5 Largescale Databases Jobs

As a Lead Cloud Engineer at our organization, you will be responsible for designing and building cloud-based distributed systems to address complex business challenges for some of the world's largest companies. Leveraging your expertise in software engineering, cloud engineering, and DevOps, you will craft technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Working as part of a diverse and globally distributed engineering team, you will actively engage in the complete engineering life cycle, encompassing the design, development, optimization, and deployment of solutions and infrastructure at a scale that matches the world's leading companies. Your core responsibilities will include: - Architecting cloud solutions and distributed systems for full-stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) for cloud-based solutions, covering areas such as CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and implementing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud, and Azure - Collaborating with diverse teams, including product managers, data scientists, and other engineers, to deliver analytics and AI features that align with business requirements and user needs - Utilizing Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in the cloud, ensuring optimal performance and availability - Developing and maintaining APIs and microservices to expose analytics functionality to internal and external consumers while adhering to best practices for API design and documentation - Implementing robust security measures to safeguard sensitive data and ensure compliance with data privacy regulations and organizational policies - Monitoring and troubleshooting application performance continuously to identify and resolve issues affecting system reliability, latency, and user experience - Participating in code reviews and contributing to the establishment and enforcement of coding standards and best practices to uphold the quality and maintainability of the codebase - Staying abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering to identify opportunities for enhancing the analytics platform's capabilities - Collaborating closely with business consulting staff and leaders to assess opportunities and develop analytics solutions for clients across various sectors To excel in this role, you should possess the following qualifications: - A Master's degree in Computer Science, Engineering, or a related technical field - At least 6 years of experience, with a minimum of 3 years at the Staff level or equivalent - Proven experience as a cloud engineer and software engineer in product engineering or professional services organizations - Experience in designing and delivering cloud-based distributed solutions, with certifications in GCP, AWS, or Azure considered advantageous - Proficiency in building infrastructure as code using tools such as Terraform (preferred), Cloud Formation, Pulumi, AWS CDK, or CDKTF - Familiarity with software development lifecycle nuances - Experience with configuration management tools like Ansible, Salt, Puppet, or Chef - Proficiency in monitoring and analytics platforms such as Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, or Nagios/Icinga - Expertise in CI/CD deployment pipelines (e.g., Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI) - Hands-on experience in building backend APIs, services, and integrations using Python - Practical experience with Kubernetes through services like GKE, EKS, or AKS considered a plus - Ability to collaborate effectively with internal and client teams and stakeholders - Proficiency in using Git for versioning and collaboration - Exposure to LLMs, Prompt engineering, Langchain considered advantageous - Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or others - Proficiency in implementing large-scale structured or unstructured databases, orchestration, and container technologies like Docker or Kubernetes - Strong interpersonal and communication skills to articulate and discuss complex engineering concepts with colleagues and clients from diverse disciplines - Display curiosity, proactivity, and critical thinking in problem-solving - Solid foundation in computer science principles related to data structures, algorithms, automated testing, object-oriented programming, performance complexity, and the impact of computer architecture on software performance - Knowledge of designing API interfaces and data architecture, database schema design, and database scalability - Familiarity with Agile development methodologies If you are seeking a dynamic and challenging opportunity to contribute to cutting-edge projects and collaborate with a diverse team of experts, we invite you to join us at Bain & Company. As a global consultancy dedicated to partnering with change makers worldwide, we are committed to achieving extraordinary results, outperforming the competition, and reshaping industries. With a focus on delivering tailored, integrated solutions and leveraging a network of digital innovators, we strive to drive superior outcomes that endure. Our ongoing investment in pro bono services underscores our dedication to supporting organizations addressing pressing issues in education, racial equity, social justice, economic development, and the environment. Recognized with a platinum rating from EcoVadis, we are positioned in the top 1% of all companies for our environmental, social, and ethical performance. Since our inception in 1973, we measure our success by the success of our clients and maintain the highest level of client advocacy in the industry.,

