SRE Lead with IBM MQ & Kafka

LTM

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years experience in Site Reliability Engineering or Production Engineering
  • Hands-on expertise with IBM MQ and Kafka platforms
  • Deep understanding of system reliability and availability design
  • Proficient with observability tools like Dynatrace and Splunk
  • Strong scripting skills in Shell, Python, and PowerShell
  • Experience managing production environments across Linux/Unix and Windows
  • Familiarity with event-driven architecture and messaging security protocols

Responsibilities

  • Lead reliability engineering for high-scale messaging platforms
  • Drive EOL remediation and stabilization for MQ and Kafka clusters
  • Implement SRE best practices focusing on SLIs and SLOs
  • Enhance observability for messaging flows and throughput
  • Design proactive fault detection and auto-remediation strategies
  • Build resilient messaging platforms for real-time workloads
  • Support global production environments with on-call rotation

Benefits

  • Collaborative work environment with a focus on technical excellence
  • Opportunities for professional development and growth
  • Engage with cutting-edge messaging technology
  • Participate in a culture centered around innovation and operational improvement
  • Work in a diverse team committed to supporting global clients
Full Job Description
Role description

Job Description

We are seeking an experienced Site Reliability Engineer SRE Lead Messaging Services to drive 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 largescale distributed messaging runtimes

Key responsibilities include

Leading reliability engineering for highscale messaging platforms supporting tens of thousands of runtimes and highvolume message throughput

Driving EOL remediation patching and stabilization across MQ queue managers and Kafka clusters

Implementing SRE best practices

o SLIs SLOs focused on message delivery latency and availability

o Incident management escalation and postmortem culture

Enhancing observability and monitoring for messaging flows queue depths lag and throughput

Designing proactive fault detection and autoremediation strategies eg DLQ handling backlog mitigation failover recovery

Building resilient messaging platforms capable of supporting realtime eventdriven workloads

Supporting global production messaging environments with oncall rotation and escalation ownership

Partnering with engineering application and security teams to ensure reliability scalability and secure message transport

Primary Required Skills

Strong experience in Site Reliability Engineering Production Engineering

Handson expertise with

o IBM MQ queue managers clustering channels DLQ management

o Kafka Confluent platform topics brokers partitions consumer groups

o Largescale distributed messaging systems and runtime management

Deep understanding of

o System reliability scalability and high availability design

o Messaging reliability patterns guaranteed delivery retry handling replay ordering

o Incident management root cause analysis and problem management

Experience with

o Observability tools Dynatrace Splunk Prometheus Grafana for messaging platforms

o Event and anomaly detection in highvolume systems

Strong scriptingautomation skills

o Shell Python PowerShell

Experience managing LinuxUnix and Windows production environments

Knowledge of

o Eventdriven architecture and messagingbased integration patterns

Understanding of

o Messaging platform security TLS certificates channel auth encryption

o Vulnerability remediation and risk mitigation in production systems

Excellent troubleshooting skills in highpressure realtime environments eg message backlog latency spikes connection failures

Desired Skills

Experience implementing SRE frameworks SLIs SLOs error budgets specifically for messaging workloads

Familiarity with

o Kubernetes containerized messaging platforms

Experience with

o Kafka ecosystem components Schema Registry Connect Streams

o IBM MQ advanced features Native HA clustering

Exposure to

o AIdriven operations AIOps anomaly detection or automated remediation

o Largescale messaging modernization or migration programs

Messaging or middleware certifications IBM MQ Kafka or equivalent

Experience in regulated environments eg financial services

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