SrSubject Matter Exprt(Tools&Automation)

Hyderabad, Telangana

Job Summary

Job SummaryWe are seeking a highly skilled Middleware \& Agentic AI Platform Engineer to design, build, automate, and operate modern enterprise platforms across Middleware, Cloud, Kubernetes, DevOps, and AI ecosystems. The role combines traditional middleware expertise with emerging Agentic AI, automation, SRE, and cloud\-native operations to drive intelligent, reliable, and self\-healing enterprise platforms.Key Responsibilities

Middleware Engineering

Manage and support enterprise middleware platforms including API Management, Messaging, Integration, and Application Servers.

Design and implement highly available, scalable, and secure middleware architectures.

Perform performance tuning, troubleshooting, root cause analysis, and platform optimization.

Agentic AI \& Automation

Design and implement AI\-driven operational workflows and Agentic AI solutions.

Build intelligent automation for incident management, observability, and self\-healing operations.

Develop AI\-powered runbooks, copilots, and operational assistants.

Cloud \& Kubernetes

Deploy and operate cloud\-native applications on Azure, AWS, or GCP.

Manage Kubernetes/OpenShift platforms for containerized workloads.

Implement scalability, resiliency, and security best practices for cloud environments.

DevOps \& SRE

Build and maintain CI/CD pipelines using modern DevOps practices.

Implement Infrastructure as Code (IaC) using Terraform, Ansible, or similar tools.

Drive observability, reliability engineering, proactive monitoring, and automation initiatives.

Platform Transformation

Lead modernization of legacy middleware platforms to cloud\-native architectures.

Support migration, transformation, and operational excellence programs.

Contribute to innovation, reusable accelerators, and automation frameworks.

Required Skills

Middleware Technologies

IBM MQ

Apache Kafka

RabbitMQ / ActiveMQ

IBM ACE / IIB

MuleSoft

WebLogic, WebSphere, Tomcat, JBoss

API Gateways (Apigee, Kong, IBM APIC)

Agentic AI \& GenAI

Agentic AI Concepts

Multi\-Agent Frameworks (CrewAI, AutoGen, LangGraph)

Prompt Engineering

RAG Architecture

MCP Integration

LLM Platforms (OpenAI, Azure OpenAI, Claude, Groq)

Cloud \& Kubernetes

Azure / AWS / GCP

Kubernetes / OpenShift

Docker Containers

Cloud Networking \& Security

DevOps \& Automation

GitHub / GitLab

Jenkins / Azure DevOps

Terraform

Ansible

Python Scripting

CI/CD Automation

Observability \& SRE

Dynatrace

Grafana

Prometheus

ELK Stack

Splunk

Site Reliability Engineering Practices

Preferred Qualifications

5–12 years of experience in Middleware, Cloud, or Platform Engineering.

Certifications in Kubernetes, Cloud, Middleware, or DevOps.

Experience delivering enterprise transformation programs.

Exposure to AI/Agentic AI implementations in IT Operations.

Key Responsibilities

1\. To ensure on\-time resolution \& quality compliance of escalated tickets/incident as per the agreed SLA

2\. To perform value addition activities (such as mentoring administrators/team members, preparing SOPs, maintaining effective documentation simultaneously and Knowledge sharing.) In addition act as a liaison to the business segment, facilitating effective communication and presentation to key business stakeholders as \& when required.

3\. To validate Change Order Implementation Plan \& Human Error Compliance and participate in Capacity planning, identification of EN business opportunities.

4\. To ensure positive customer feedback \& satisfaction through active participation in customer meetings to understand any issues faced

5\. To validate analyses (eg. Root Cause Analysis ,Trend Analysis) and reports to facilitate performance in tasks to be presented to key business stakeholders

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