Role Summary :

Client is seeking a highly experienced Platform Engineer to design, build, and operate enterprise-grade Data & AI Platform capabilities supporting Analytics, AI, Generative AI, and Agentic AI workloads.

Key Responsibilities :

- Design, develop, and enhance enterprise Data & AI Platform capabilities.
- Build platform capabilities enabling Data Engineering as a Service, Data Quality as a Service, and Data Discovery.
- Develop Semantic Layer and Self-Service Analytics capabilities.
- Build cloud-native applications, APIs, platform services, and automation frameworks.
- Develop secure, scalable, and resilient AWS-based platform solutions.

Tech Stack :

- AWS Cloud Platform, ECS/EKS, Lambda, API Gateway, S3, IAM, VPC.
- React, TypeScript, JavaScript, Node.js, REST APIs, GraphQL.
- Terraform, CloudFormation, CI/CD, Docker, Kubernetes.
- Snowflake, Databricks, Kafka, Data Mesh, Lakehouse Architecture.

Requirements :

- Bachelor's Degree in Engineering (Mandatory).
- 5 - 8 years of relevant experience.
- Hands-on experience building enterprise-grade production platforms.
- Robust experience with AWS and Full Stack development (React, Node.js).

📌 Vriba - Full Stack Data Platform Engineer (India)
🏢 Vriba
📍 India