Bain & Company
Senior Associate, AI Application Engineering (Backend Engineer)
Bain & Company, Boston, Massachusetts, us, 02298
Qualifications
Bachelor's degree in computer science, engineering, or a related technical field2+ years of experience developing web applicationsYou think data first, and full stack second, but none of it scares youCompetency in backend programming languages – especially PythonStrong knowledge in designing API interfacesExperience with client-side technologies such as React, Angular, Vue.js, HTML and CSSExperience with server-side technologies such as Node.js, FastAPI, Django, FlasExperience with Cloud platforms and services (AWS, Azure, GCP, Kubernetes) via Terraform AutomationExperience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or KubernetesExperience developing data pipelinesExperience with ETLs - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any otherExperience using Pandas, Dask, Arrow, among othersUse Git as your main tool for versioning and collaboratingExperience with DevOps, CI/CD, Github ActionsExposure to LLMs, Prompt engineering, Langchain a plusStrong interpersonal and communication skillsCuriosity, proactivity and critical thinkingStrong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performanceKnowledge of data architecture, database schema design and database scalabilityAgile development methodologiesResponsibilities
Design, develop, and maintain cloud-based AI applications, leveraging full-stack technology to deliver high-quality, scalable, and secure solutionsCollaborate 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 needsUtilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availabilityDevelop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentationImplement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policiesContinuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experienceParticipate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable codeStay 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 platformCollaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering teamCollaborate 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 sectorsInfluence, educate and directly support the AI application engineering capabilities of our clientsTravel is required (30%)Benefits
Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits packageSome local governments in the United States require a good-faith, reasonable salary range be included in job postings for open rolesIn New York City, the good-faith, reasonable annualized full-time base salary range for this role is between $122,500 - $150,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill levelFor all other U.S. locations, the good-faith, reasonable annualized full-time base salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
#J-18808-Ljbffr
Bachelor's degree in computer science, engineering, or a related technical field2+ years of experience developing web applicationsYou think data first, and full stack second, but none of it scares youCompetency in backend programming languages – especially PythonStrong knowledge in designing API interfacesExperience with client-side technologies such as React, Angular, Vue.js, HTML and CSSExperience with server-side technologies such as Node.js, FastAPI, Django, FlasExperience with Cloud platforms and services (AWS, Azure, GCP, Kubernetes) via Terraform AutomationExperience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or KubernetesExperience developing data pipelinesExperience with ETLs - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any otherExperience using Pandas, Dask, Arrow, among othersUse Git as your main tool for versioning and collaboratingExperience with DevOps, CI/CD, Github ActionsExposure to LLMs, Prompt engineering, Langchain a plusStrong interpersonal and communication skillsCuriosity, proactivity and critical thinkingStrong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performanceKnowledge of data architecture, database schema design and database scalabilityAgile development methodologiesResponsibilities
Design, develop, and maintain cloud-based AI applications, leveraging full-stack technology to deliver high-quality, scalable, and secure solutionsCollaborate 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 needsUtilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availabilityDevelop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentationImplement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policiesContinuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experienceParticipate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable codeStay 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 platformCollaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering teamCollaborate 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 sectorsInfluence, educate and directly support the AI application engineering capabilities of our clientsTravel is required (30%)Benefits
Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits packageSome local governments in the United States require a good-faith, reasonable salary range be included in job postings for open rolesIn New York City, the good-faith, reasonable annualized full-time base salary range for this role is between $122,500 - $150,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill levelFor all other U.S. locations, the good-faith, reasonable annualized full-time base salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date
#J-18808-Ljbffr