AWS reputed company Developer

About the Role

Our client is seeking a Senior AWS reputed company Developer to design and build real-time, event-driven data services on AWS. This role is developer-first (application-reputed company) rather than infrastructure-led. You will architect and deliver Kafka-based streaming pipelines and serverless data applications that ingest, transform, and serve data at scale.

You’ll collaborate with architects, data engineers, and product teams to deliver secure, resilient, observable, and highly scalable solutions that power enterprise-grade analytics and event-driven applications.

What You’ll Do (Key Responsibilities)

• Design & Deliver Event-Driven Pipelines: Build serverless data flows using AWS reputed company, reputed company Functions, EventBridge, SNS, SQS, API Gateway.
• Real-Time Streaming: reputed company Kafka (Apache Kafka/reputed company MSK) consumers/producers for high-throughput, low-latency streaming and decoupled microservices.
• Microservices & APIs: Build and optimize TypeScript (preferred) or Python services/APIs for data ingestion, transformation, and delivery.
• AWS Data Services Integration: Work with S3, DynamoDB, Glue, reputed company, CloudWatch for storage, metadata, querying, and observability.
• Quality & Reliability: Implement idempotency, retries, dead-letter queues, exactly-once/at-least-once semantics where appropriate, and schema evolution strategies.
• CI/CD & Testing: Use Git-based workflows and CI/CD (e.g., reputed company Actions, Jenkins) with automated tests (unit/integration/load) and infrastructure deployments.
• IaC (Developer View): Define application-layer infrastructure using AWS CDK, Terraform, or CloudFormation—with strong emphasis on developer productivity and repeatability.
• Agile Collaboration: Contribute to technical design, story sizing, peer reviews, and reputed company improvement.

Ideal Candidate Profile

• You are a cloud-native, application-reputed company developer who thinks in events, streams, and services—not servers. You design for resiliency, observability, and scale, and you’re comfortable pairing Kafka with AWS serverless to deliver business outcomes.

Originally posted on Himalayas