SECTION I · THE BRIEF
Brief #24723Updated 22 AUG 2026REMOTEYc
Employbl Company Profile

Senior Software Engineer

Dynamo AI is hiring a Senior Software Engineer in Remote. Full brief — comp band, funding history, and the stack behind it — available to Employbl members.

Location
Remote
Company size
—
Posted
2mo ago
Via
Yc
Section II · Full ProfileFree with an account
  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Headcount & which departments are hiringLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

No card · 2 minutes · the funding and stack behind this role

Senior Software Engineer

Dynamo AI· Remote (US)View company profile


Job title
Senior Software Engineer
Job location
Remote (US)
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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