B.S./M.S. degree in Computer Science, Engineering, or a related subject area
10+ years of experience in software and platform engineering
Proficiency in designing and building scalable APIs and microservices
Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions (CRDs)
Hands-on experience with cloud platforms such as AWS, GCP, or Azure
Expertise in containerization technologies (Docker, containerd)
Experience in CI/CD tools (Jenkins, GitHub Actions, ArgoCD)
Knowledge of infrastructure as code (IaC) tools like Terraform or CloudFormation
Solid understanding of networking concepts, security policies, and API gateways in cloud environments
Proficiency in production-grade programming languages such as Rust and C++
Decent understanding of distributed systems, cluster orchestration and management
Good knowledge of data science tools (e.g. PyTorch, Jax, Numpy) and programming languages such as Python
Experience with monitoring tools (Prometheus, Grafana)
Experience working in Agile development teams with excellent collaboration skills
Grit in the face of technical obstacles
Responsibilities
Design, develop, and maintain the next generation of scalable AI platform for the world's best investment management technology platform
Implement and manage Kubernetes clusters for deploying AI models
Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments
Build and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, with integrated enterprise concerns
Ensure the security and compliance of the platform
Troubleshoot and resolve issues related to platform performance and reliability
Refine business and functional requirements and translate them into scalable technical designs
Apply quality software engineering practices throughout the software development lifecycle
Work with team members in a multi-office, multi-country environment
Stay updated with the latest trends and technologies in AI and cloud engineering