Application Performance Monitoring and Support Manager
Role summary by JobGrid
Application Performance Monitoring and Support Manager at Logifuture in Ta’ Xbiex, Malta, is listed as a hybrid, full-time role. JobGrid keeps the page grounded in structured facts: the source was posted and last checked on 2026-06-04, the listing language is English, and no salary is shown. Candidates are sent to the original public application page with referral parameters appended.
- Role and company are normalized as Application Performance Monitoring and Support Manager at Logifuture.
- Location is Ta’ Xbiex, Malta, with a hybrid workplace and full-time employment.
- Source freshness is current to 2026-06-04 based on posted and last-checked timestamps.
- Work language is English; the listing does not provide salary, seniority, category, or subcategory fields in the structured payload note the employer application path points to the
We are seeking an Application Performance Monitoring and Support Manager to lead our support team and ensure top-tier service delivery. Responsibilities include managing incident processes, overseeing application monitoring, and collaborating with development teams. Ideal candidates will have a background in IT, strong problem-solving skills, and proficiency with monitoring tools and SQL
Responsibilities
- Lead and manage the application support team, ensuring high‑quality service delivery.
- Oversee incident management processes, ensuring timely resolution of issues.
- Implement and maintain monitoring tools to ensure system performance and availability.
- Work closely with development teams to ensure smooth deployment of new features and updates.
- Provide regular updates on system performance, incidents, and resolutions to senior management.
- Ensure adherence to regulatory requirements and internal policies.
- Conduct capacity management processes and forecasting.
- Conduct post‑mortem meetings and follow up on action items.
- Leverage AI‑driven observability to detect anomalies, predict incidents, and automate root‑cause analysis.
- Implement AI‑based alerting and noise reduction to improve signal‑to‑noise ratio in monitoring systems.
- Use LLM‑based assistants to accelerate troubleshooting, log analysis, and knowledge retrieval.