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    Senior Manager - noida, India - Genpact

    Genpact
    Genpact noida, India

    3 weeks ago

    Genpact background
    Description

    With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world's biggest brands—and we have fun doing it We dream in digital, dare, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We're harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.
    Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.
    Welcome to the relentless pursuit of better.
    Inviting applications for the role of Senior Manager-LDT GenAI Infrastructure

    We are seeking an experienced and skilled Cloud Infrastructure Engineer to join our team. In this role, you will be responsible for provisioning and managing cloud infrastructure for the deployment of Generative AI models and other Cloud Native Applications. You will leverage your expertise in both AWS and Azure platforms, ensuring seamless and secure infrastructure setup, data pipeline configuration, and MLOps implementation.
    Responsibilities

    • Design and provision cloud infrastructure for hosting and serving Generative AI models, including open-source and API-based solutions, on both AWS and Azure platforms.

    • Configure and optimize data pipelines for efficient data ingestion, processing, and serving to support Generative AI model training and inference.

    • Collaborate with DevOps to implement MLOps practices, including automated model deployment, monitoring, and lifecycle management, ensuring smooth and reliable model updates and rollouts.

    • Develop and maintain infrastructure-as-code (IaC) templates and scripts for consistent and repeatable infrastructure provisioning across multiple environments.

    • Collaborate with data scientists, machine learning engineers, and application developers to understand infrastructure requirements and translate them into robust and scalable solutions.

    • Ensure enterprise-grade deployments by adhering to best practices for security, scalability, high availability, and performance optimization.

    • Create detailed infrastructure diagrams and documentation to facilitate knowledge sharing and streamline onboarding processes.

    • Stay up to date with the latest cloud technologies, security best practices, and industry trends, and drive their adoption within the organization.

    • Help DevOps on Setting up and maintaining DevOps CI/CD pipelines for automated build, testing, and deployment of Generative AI applications and supporting infrastructure.

    • Design and implement multi-node software setups with failover and high availability configurations to ensure resilient and reliable operations.

    Qualifications we seek in you
    Minimum Qualifications/skills


    • Proven expertise in setting up infrastructure for Generative AI models, including open-source and API-based solutions.

    • Proficiency in infrastructure-as-code (IaC) tools such as Terraform, CloudFormation, or Azure Resource Manager.

    • Experience with data pipeline technologies (e.g., Apache Kafka, Apache NiFi, AWS Kinesis, Azure Data Factory) and data storage solutions (e.g., S3, Azure Blob Storage).

    • Knowledge of MLOps practices and tools (e.g., Kubeflow, MLFlow, SageMaker, Azure Machine Learning).

    • Hands on with containerization technologies (e.g., Docker, Kubernetes) and container orchestration platforms.

    • Understanding of security best practices, compliance requirements, and industry standards (e.g., ISO, NIST, PCI-DSS).

    • Experience with DevOps CI/CD tools and practices for automated software delivery pipelines.

    • Expertise in designing and implementing multi-node software setups with failover and high availability configurations.

    • Strong problem-solving and analytical skills, with the ability to troubleshoot and resolve complex infrastructure issues.

    • Excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams.

    • Relevant certifications in AWS (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer) and Azure (e.g., Azure Solutions Architect, Azure DevOps Engineer) are highly desirable.

    Preferred Qualifications/ Skills


    • Relevant certifications (e.g., AWS Certified DevOps Engineer Professional, Azure DevOps Engineer Expert, are highly desirable.

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