Application Performance Monitoring and Support Manager
Podsumowanie roli od JobGrid
Application Performance Monitoring and Support Manager at Logifuture in Kragujevac, Serbia is a hybrid full-time role. JobGrid turns the listing into normalized, comparable facts, keeps the employer description separate, and sends candidates to the original public application page with non-personal referral parameters. The source was posted and last checked on 2026-06-04; no salary was provided in the source.
- Role title: Application Performance Monitoring and Support Manager
- Company: Logifuture; location: Kragujevac, Serbia; workplace: hybrid; employment type: full time
- JobGrid uses structured job facts for comparison and leaves the employer description separate
- Source freshness: posted 2026-06-04 and last checked 2026-06-04; work language is English; no salary was listed in the source summary provided
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.