As a Lead Cloud Engineer at our organization, you will have the opportunity to design and build cloud-based distributed systems that address complex business challenges for some of the world's largest companies. Leveraging your expertise in software engineering, cloud engineering, and DevOps, you will play a crucial role in developing technology stacks and platform components that empower cross-functional AI Engineering teams to deliver robust, observable, and scalable solutions. Working within a diverse and globally distributed engineering team, you will engage in the complete engineering lifecycle, including designing, developing, optimizing, and deploying solutions and infrastructure at a scale that matches the world's leading companies. Your core responsibilities will involve: - Designing cloud solutions and distributed systems architecture for full-stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) for cloud-based solutions, encompassing CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and implementing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud, and Azure - Collaborating closely with cross-functional teams to define and implement analytics and AI features that align with business requirements and user needs - Utilizing Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability - Developing and maintaining APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation - Implementing robust security measures to safeguard sensitive data and ensure compliance with data privacy regulations and organizational policies - Continuously monitoring and troubleshooting application performance to identify and resolve issues affecting system reliability, latency, and user experience - Participating in code reviews and contributing to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code - Keeping abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering to identify opportunities for enhancing the analytics platform - Collaborating with business consulting staff and leaders to assess opportunities and develop analytics solutions for clients across various sectors To excel in this role, you should possess: - A Master's degree in Computer Science, Engineering, or a related technical field - 6+ years of experience, with a minimum of 3+ years at the Staff level or equivalent - Proven experience as a cloud engineer and software engineer in product engineering or professional services organizations - Experience designing and delivering cloud-based distributed solutions, with GCP, AWS, or Azure certifications considered advantageous - Proficiency in building infrastructure as code using tools such as Terraform, Cloud Formation, Pulumi, AWS CDK, or CDKTF - Deep familiarity with the software development lifecycle and configuration management tools - Experience with monitoring and analytics platforms, CI/CD deployment pipelines, backend APIs, Kubernetes, Git, and workflow orchestration - Strong interpersonal and communication skills, along with strong computer science fundamentals Join our team at Bain & Company, a global consultancy dedicated to partnering with change makers worldwide to shape the future and achieve extraordinary results.,

You will be joining a renowned consulting firm known for being consistently ranked as one of the world's best places to work. The company has maintained a top position on Glassdoor's Best Places to Work list since 2009, emphasizing the importance of extraordinary teams in their business strategy. By intentionally bringing together diverse backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment, they ensure that every individual can thrive both professionally and personally. As part of the Application Engineering experts team within the AI, Insights & Solutions division, you will collaborate with a multidisciplinary group of professionals including analytics, engineering, product management, and design experts. Your role will involve leveraging deep technical expertise along with business acumen to assist clients in addressing their most transformative challenges. Working in integrated teams, you will develop data-driven strategies and innovative solutions to drive competitive advantage for clients by harnessing the power of data and artificial intelligence. Your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to define and implement analytics features, utilize Kubernetes and containerization technologies for deployment, develop APIs and microservices, ensure robust security measures, monitor application performance, contribute to coding standards, stay updated on emerging technologies, automate deployment processes, and collaborate closely with clients to assess opportunities and develop analytics solutions. To qualify for this position, you are required to have a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6 years of experience at a Senior or Staff level. Proficiency in client-side and server-side technologies, cloud platforms, Python, Git, DevOps, CI/CD, and various other technical skills is necessary. Additionally, strong interpersonal and communication skills, curiosity, proactivity, critical thinking, and a solid foundation in computer science fundamentals are essential for this role. This role also requires a willingness to travel up to 30% of the time. If you are looking for an opportunity to work in a collaborative and supportive environment, continuously learn and grow, and contribute to developing cutting-edge analytics solutions for clients across different sectors, this position may be the perfect fit for you.,

As a Lead Cloud Engineer at our organization, you will have the opportunity to design and build cloud-based distributed systems that address complex business challenges for some of the world's largest companies. Drawing upon your expertise in software engineering, cloud engineering, and DevOps, you will play a pivotal role in crafting technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Working within a diverse and globally distributed engineering team, you will engage in the full engineering life cycle, spanning from designing and developing solutions to optimizing and deploying infrastructure at the scale of leading global enterprises. Your core responsibilities will include designing cloud solutions and distributed systems architecture for full-stack AI software and data solutions. You will be involved in implementing, testing, and managing Infrastructure as Code (IAC) for cloud-based solutions encompassing CI/CD, data integrations, APIs, web and mobile apps, and AI solutions. Collaborating with various teams such as product managers, data scientists, and fellow engineers, you will define and implement analytics and AI features that align with business requirements and user needs. Furthermore, your role will involve leveraging Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. You will be responsible for developing and maintaining APIs and microservices to expose analytics functionality to internal and external consumers, in adherence to best practices for API design and documentation. Implementing robust security measures to safeguard sensitive data and ensure compliance with data privacy regulations will also be a key aspect of your responsibilities. In addition, you will continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. Engaging in code reviews and contributing to the establishment and enforcement of coding standards and best practices will be essential to ensure the delivery of high-quality, maintainable code. Keeping abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering will enable you to identify opportunities for enhancing the capabilities of the analytics platform. Collaborating closely with business consulting staff and leaders within multidisciplinary teams, you will assess opportunities and develop analytics solutions for our clients across various sectors. Your role will also involve influencing, educating, and providing direct support for the analytics application engineering capabilities of our clients. To excel in this role, you should possess a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6+ years of experience, including a minimum of 3+ years at the Staff level or equivalent. Proven experience as a cloud engineer and software engineer in product engineering or professional services organizations is essential. Additionally, experience in designing and delivering cloud-based distributed solutions and possessing certifications in GCP, AWS, or Azure would be advantageous. Deep familiarity with the software development lifecycle, configuration management tools, monitoring and analytics platforms, CI/CD deployment pipelines, backend APIs, Kubernetes, and containerization technologies is highly desirable. Your ability to work closely with internal and client teams, along with strong interpersonal and communication skills, will be critical for collaboration and effective technical discussions. Curiosity, proactivity, critical thinking, and a strong foundation in computer science fundamentals are qualities that we value. If you have a passion for innovation, a commitment to excellence, and a drive to make a meaningful impact in the field of cloud engineering, we invite you to join our dynamic team at Bain & Company.,

