What You Will Do
Kubernetes Expertise: Leverage your experience with Kubernetes to architect and optimize deployment and orchestration of AI services in containerized environments.
Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization.
Performance Optimization: Identify and resolve performance bottlenecks in the AI platform, optimizing response times and resource utilization.
Monitoring and Logging: Implement robust monitoring and logging solutions to track the performance and health of deployed AI services, enabling issue resolution.
Basic Qualifications
5+ years’ experience of software development experience with a strong background in building SaaS services at scale with API first design and demonstrated technical leadership skills.
5+ year’s experience writing code in Python, Java, Go and/or C/C++.
BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a software development engineer or equivalent industry experience.
Preferred Qualifications
Familiarity with AI and machine learning concepts and the ability to collaborate effectively with data scientists and AI engineers.
Experience with Docker platform delivery tool or similar.
Experience developing distributed systems and implementing them using Kafka, Redis or similar.
Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure.
Experience using Kubernetes architecture.
Knowledge of security and compliance standards.