· Don’t miss out on this great opportunity. Apply today for an immediate start!!!
What’s involved:
· Support and enhance production applications, services, and platforms within a large-scale enterprise environment
· Work across development, operations, and product teams to improve reliability, automation, and operational standards
· Monitor and maintain service availability, latency, performance, and overall system health
· Support and improve CI/CD pipelines, including deployment validation and operational gating
· Use automation and scripting to improve reliability, scalability, and operational efficiency
· Troubleshoot complex production issues across the wider technology stack and drive improvements to mean time to recovery
· Support services through design, capacity planning, launch reviews, deployment, and ongoing production support
· Analyse ITSM activities and identify operational gaps, resiliency concerns, and opportunities for improvement
· Participate in incident response and blameless post-mortems
· Work with global teams across multiple geographies and time zones
· Contribute to an AI-focused programme supporting the development and deployment of enterprise AI and data platforms
What you need:
· 3+ years' experience in Site Reliability Engineering, DevOps, Platform Engineering, or a similar role
· Strong experience with Splunk and Dynatrace for monitoring, observability, and production support
· Strong scripting experience with Unix/Shell and Python, alongside SQL
· Hands-on experience with CI/CD tooling, particularly Git/BitBucket, Jenkins, Maven, Artifactory and/or Chef
· Experience supporting and deploying AI, machine learning, data platforms, or large-scale distributed systems
· Experience with automation, pipeline management, software design, and production troubleshooting
· Experience with technologies such as Apache NiFi, XLR, or similar enterprise tooling would be advantageous
· Strong understanding of DevOps and SRE principles, including reliability, monitoring, incident management, automation, and continuous improvement
· Excellent communication skills with the ability to work across development, operations, product, and business teams
· Fintech or financial services experience would be highly advantageous
· Degree in Computer Science, a related technical discipline, or equivalent practical experience
What’s on offer:
· Competitive daily rate up to €806.58
· Hybrid working in Dublin, with 3 days per week in the office
· 12-month initial contract with potential for extension and permanent opportunity
· Opportunity to work with Mastercard on a major AI, data and technology transformation programme
· Exposure to enterprise-scale AI platforms, DevOps automation, SRE practices and global technology teams