Description

Build and maintain scalable, secure AI platform components and manage Kubernetes-based deployments for AI/ML workloads.

This role is hybrid.

Responsibilities

• Build and maintain scalable, secure AI platform components using Rust.
• Design and manage Kubernetes-based deployments for AI/ML workloads.
• Develop APIs and microservices to support enterprise AI applications.
• Create CI/CD pipelines for training and deploying machine learning models.
• Lead a small team and collaborate across global teams to ensure system reliability and performance.

Required Skills

• 10+ years in software or platform engineering.
• Strong programming skills in Rust or C++.
• Hands-on experience with Kubernetes, including Helm, Kustomize, and CRDs.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, or ArgoCD.
• Proven ability to design scalable APIs and microservices.
• Familiarity with AWS, GCP, or Azure.
• Any Graduate degree.

Preferred Skills

• Experience building SDKs or client libraries.
• Knowledge of AI/ML platforms, MLOps, and GPU orchestration.
• Familiarity with Kafka, Spark, Dask, and NoSQL databases.

Key Skills

Education

Any Gradute