technologies-expected :

responsibilities :

Design and build robust, developer-friendly APIs and SDKs
Integrate and deploy machine learning models into scalable cloud environments
Manage cloud-native infrastructure using Kubernetes, Docker, and IaC tools
Implement monitoring, autoscaling, alerting, and recovery mechanisms for platform reliability
Contribute to CI/CD, release management, and secure deployment workflows
Collaborate on API security, access control, and usage tracking systems
Optimize platform performance, observability, and operational efficiency

requirements-expected :

5+ years of commercial experience, including 3+ years building APIs
Proficient in Python and TypeScript/JavaScript
Skilled with Kubernetes, Docker, Helm, and service mesh tools
Cloud experience with AWS, GCP, or Azure (IAM, networking)
Familiar with backend frameworks like FastAPI or Express
Deep understanding of API protocols (REST, gRPC, WebSockets), authentication methods (OAuth2, API keys), and versioning practices
Experience with PostgreSQL, Redis, and vector databases (e.g., Pinecone, FAISS, Weaviate)
Familiar with CI/CD pipelines and tools like GitHub Actions, Argo CD, or Jenkins
Comfortable with observability stacks like Prometheus, Grafana, Datadog, or OpenTelemetry

benefits :

responsibilities :