
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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Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- Remote (US) (Remote)
- Posted
- Compensation
- $80,000 - $130,000 per year
About Dynamo AI
DynamoFL empowers enterprises to deploy Gen AI solutions in a safe, private, and compliant manner. Our tools offer a scalable and efficient solution for defense against adversarial AI threats, ensuring the integrity and security of ML models throughout their lifecycle. Our suite of proactive AI model defense solutions can be deployed to both identify and remediate security and robustness risks in Generative AI systems.
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