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    Cloud DevOps Engineer @ Rapidfire AI

    Job Description

    This job posting has expired and no longer accepting applications.

     
    About the company:

    RapidFire AI is a cutting-edge deep tech startup specializing in scaling Machine Learning solutions. We are dedicated to empowering customers to effortlessly scale their AI workloads, ensuring they stay at the forefront of innovation in their industries.

    About the Role:

    We are seeking a highly motivated and skilled Cloud DevOps Engineer to join our growing team. In this role, you will be responsible for deploying and managing customer applications on Amazon Web Services (AWS), as well as integrating a custom application that directly manages operations on AWS instances. You will collaborate closely with developers and customer-facing personnel to ensure seamless execution and high availability.

    Responsibilities:

  • Design, develop, and deploy applications on AWS infrastructure, following best practices and security guidelines. Potentially extend these services to other public cloud service providers
  • Use containerization and orchestration tools like Docker and Kubernetes to quickly deploy and maintain applications on clustersUse Infrastructure-as-Code (IaC) tools like Terraform or Cloud
  • Formation for automated infrastructure provisioning and managementConfigure and manage AWS infrastructure services, including EC2, S3, EBS, EFS, EKS, and Lambda
  • Monitor and troubleshoot AWS resources to ensure optimal performance and availability
  • Collaborate with developers to define and implement cloud infrastructure strategies for applicationsImplement continuous integration and continuous delivery (CI/CD) pipelines for efficient application deployments
  • Deliver and maintain applications for customer accounts via a virtual private cloud (VPC) on AWSDesign, develop, deploy, and maintain spend aggregation and billing strategies for different applications
  • Integrate custom applications that manage and configure customer AWS instances based on specific needs
  • Automate routine tasks and implement monitoring solutions for proactive issue identification and resolution
  • Communicate effectively with customers to understand their requirements and ensure successful application deployments
  • Stay up-to-date with the latest advancements in cloud technologies and best practices
    • ,

    Qualifications:

  • 4+ years of experience as a Cloud Engineer, Cloud DevOps, or similar role using AWS infrastructure services
  • Proven experience with AWS deployments and architectures, including VPC, security, authentication, and billing practices
  • 4+ programming experience with Python and shell scripting like Bash4+ years deploying production applications with Docker and Kubernetes
  • Familiarity with IaC tools like Terraform or CloudFormationUnderstanding of CI/CD methodologies and tools
  • Basic experience with version control systems (e.g., Git) and collaborative development workflows
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of a team
  • Strong problem-solving and analytical skills
  • A passion for learning and staying updated with the latest cloud technologies
    • ,

    Nice to have:

  • AWS certifications (e.g. AWS Certified Solutions Architect - Associate)
  • Kubernetes certifications (eg. CKA - Certified Kubernetes Administrator)
  • Demonstrated experience deploying Deep Learning tools like PyTorch or TensorFlow on GPU clusters in production
  • Knowledge of tools like MLFlow or similar
  • Knowledge of equivalent infrastructure services on other public cloud providers

    • Please mention that you found this job on MoAIJobs, this helps us grow. Thank you!

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    About the job

    Posted on

    Apr 3, 2024

    Apply before

    May 3, 2024

    Job typeFull-time
    CategoryML Engineer

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