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    DevOps Engineer

    Remote

    Job Description

    This job posting has expired and no longer accepting applications.

    About Esteam AI

    Esteam is on a mission to transform children's literacy, combining AI and speech recognition technologies to devise revolutionary methods of assessing and enhancing children's reading skills. In the face of the prolonged literacy crisis, where over 65% of 4th graders have been consistently reading below proficiency levels for two decades, our focus is to fuel change. We strive to create innovative, intuitive products that uplift both learners and educators, enabling personalized, engaging, and accessible education for all. We envision a future where literacy rates are on a sustained rise, and every child can confidently navigate the world of words, empowered by the transformative power of education. This is more than our mission - it's our commitment to every learner and educator we serve.

    Esteam is supported by the AI Fund based in Palo Alto, California. The AI Fund is a team of diligent innovators who build great companies that move humanity forward by accelerating the adoption of AI. Founded by Dr. Andrew Ng, AI Fund is a startup studio focused on resolving problems to move the world forward. We build new AI companies to bridge AI technology and critical applications. Just as electricity transformed numerous industries, AI and AI Fund are poised to do the same.

    Position Overview:

    We are seeking a skilled and experienced DevOps Engineer to join our small but mighty team. The ideal candidate will have a strong background in AWS, including DynamoDB, SageMaker, and SageMaker processes, as well as extensive experience with the AWS Cloud Development Kit (CDK) and AWS Amplify and mobile client integration. As a DevOps Engineer at Esteam, you will play a crucial role in operating, maintaining, developing and optimizing our cloud infrastructure processes and architecture to ensure the reliability, scalability, and performance of our platform. This is a full-time remote role.

    Responsibilities

  • Manage and maintain our large, complex and secure AWS infrastructure which includes significant real-time data and event processing, custom AI model pipelines and inference and client APIs that deliver services to our mobile and web client applications.
  • Utilize AWS services such as DynamoDB, SageMaker, and AWS Amplify to improve and optimize the architecture and platform.
  • Maintain and improve CI/CD pipelines using AWS CodePipeline and other relevant tools.
  • Implement new infrastructure as code using AWS CDK (Cloud Development Kit) to automate the provisioning and management of AWS resources.
  • Monitor system performance, troubleshoot issues, and ensure high availability and reliability of the platform.
  • Collaborate closely with the CTO to ensure seamless integration and deployment of new features and updates.
  • Stay up-to-date with the latest AWS features and capabilities, and provide recommendations for continuous improvement.
  • Implement security best practices to protect sensitive data and ensure compliance with relevant regulations.
    • ,

    Must Have

  • Strong experience with AWS, including a deep understanding of its current features and capabilities.
  • Proficiency in AWS services such as DynamoDB, SageMaker, and AWS Amplify.
  • Hands-on experience with AWS CDK (Cloud Development Kit) for infrastructure as code.
  • Strong knowledge of CI/CD pipelines and tools such as AWS CodePipeline.
  • Experience with monitoring and logging tools such as CloudWatch, ELK stack, or similar.
  • Solid understanding of containerization technologies (e.g., Docker, Kubernetes) and serverless architectures.
  • Familiarity with scripting languages (e.g. Typescript, Python, Bash) for CDK & automation tasks.
  • Excellent problem-solving skills and a proactive approach to identifying and addressing potential issues.
  • Strong communication skills and the ability to work effectively in a collaborative team environment.
    • ,

    Nice To Have

  • Experience working in a startup environment, bonus for edtech experience.
  • Knowledge of AI models and pipelines and solid experience with Sagemaker.
  • Experience with containerization (Docker, Kubernetes).
  • AWS certifications such as AWS Certified DevOps Engineer, AWS Certified Solutions Architect, or similar.
  • Familiarity with monitoring and logging tools (e.g., CloudWatch, Prometheus, Grafana).
  • Understanding of security best practices in cloud environments and the AWS Well Architected Framework.
    • ,

    Who You Are

  • Proactive and self-motivated, with the ability to work independently in a fast-paced startup environment.
  • Strong attention to detail and a commitment to quality.
  • Adaptability, a sense of humility, and a willingness to learn and grow with the company.
  • Excellent teamwork and interpersonal skills.
    • ,

    Why Join Esteam

  • Be part of a mission-driven company focused on improving children's literacy.
  • Work with cutting-edge technology in a collaborative and innovative environment.
  • Opportunities for professional growth and development.
  • Flexible remote working arrangements.

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

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    About the job

    Posted on

    Jul 2, 2024

    Apply before

    Aug 1, 2024

    Job typeFull-time
    CategoryML Engineer

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