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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
Job Responsibility
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
Nice to have
ITIL, CISSP, PMP, or other relevant certifications preferred
What we offer
Private health insurance
Bi-Monthly company wide social and team building activities