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Senior Software Engineer

Dynamo AI

Remote (US)Full-timeSeen 1mo agoStill listed 2 days ago

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At a glance

Compensation
No compensation found
Location
Remote (US)
Schedule
Full-time
Work Authorization
Not specified

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Job overview

At Dynamo AI, a Senior Software Engineer will design, develop, and maintain robust, secure, and scalable infrastructure and applications, deploying advanced machine learning models in production environments while ensuring optimal performance, reliability, and adherence to industry best practices.

Skills & qualifications

RequiredNice to have

Skills

KubernetesCloud ServicesDevOps PracticesProgramming LanguagesAutomated TestingCI/CD Pipelines

Qualifications

3+ Years Experience Developing and Managing Scalable Services in KubernetesExperience Deploying Machine Learning Models in Production

Full job description

At Dynamo AI, a Senior Software Engineer will design, develop, and maintain robust, secure, and scalable infrastructure and applications. You will be instrumental in deploying our advanced machine learning models in diverse production environments, ensuring optimal performance and reliability. You build full set of features in our Kubernetes based infrastructure and apply the bast practices in the industry. Responsibilities

  • Design and develop systems on our Kubernetes-based infrastructure, ensuring seamless deployment and management of our ML models.
  • Maintain and enhance the infrastructure and applications, focusing on scalability, security, and high availability.
  • Implement industry best practices in software development and infrastructure management to achieve excellence in operations and service delivery.
  • Take complete ownership of the infrastructure and applications, proactively identifying and addressing issues to ensure our products consistently meet the highest standards of quality and performance in customer environments.
  • Implement and maintain automated testing and CI/CD pipelines to ensure code quality and deployment efficiency.

Qualifications

  • 3+ years of experience developing and managing scalable services in Kubernetes.
  • Proficiency in Kubernetes, cloud services, and modern DevOps practices.
  • Strong coding skills in one or more programming languages.
  • Excellent problem-solving abilities and a commitment to innovation and continuous improvement.
  • Experience in deploying machine learning models in production is a plus.

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