Summary
✨ AI‑Generated
A production support role focused on maintaining reliable services, troubleshooting incidents, improving monitoring, and automating operational workflows. The ideal candidate has strong Linux skills, scripting experience, and a problem-solving mindset.
Highlights
Opportunity to support critical production systems, improve operational reliability, automate processes, and collaborate with engineering teams.
Description
Service support & incident managementMonitor and support production services, responding to incidents and service requests within agreed SLAs.Perform initial troubleshooting by reviewing logs, monitoring dashboards, SQL data, and application behaviour.Investigate issues on Unix/Linux environments using standard command-line tools.Coordinate recovery activities with engineering and infrastructure teams where required.Provide timely updates to stakeholders on service status and recovery progress.Problem management & continuous improvementParticipate in root cause analysis and post-incident reviews.Create and maintain operational documentation, runbooks, and knowledge articles.Identify opportunities to improve monitoring, reduce alert noise, and increase operational resilience.Automation & Operational ExcellenceAutomate repetitive operational tasks using scripting languages such as Bash, PowerShell, or Python.Develop simple operational tools that improve team efficiency.Demonstrate practical use of AI tools (e.g.
Copilot, Claude) to improve documentation, automate repetitive activities, or support operational analysis.Change & Release SupportParticipate in deployment, patching, disaster recovery exercises, and platform maintenance.Review operational readiness of changes and highlight potential support risks.Experience in Production Support or IT Operations, preferably within financial services.Basic hands-on Unix/Linux skills, including navigating the operating system, checking logs, and investigating application status.Ability to write and troubleshoot SQL queries.Experience writing scripts using Bash, PowerShell, or Python.Practical experience supporting and maintaining Kubernetes environments.Experience using monitoring and observability tools such as Splunk, AppDynamics, Prometheus or similar.Good understanding of IT infrastructure concepts and distributed applications.Working knowledge of Incident, Problem and Change Management processes.Strong communication skills in English and the ability to collaborate effectively with global teams.Demonstrated experience improving operational processes through automation and continuous improvement initiatives.Practical experience using AI productivity tools (e.g.
Copilot, Claude) to support automation, documentation, or operational analysis.Knowledge of payment systems or payment processing concepts.Experience with Oracle, Kafka, MQ or WebSphere.Experience supporting disaster recovery exercises.ITIL certification.
