AWS Developer – Data & AI Platform (Network Analytics)

AWS Engineer – Data & AI Platform (Network Analytics)

📍 Location: Bangalore

🕒 Experience: 4–6 Years

Are you passionate about building scalable cloud platforms that power AI-driven insights? Join our team as an AWS Engineer and help develop a next-generation Data & AI Platform focused on network diagnostics and analytics for Wi‑Fi and FTTH environments.

This role offers an exciting opportunity to work at the intersection of Cloud, Data Engineering, AI/ML, and Network Analytics, enabling intelligent automation and real-time decision-making.

🌟 Your Role

As an AWS Engineer, you will design, deploy, and manage cloud infrastructure that supports large-scale data pipelines, machine learning workloads, and AI-powered solutions. You will collaborate closely with Data Engineers, ML Engineers, and platform teams to build secure, reliable, and high-performance cloud environments.

🛠️ Key Responsibilities

AWS Architecture & Deployment

• Design and implement end-to-end AWS architectures for:
• Data ingestion
• Data processing
• Storage layers
• AI/ML workloads
• Deploy and manage AWS services including:
• S3
• Kinesis
• Lambda
• Glue
• Athena
• SageMaker
• Bedrock

Data Pipeline Infrastructure

• Build and support infrastructure for:
• Real-time streaming using Kinesis and Flink
• Batch processing using Glue and Lambda
• Ensure scalability, high availability, resilience, and fault tolerance

Platform Automation & DevOps

• Implement Infrastructure as Code (IaC) using:
• Terraform
• CloudFormation
• Develop and maintain CI/CD pipelines for:
• Data workflows
• ML model deployment
• Automate provisioning, configuration, and deployment processes

Security & Governance

• Configure and manage:
• IAM roles and policies
• VPCs and network security
• Encryption and access controls
• Ensure compliance with enterprise security and data governance standards

Monitoring & Performance Optimization

• Implement monitoring and observability using:
• CloudWatch
• CloudTrail
• Optimize platform performance, scalability, and cost efficiency
• Manage logging, alerting, troubleshooting, and incident response

Integration & API Enablement

• Support integration with:
• OSS/BSS platforms
• ServiceNow
• Alerting and monitoring tools
• Enable API-driven and event-based communication using:
• API Gateway
• Lambda
• Event-driven architectures

AI/ML Platform Support

• Provide infrastructure for:
• SageMaker model training and deployment
• Bedrock-powered AI Agents
• Partner with Data Science and ML teams to ensure platform readiness

✅ Required Skills

• Strong hands-on experience with AWS services:
• S3
• Lambda
• IAM
• VPC
• EC2
• Expertise in AWS data services:
• Kinesis
• Glue
• Athena
• Experience designing scalable cloud-native solutions
• Knowledge of distributed systems and cloud architecture best practices
• Strong troubleshooting and performance optimization skills

⭐ Preferred Skills

• Experience with streaming technologies:
• Apache Flink
• Kafka
• Hands-on experience with:
• Amazon SageMaker
• Amazon Bedrock
• Exposure to telecom/network analytics environments
• Experience with:
• Event-driven architectures
• Microservices
• Large-scale data platform