SrSubject Matter Exprt(Tools&Automation)

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.