to solve common software engineering challenges across industries and business functionsImplement and promote best practices in software engineering, sharing insights with team members about theoretical and technical advancementsContribute to industry-leading innovations that translate into great impact for our clients in caseworkStay current with emerging trends and technologies in cloud computing, data analysis, and software engineeringTravel is required (30%)ABOUT YOUBachelor's or Master's degree in Computer Science or a related technical field and/or equivalent experienceRelevant academic or industry experience in web development, programming languages, version control, software design pattern, infrastructure and deployment, integration and unit testing implementation4 years minimum experienceWorking knowledge (2-3 years) of Python**Experience with server-side frameworks and technologies such as FastAPI, Node.js, Flask.Experience with Cloud platforms and services (AWS, Azure, GCP, etc.)Experience with administering and managing Kubernetes clusters (EKS, GCP, or AKS)Experience with DevOps, CI/CD, Github ActionsStrong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.Knowledge of data architecture, database schema design, database scalability and SQLKnowledge of client-side technologies such as React, Angular, Vue.js, HTML and CSSAwareness of agile development methodologies and principlesStrong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplinesCuriosity, proactivity and critical thinkingAbility to collaborate with people at all levels and with multi-office/region teams
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