Logifuture

Application Performance Monitoring and Support Manager

🇷🇴 Bucharest, Rumanía Híbrido Tecnología Jornada completa Lead Publicado Jun 4, 2026
Ubicación Bucharest, Rumanía
Modalidad Híbrido
Contrato Jornada completa
Seniority Lead
Categoría Tecnología
Categoría IT Soporte IT y sistemas
Idioma English
Publicado 4 de junio de 2026
Última verificación 4 de junio de 2026
Contexto de JobGrid

Resumen del puesto por JobGrid

Application Performance Monitoring and Support Manager at Logifuture in Bucharest, Romania is a hybrid, full-time IT role at Lead level. JobGrid normalizes the public posting into comparable role facts and sends candidates to the original application page with referral parameters. This listing is part of JobGrid's Empleos de soporte IT en páginas de empresas.

  • Role classification: IT, subcategory IT Support & Systems, Lead level.
  • Workplace and location: hybrid in Bucharest, Romania.
  • Source language: English; JobGrid keeps the source boundary separate from the employer description.
  • Freshness: posted on 2026-06-04 and last checked on 2026-06-04; no salary was listed.

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.