Website Capgemini Engineering
AWS Developer – Data & AI Platform (Network Analytics) – Bengaluru Build a next‑generation cloud platform that powers AI‑driven network diagnostics for Wi‑Fi and FTTH. You’ll work at the nexus of AWS, data engineering, and machine‑learning to enable real‑time insights and automated decision‑making. What You’ll Do Design end‑to‑end AWS architectures for data ingestion, processing, storage, and AI/ML workloads. Deploy and manage services such as S3, Kinesis, Lambda, Glue, Athena, SageMaker, and Bedrock. Build real‑time streaming pipelines with Kinesis (and Flink) and batch workflows with Glue/Lambda. Automate provisioning with Terraform or CloudFormation and maintain CI/CD pipelines. Implement IAM roles, VPC networking, encryption, and governance controls. Monitor performance using CloudWatch/CloudTrail, optimise cost and troubleshoot incidents. Enable API‑driven integrations via API Gateway, Lambda, and event‑driven architectures. What You Need 4‑6 years of hands‑on experience with core AWS services (S3, Lambda, IAM, VPC, EC2). Strong expertise in AWS data services such as Kinesis, Glue, and Athena. Proven ability to design scalable, fault‑tolerant cloud‑native solutions. Proficiency in IaC tools – Terraform or CloudFormation. Experience building CI/CD pipelines for data and ML workloads. Solid troubleshooting and performance‑optimization skills in distributed environments. Good to Have Hands‑on with streaming frameworks like Apache Flink or Kafka. Experience using Amazon SageMaker and Amazon Bedrock for model training and AI agents. Background in telecom/network analytics or event‑driven microservices architectures. The Opportunity Join a fast‑growing AI platform team in Bangalore, collaborating with data scientists, ML engineers, and network specialists to deliver real‑time
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