Quick Overview
Job Description
Key Responsibilities
Design, build, and deliver large-scale cloud-native data platforms
Develop REST APIs and microservices with Kubernetes containerization
Build distributed data processing solutions using PySpark and Apache Spark
Design and implement Data Warehousing, Data Lakes, and Delta Lake architectures
Leverage AWS services including S3, Lambda, API Gateway, and EventBridge
Implement event-driven architectures using Kafka, SNS, and SQS
Work with databases including PostgreSQL, SQL Server, Aurora, DynamoDB, MongoDB, and Redis
Implement Infrastructure as Code using Terraform and Ansible
Support CI/CD and DevOps practices using Jenkins, GitHub/GitLab, Bitbucket, and GoCD
Implement robust testing strategies including unit, integration, and regression testing
Collaborate with global engineering and business stakeholders
Drive scalability, performance, and reliability across the technology stack
Apply Generative AI technologies including LLMs, RAG architectures, and agentic AI systems
Required Qualifications
6+ years of experience
B.E./B.Tech/M.Tech/MCA in Computer Science, IT, or related field
Bachelor's Degree
Skills
Java Development
REST APIs
Microservices
Kubernetes
PySpark
Apache Spark
AWS
Kafka
AWS Messaging Services
PostgreSQL
SQL Server
DynamoDB
MongoDB
Redis
Infrastructure as Code
CI/CD and DevOps
Generative AI
Distributed Systems Engineering
Data Warehousing
Data Lake Architecture
Event-Driven Architecture
Testing Strategy Implementation
Stakeholder Management
Schedule
Start date: 2026-09-30
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