As a Lead Platform Engineer at our esteemed organization, you will play a pivotal role in designing and constructing cloud-based distributed systems that tackle intricate business dilemmas for some of the largest companies globally. Leveraging your profound expertise in software engineering, cloud engineering, and DevOps, you will be instrumental in crafting technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Being part of a diverse and globally dispersed engineering team, you will engage in the complete engineering lifecycle, encompassing the design, development, optimization, and deployment of solutions and infrastructure on a scale that caters to the needs of the world's leading corporations. Your core responsibilities will revolve around: - Crafting cloud solution and distributed systems architecture for full stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) of cloud-based solutions, inclusive of CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and executing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud, and Azure - Collaborating with diverse teams, including product managers, data scientists, and fellow engineers, to define and implement analytics and AI features that align with business requirements and user needs - Harnessing Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability - Developing and maintaining APIs and microservices to expose analytics functionality to both internal and external consumers, adhering to best practices for API design and documentation - Implementing robust security protocols to safeguard sensitive data and uphold compliance with data privacy regulations and organizational policies - Continuously monitoring and troubleshooting application performance, identifying and resolving issues that impact system reliability, latency, and user experience - Participating in code reviews and contributing to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code - Staying abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identifying opportunities to enhance the capabilities of the analytics platform - Collaborating closely with and influencing business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across various sectors - Influencing, educating, and directly supporting the analytics application engineering capabilities of our clients To be successful in this role, you should possess: - A Master's degree in Computer Science, Engineering, or a related technical field - 6+ years of experience, with at least 3+ years at the Staff level or equivalent - Proven expertise as a cloud engineer and software engineer in either product engineering or professional services organizations - Experience in designing and delivering cloud-based distributed solutions, with GCP, AWS, or Azure certifications being advantageous - Deep familiarity with software development lifecycle nuances - Proficiency in one or more configuration management tools such as Ansible, Salt, Puppet, or Chef - Proficiency in one or more monitoring and analytics platforms like Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/Icinga - Experience with CI/CD deployment pipelines (e.g., Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI) - Experience in building backend APIs, services, and/or integrations using Python - Practical experience with Kubernetes through services like GKE, EKS, or AKS is beneficial - Ability to collaborate effectively with internal and client teams and stakeholders - Proficiency in Git for versioning and collaboration - Exposure to LLMs, Prompt engineering, Langchain is a plus - Experience with workflow orchestration tools like dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other - Experience in the implementation of large-scale structured or unstructured databases, orchestration, and container technologies such as Docker or Kubernetes - Strong interpersonal and communication skills, enabling you to explain and discuss complex engineering technicalities with colleagues and clients from different disciplines at their level of cognition - Curiosity, proactivity, and critical thinking - Sound knowledge of computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and the implications of computer architecture on software performance - Strong understanding of designing API interfaces - Knowledge of data architecture, database schema design, and database scalability - Familiarity with Agile development methodologies At our organization, Bain & Company, a global consultancy dedicated to assisting the world's most ambitious change-makers in shaping the future, we operate across 65 cities in 40 countries. Collaborating closely with our clients, we work as one team with a shared objective of achieving exceptional results, outperforming competitors, and redefining industries. Our commitment to investing more than $1 billion in pro bono services over the next decade reflects our dedication to supporting organizations addressing pressing challenges in education, racial equity, social justice, economic development, and the environment. With a platinum rating from EcoVadis, a prominent platform for environmental, social, and ethical performance ratings for global supply chains, we stand in the top 1% of all companies. Since our inception in 1973, we have gauged our success by the success of our clients and proudly maintain the highest level of client advocacy in the industry.,