Senior AWS Engineer/Platform Engineer |

3 days ago

Hyderabad, India EverestDX Inc Full time

Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our Platform/Solution includes Orchestration, Intelligent operations with BOTs’, AI-powered analytics for Enterprise IT. Our vision is to enable Digital Transformation for enterprises to deliver seamless customer experience, business efficiency and actionable insights through an integrated set of futuristic digital technologies. Digital Transformation Services - Specialized in Design, Build, Develop, Integrate, and Manage cloud solutions and modernize Data centers, build a Cloud-native application and migrate existing applications into secure, multi-cloud environments to support digital transformation. Our Digital Platform Services enable organizations to reduce IT resource requirements and improve productivity, in addition to lowering costs and speeding digital transformation. Digital Platform - Cloud Intelligent Management (CiM) - An Autonomous Hybrid Cloud Management Platform that works across multi-cloud environments. helps enterprise Digital Transformation get most out of the cloud strategy while reducing Cost, Risk and Speed. Job Title: Platform Engineer Hyderabad (Work from Office) Experience: 8+ Years Employment Type: Full-Time We’re seeking a seasoned Platform Engineer to join our Enterprise Streaming & Messaging team. This role is ideal for a hands-on technologist with 5+ years of experience designing, building, and operating high-throughput, low-latency event-driven architectures, with deep expertise in Confuent Kafka and other messaging platforms (e.g., RabbitMQ, Pulsar, ActiveMQ, AWS Kinesis, etc.). Design, implementation, and govern of Kafka-based streaming platforms and other enterprise messaging solutions. Infrastructure-as-Code, CI/CD, monitoring). Build reusable platform components and tooling to streamline onboarding and operations. 8+ years of experience in distributed systems, event-driven architectures, or messaging systems. ~ Experience with Confluent Platform or Confluent Cloud. ~ Deep expertise with Kafka, including configuration, operations, performance tuning, and ecosystem (Kafka Connect, Schema Registry, MirrorMaker, etc.). ~ Experience with additional messaging technologies such as RabbitMQ, Pulsar, ActiveMQ, or cloud-native services like AWS MSK, Kinesis, or GCP Pub/Sub. ~ Kubernetes, Terraform, CI/CD pipelines, monitoring tools (Prometheus, Grafana, etc.). ~ Solid programming skills in Java, Python, or Go. ~ Strong understanding of networking, security, and reliability principles in distributed environments. Exposure to Tibco, IBM MQ Azure and AWS certification

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