Senior Software Engineer, Core Infrastructure Specialist
4 weeks ago
At Dynamo AI, we're seeking a highly skilled Senior Software Engineer to join our Core Infrastructure team. As a key member of our team, you'll design, develop, and maintain robust, scalable, and secure infrastructure and applications.
You'll be instrumental in deploying our advanced machine learning models in diverse production environments, ensuring optimal performance and reliability.
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.
Dynamo AI is committed to maintaining compliance with all applicable local and state laws regarding job listings and salary transparency.
This includes adhering to specific regulations that mandate the disclosure of salary ranges in job postings or upon request during the hiring process.
We strive to ensure our practices promote fairness, equity, and transparency for all candidates.
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.
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