3 Unstructured Databases Jobs

As part of our team, you will have the opportunity to work in a dynamic and inclusive environment that fosters diversity and collaboration to build extraordinary teams. With a strong focus on diversity, inclusion, and social responsibility, we are proud to be recognized as one of the world's best places to work. Our commitment to creating a supportive and empowering workplace has led us to be consistently ranked as a top employer by various reputable organizations. You will be working alongside our generalist consultants and the Advanced Analytics Group (AAG) at Bain, where we leverage data science, customer insights, statistics, machine learning, and data engineering to help clients solve complex problems across various industries. Our team members, with diverse educational backgrounds in computer science, engineering, AI, data science, and other quantitative disciplines, collaborate to deliver innovative solutions. As a part of the team, your responsibilities will include designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to ensure high-quality, scalable, and secure solutions. You will collaborate with cross-functional teams to implement analytics features that meet business requirements and user needs. Additionally, you will deploy and manage analytics applications in cloud environments, develop APIs and microservices, and implement security measures to protect sensitive data. Your role will also involve monitoring application performance, participating in code reviews, staying updated on emerging technologies, and collaborating with DevOps teams to automate deployment processes. Furthermore, you will work with business consulting staff to develop analytics solutions for our clients and support the analytics application engineering capabilities. To be successful in this role, you are required to have a Master's degree in Computer Science or related field, along with expertise in Python, cloud platforms, and server-side technologies. Experience with client-side and server-side technologies, DevOps, CI/CD, and workflow orchestration is essential. You should possess strong interpersonal and communication skills, curiosity, critical thinking, and a solid foundation in computer science fundamentals. If you are passionate about leveraging analytics to drive business solutions, enjoy working in a collaborative environment, and are committed to continuous learning and development, we encourage you to apply. Travel may be required as part of the role.,

You will be joining a renowned consulting firm that has consistently been recognized as one of the best places to work globally. As part of the Application Engineering team within the AI, Insights & Solutions group, you will collaborate with a diverse group of experts in analytics, engineering, product management, and design to address clients" most challenging problems. Your role will involve designing, developing, and maintaining cloud-based AI applications using a full-stack technology stack to deliver secure and scalable solutions. Working in a multidisciplinary environment, you will collaborate with cross-functional teams to define and implement analytics features that meet business requirements and user needs. Utilizing Kubernetes and containerization technologies, you will deploy and manage analytics applications in cloud environments to ensure optimal performance and availability. Your responsibilities will also include developing APIs and microservices, implementing security measures to protect sensitive data, and monitoring application performance to resolve issues promptly. As a Senior or Staff level professional with a Masters degree in Computer Science or related field, you are expected to have a minimum of 5 years of experience in application engineering. Proficiency in client-side and server-side technologies, cloud platforms, and programming languages such as Python is essential. Additionally, experience with DevOps, CI/CD practices, and version control tools like Git is required. Your role will involve staying updated on emerging technologies, collaborating with DevOps teams to automate deployment processes, and contributing to the development of high-quality, maintainable code. You will play a pivotal role in collaborating with business consulting teams to assess opportunities and develop analytics solutions for clients across various sectors. Strong interpersonal skills, curiosity, critical thinking, and a proactive mindset are key attributes for success in this role. Travel may be required up to 30% of the time, and a deep understanding of data architecture, database design, and agile development methodologies will be advantageous in meeting the job requirements.,

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.,