IBM WebSphere and IBM MQ

Job Description

About company: Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida. Job Title : IBM WebSphere and IBM MQ Exp: 6+ years – 12 years Location : Kochi Notice Period: 0-15 days/serving Salary : As per Market Mode Of Hire : Contract Job Summary Roles and Key Responsibilities: IBM WebSphere MQ Responsibilities Install, configure, and administer IBM WebSphere MQ (v9.x+) on Linux, Windows, and z/OS. Design and implement MQ clustering, high availability (HA), and disaster recovery (DR) strategies. Configure MQ objects (Queue Managers, Queues, Channels, Topics) for optimal performance. Implement MQ security (SSL/TLS, OAuth, LDAP, RBAC) and audit logging. Troubleshoot MQ performance bottlenecks, dead-letter queues, and connectivity issues. Automate MQ deployments using MQSC scripts, Ansible, or Python. Integrate IBM MQ with ACE/IIB, DataPower, Kafka, and other middleware. Monitor MQ environments using IBM MQ Explorer, Prometheus, Grafana, or Splunk. WebSphere Application Server (WAS) Responsibilities Install, configure, and maintain IBM WebSphere Application Server (WAS 9.x/8.5). Deploy and manage Java/J2EE applications on WAS. Configure WebSphere clustering, dynamic scaling, and workload management. Optimize JVM settings, connection pools, and thread pools for high performance. Implement WAS security (LDAP, SSL, OAuth, SAML) and role-based access control. Troubleshoot application server crashes, memory leaks, and performance issues. Automate WAS deployments using wsadmin, Jython, or DevOps tools (Jenkins, Docker, Kubernetes). Integrate WAS with IBM HTTP Server (IHS), DB2, Oracle, and other enterprise systems.