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W2 - Site Reliability Engineer (SRE) Lead – IBM MQ / Kafka | Hybrid | Plano, TX / Charlotte, NC

Hybrid in Plano, TX, US • Posted 3 hours ago • Updated 3 hours ago

Contract W2

12 Months

75% Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

IBM WebSphere MQ
Microsoft Windows
Middleware
Migration
Operational Excellence
Incident Management
Leadership
Linux
Management
Failover
Financial Services
Grafana
High Availability
Kubernetes
Messaging
Production Engineering
Python
Root Cause Analysis
Real-time
Recovery
Reliability Engineering
Risk Management
Artificial Intelligence
Apache Kafka
Budget
Splunk
Streaming
Clustering
Dynatrace
Encryption
Scalability
Scripting
Shell
TLS
Unix

IBM WebSphere MQ
Microsoft Windows
Middleware
Migration
Operational Excellence
Incident Management
Leadership
Linux
Management
Failover
Financial Services
Grafana
High Availability
Kubernetes
Messaging
Production Engineering
Python
Root Cause Analysis
Real-time
Recovery
Reliability Engineering
Risk Management
Artificial Intelligence
Apache Kafka
Budget
Splunk
Streaming
Clustering
Dynatrace
Encryption
Scalability
Scripting
Shell
TLS
Unix

Summary

Job Title: Site Reliability Engineer (SRE)
Job Location: Plano, TX / Charlotte, NC (3 Days onsite, 2 Days remote) Hybrid role.
Job Type: 12+ Months contract

Job Descriptions:

We are seeking an experienced Site Reliability Engineer (SRE) Lead - Messaging Services tdrive platform reliability, observability, and operational excellence across IBM MQ and Kafka environments.

This role combines:

Production engineering and reliability leadership for messaging platforms
Platform security, resilience engineering, and vulnerability remediation
Ownership of large-scale, distributed messaging runtimes

Key responsibilities include:

Leading reliability engineering for high-scale messaging platforms supporting tens of thousands of runtimes and high-volume message throughput
Driving EOL remediation, patching, and stabilization across MQ queue managers and Kafka clusters

Implementing SRE best practices:

SLIs / SLOs focused on message delivery, latency, and availability
Incident management, escalation, and postmortem culture
Enhancing observability and monitoring for messaging flows, queue depths, lag, and throughput
Designing proactive fault detection and auto-remediation strategies (e.g., DLQ handling, backlog mitigation, failover recovery)
Building resilient messaging platforms capable of supporting real-time, event-driven workloads
Supporting global production messaging environments with on-call rotation and escalation ownership
Partnering with engineering, application, and security teams tensure reliability, scalability, and secure message transport
Strong experience in Site Reliability Engineering / Production Engineering

Hands-on expertise with:

IBM MQ (queue managers, clustering, channels, DLQ management)
Kafka / Confluent platform (topics, brokers, partitions, consumer groups)
Large-scale distributed messaging systems and runtime management

Deep understanding of:

System reliability, scalability, and high availability design
Messaging reliability patterns (guaranteed delivery, retry handling, replay, ordering)
Incident management, root cause analysis, and problem management

Experience with:

Observability tools (Dynatrace, Splunk, Prometheus, Grafana) for messaging platforms
Event and anomaly detection in high-volume systems
Strong scripting/automation skills:
Shell, Python, PowerShell
Experience managing Linux/Unix and Windows production environments

Knowledge of:

Event-driven architecture and messaging-based integration patterns

Understanding of:

Messaging platform security (TLS, certificates, channel auth, encryption)
Vulnerability remediation and risk mitigation in production systems
Excellent troubleshooting skills in high-pressure, real-time environments (e.g., message backlog, latency spikes, connection failures
Experience implementing SRE frameworks (SLIs, SLOs, error budgets) specifically for messaging workloads

Familiarity with:

Kubernetes / containerized messaging platforms
Experience with:
Kafka ecosystem components (Schema Registry, Connect, Streams)
IBM MQ advanced features (Native HA, clustering)

Exposure to:

AI-driven operations (AIOps), anomaly detection, or automated remediation
Large-scale messaging modernization or migration programs
Messaging or middleware certifications (IBM MQ, Kafka, or equivalent)
Experience in regulated environments (e.g., financial services)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91126058
Position Id: 9066908
Posted 3 hours ago

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Anusha Chenna

Recruiter @ Prohires

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