Senior Software Engineer, Core Infra
San Francisco, CA
Dynamo AI
Dynamo AI offers end-to-end AI Performance, Security, and Compliance solutions for delivering Enterprise-grade Generative AI.
At Dynamo AI, a Senior Software Engineer in the Core Infra team 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 best practices in the industry.
Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.
Responsibilities
- Design, develop, and maintain our Kubernetes-based infrastructure, enabling seamless deployment and autonomous management of ML models across various customer production environments.
- Take full ownership of the infrastructure, proactively identifying and resolving issues to maintain the highest levels of quality, performance, and reliability in customer deployments.
- Be innovative, apply industry best practices in both software development and infrastructure management to ensure robust, scalable systems.
- Develop and maintain automated testing frameworks and CI/CD pipelines to optimize code quality, deployment speed, and operational efficiency.
Qualifications
- 3+ years of experience developing and managing scalable services in Kubernetes.
- Proficiency in Kubernetes, cloud services, and modern DevOps practices.
- Proven track record of collaborating with customers to resolve deployment challenges in production environments.
- Strong programming skills in Python or other relevant languages.
- Excellent problem-solving abilities and a commitment to innovation and continuous improvement.
- Experience in deploying machine learning models in production is a plus.
Salary for this position may vary based on several factors, including the candidate's experience, expertise, and the geographic location of the role. Compensation is determined to ensure competitiveness and equity, reflecting the cost of living in different regions and the specific skills and qualifications of the candidate.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Engineering Jobs
Tags: CI/CD DevOps Kubernetes Machine Learning ML models Pipelines Python Testing
Perks/benefits: Career development Equity / stock options Transparency
Region:
North America
Country:
United States
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