Description

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

Ensure system reliability, performance, and compliance

Lead a small team and collaborate across global teams


Requirement:

10 or more years in software or platform engineering

Strong programming skills in Rust or C++

Hands-on experience with Kubernetes (Helm, Kustomize, CRDs)

Familiarity with AWS, GCP, or Azure

Experience with CI/CD tools like Jenkins, GitHub Actions, or ArgoCD

Proven ability to design scalable APIs and microservices

Nice to have:

Experience building SDKs or client libraries

Knowledge of AI/ML platforms, MLOps, GPU orchestration

Familiarity with tools like Kafka, Spark, Dask, and NoSQL databases

Education

Any Gradute