MQ Systems Administration Analyst

Role Summary

NTT DATA is seeking -- years of experienced Enterprise Messaging Integration Engineer is responsible for designing, implementing, administering, and supporting enterprise-grade messaging, integration, and workload automation platforms. This role ensures secure, reliable, high performance communication between distributed applications using IBM, Apache, and open source messaging technologies. The engineer also manages complex scheduling environments and contributes to automation, observability, and continuous improvement of mission critical integration systems.

Key Responsibilities

• Messaging Platform Administration (IBM MQ, Kafka, ActiveMQ, RabbitMQ): Install, configure, upgrade, and secure messaging platforms. Create and manage messaging artifacts: queue managers, queues, topics, channels, listeners, security settings, retention policies. Implement HA/DR, clustering, replication, and multi-node failover strategies. Performance tuning: throughput optimization, message persistence, batch sizes, connection pools, buffer/log tuning. Monitor health metrics using dashboards (Prometheus/Grafana/ELK/Splunk) and handle incidents proactively. Troubleshoot message flow failures, dead-letter queues, consumer lag, stuck messages, and network bottlenecks.
• Integration Engineering (IBM IIB / ACE): Design, develop, and deploy message flows using ESQL, Java, mapping nodes, REST/SOAP connectors, MQ/Kafka nodes. Build and manage BAR files, integration nodes, servers, policies, and environment overrides. Implement integration security: TLS/mTLS, OAuth/JWT, Basic Auth, certificate management. Troubleshoot and optimize integration flows for latency, throughput, parser efficiency, and memory footprint. Participate in CI/CD pipelines, automated deployments, unit testing, and environment migrations.
• IoT Telemetry Messaging (IBM MQXR / MQTT): Configure and support MQXR Telemetry listeners, MQTT topics, subscriptions, and QoS policies. Secure MQTT clients using TLS certificates, access control, and throttling policies. Monitor MQTT client connections, sessions, retained messages, and message routing to backend MQ systems.
• Workload Automation (IBM TWS / IWS): Install, upgrade, configure, and administer TWS/IWS masters, controllers, and agents. Build job streams, calendars, dependencies, event triggers, and SLA monitoring. Troubleshoot job failures, optimize schedules, and implement recovery workflows. Integrate workload scheduler with MQ, REST APIs, databases, file systems, and enterprise applications.
• Security, Governance Compliance: Implement end to end security for messaging and integration technologies: TLS/SSL, mTLS, JAAS, CHLAUTH policies, RBAC, OAuth/SASL. Perform auditing reporting for security compliance frameworks. Ensure platform hardening, certificate rotation, and vulnerability remediation.
• Automation, DevOps Observability: Create automation scripts (Shell, Python, PowerShell) for deployments, housekeeping, and monitoring. Build IaC templates (Ansible, Terraform) for consistent provisioning. Integrate platforms into CI/CD pipelines (Jenkins, Azure DevOps, GitLab CI). Maintain dashboards for real time system health and SLA adherence.
• Documentation Collaboration: Create runbooks, SOPs, operational guidelines, and architectural diagrams. Work closely with application teams, architects, network, cloud, and security teams. Participate in on call rotation and production support responsibilities.

Educational Qualifications

• Bachelors Degree in Computer Science / Information Technology or equivalent
• Relevant certifications (if any) preferred

Required Skills Experience

• IBM MQ (Distributed / MQ Clustering / Security)
• IBM IIB/ACE development administration
• IBM TWS/IWS job scheduling
• MQTT / MQXR messaging
• Apache Kafka (brokers, topics, partitions, ACLs, Schema Registry)
• Apache ActiveMQ (Classic/Artemis)
• RabbitMQ (AMQP, mirrored/quorum queues, federation/shovel)
• Strong Linux/Unix system administration skills.
• Strong debugging skills across messaging, network, TLS, and application layers.
• Good understanding of networking (TCP/IP, firewalls, load balancers, proxies).

Good-to-Have Skills

• Experience with Kubernetes (OpenShift/EKS/AKS) for containerized messaging platforms.
• Cloud messaging equivalents (Azure Event Hub, AWS MQ/Kinesis/SNS/SQS, GCP Pub/Sub).
• Experience with microservices and event-driven architectures.
• Exposure to CI/CD, GitOps, Infrastructure-as-Code.
• Monitoring tool exposure

Soft Skills Competencies

• Strong analytical and troubleshooting skills
• Good documentation and communication skills
• Customer-focused approach
• Ability to work in global teams
• Ability to work in 24/7 support rotations when required.
• Risk identification and proactive mitigation mindset