Application Performance Monitoring and Support Manager

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. Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Several years of experience in application support, with a strong understanding of SDLC. Proficiency in SQL, incident and change management, and familiarity with monitoring tools like New Relic or Dynatrace. ITIL, CISSP, PMP, or other relevant certifications preferred. Strong problem‑solving abilities and attention to detail. Excellent communication and leadership skills. Ability to work under pressure and manage multiple tasks simultaneously. Knowledge of Linux, UNIX, Windows, and databases (Oracle, MS SQL). Experience with AI‑powered monitoring platforms (Datadog Watchdog, Dynatrace Davis, New Relic AI). Understanding of machine‑learning concepts relevant to operations: anomaly detection, forecasting, pattern recognition. Ability to evaluate and integrate LLM‑based tools into support workflows (incident summarization, RCA assistance, runbook automation). Familiarity with AIOps frameworks and automated remediation pipelines. Benefits Private health insurance; Bi-Monthly company wide social and team building activities; Hybrid & Remote work arrangements; Flexible working hours; Daily paid meal; Wellbeing day; Training and Development opportunities. Logifuture operates across seven countries, with headquarters in Malta and additional offices in the UK (London), Italy (Parma & Lecce), Austria (Innsbruck), Serbia (Kragujevac), Romania (Bucharest) and UAE (Dubai). The majority of our roles listed on our careers page are not restricted by location, giving prospective employees the flexibility to choose any of our offices. Furthermore, we also collaborate with consultants based outside these locations, broadening our talent pool and allowing us to remain agile and competitive in the global market In addition at Logifuture we embrace equality and diversity. We do not discriminate and our values of delivering results together, support this statement. We are determined to foster an inclusive environment where everyone feels valued, heard, and empowered to contribute their unique skills and experiences. Sourced from Logifuture. Apply on the company's site.