Senior Software Engineer

Capitolis

United States

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Dynamo AI is seeking a Senior Software Engineer to design, build, and maintain robust, scalable infrastructure and applications for deploying advanced ML models in production. You will work on a Kubernetes-based platform and implement best practices for reliability and security.

You will own the end-to-end infrastructure, drive CI/CD pipelines, and collaborate across teams to deliver high-performance systems in diverse customer environments.

Qualifications

  • 3+ years of experience managing scalable services in Kubernetes.
  • Proficiency in Kubernetes, cloud services, and modern DevOps practices.
  • Strong coding skills in one or more programming languages.

Responsibilities

  • Design and develop systems on Kubernetes-based infrastructure for ML models.
  • Maintain infrastructure and applications focusing on scalability, security, and availability.
  • Apply best practices in software development and infrastructure management.
  • Own infrastructure and applications and address issues to meet high standards.
  • Implement automated testing and CI/CD pipelines for quality and deployment efficiency.

Skills

Kubernetes
Cloud services
DevOps practices
Programming languages
Problem-solving
Production ML deployment

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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