About the Role

We are establishing a new internal capability to own engineer and modernise the firms global IBMMQestate. TheIBMMQPlatform Engineerwill be a key technical contributor responsible for the design build automation and operational excellence of the IBMMQplatform as we transition away from outsourced management and toward a modern selfservice cloudready IBMMQ messaging backbone.

You will work directly with architects application teams infrastructure and global engineering functions to uplift the current IBMMQestate reduce operational burden introduce bestpractice automation and drive the roadmap for nextgeneration messaging capabilities.

Key Responsibilities

Platform Engineering & Modernisation

• Re-design implement and support a completely a modern IBMMQ backbone running onKubernetes utlisingNativeHAand the latestCRRfeatures for resilience

• Lead the migration from legacy configurations toGitbased declarative queue/ channel/ topic configurationpipelines.
• Develop and maintainInfrastructureasCodepatterns forMQdeployments (Ansible/Terraform/Kubernetes Operators depending on architecture direction).
• Implement robustobservability including metrics logs dashboards and alerting (Prometheus Grafana Datadog etc.).
• Partner with the architecture function on broader messaging strategy alignment looking at features likeStreaming Queuesto enable bridging flow to Kafka/Redpanda

Operational Ownership

• Manage the lifecycle of global queue managers installation patching upgrades configuration security hardening.
• Handle incident diagnosis and resolution including hung queue managers performance degradation and integration issues
• Maintain consistent operational standards across all environments (Dev/PreProd/DR/Prod).

Automation & DevOps

• Build pipelines for automated provisioning validation and deployment ofMQresources.
• Createselfservice workflowsallowing application teams to safely request/configure queues without manual intervention.
• Contribute to platform SRE maturity through errorbudgeting reliability scorecards and toilreduction initiatives.

Security & Integration

• Implement and maintainLDAP / AD integration RBAC TLS mTLS and certificate automation.
• Ensure audit compliance and security standards are met across allMQassets.
• Work with network engineering on secure lowlatency connectivity and crossregion routing.

Collaboration & Leadership

• Partner with globally distributed teams (including AES Data Engineering Networks and Architecture).
• Contribute to technical designs standards and bestpractice playbooks.
• Mentor junior engineers and help shape the future internalMQengineering capability.
• Participate in strategic IBMMQdiscussions and roadmap initiatives.

Required Skills & Experience

Technical Expertise

• 410 years working withIBMMQin engineering DevOps SRE or platformsupport roles.
• Strong understanding ofMQqueue managers channels listeners clustering security exits and message flows.
• Handson experience withMQNativeHA HA clusters DR patterns replication and failover.
• Experience integratingMQwithPrometheusDatadog or equivalent monitoring stacks.
• Proficiency withLinuxadministration scripting (Python Shell) and system performance tuning.
• Demonstrated experience inautomationCI/CD andInfrastructureasCode.

Desirable Skills

• Background with containerisedMQ(MQOperator Kubernetes/OpenShift).
• Experience designingselfservice platformsor internal developer portals.
• Exposure to other messaging technologies (Kafka/Redpanda Redhat AMQ7)to support future messaging strategy alignment.
• Familiarity with enterprise security controls LDAP/SSO integration certificates and encryption.
• Experience in financial services or other highly regulated sectors.

Personal Attributes

• Strong problemsolving mindset with a drive to modernise legacy systems.
• Comfortable owning a critical platform endtoend.
• Excellent communication skills; able to influence and collaborate across engineering operations and architecture groups.
• Selfstarter with the ability to work independently and proactively.
• Passion for automation reliability engineering and designing for scale.

What Success Looks Like

• A stable fully automatedMQestate with reduced operational burdens.
• Successful rollout of NativeHA and crossregion architectures.
• Realisation of selfservice configuration flows for application teams.
• Clear observability security and governance maturity across the platform.