Serve as the Application Support Level 1 technical point of contact for Personetics SaaS customers.
Monitor Personetics Production and Staging environment 24x7x365 to ensure uptime and service availability and to minimize or mitigate any service disruptions
Integrate and collaborate with the Cloud Operations & R&D teams in the production environment.
Ensure Personetics network and customers service meet its high standards and SLA.
Develop and maintain Support standard operating procedures and alerts.
Handle 1st Level Escalations via phone calls , emails, and ticketing systems for both SaaS and On-premises(calls) customers
Respond to alerts in real-time, perform initial triage to determine the severity of incidents, provide solutions, or escalate to other teams.
Manage monitoring tools to ensure proactive monitoring of the SaaS environments.
Identify and resolve issues pertaining to Kubernetes clusters, pods, and application performance.
Detection and response to security events according to protocol, including triage and prioritization.
Alerting the chain of command, security, and/or privacy teams to security events.
Document incidents, resolutions, and best practices for continuous improvement.
Create, update, and track support tickets to ensure timely issue resolution.
Requirements
Application Monitoring Expert in an enterprise organization - 3-5 years of experience
Understand the basic concepts of a SaaS application architecture
Linux CLI experience - Minimum 2 years’ experience
Using scripting languages – Bash/Perl/Python etc. - Minimum 2 years’ experience
Strong troubleshooting skills - review and analyze logs
Will work in shifts 24x7 (8 hours a day) and be available for on-call support as needed
Ability to assess faults, prioritize, respond, and escalate accordingly
Understanding of cloud environments (AWS, Azure, GCP) and basic networking concepts
Capable of multi-tasking, good time management and prioritization of workload
Experience in managing Kubernetes clusters and associated tools
Excellent written and verbal communication skills and ability to collaborate effectively across teams
Nice to have
Kubernetes fundamentals
Experience in Microsoft Azure portal and tools
DB and SQL fundamentals
Information security monitoring related experience
Knowledge of monitoring tools (e.g., Datadog, New Relic, Coralogix, Nagios, or equivalent)
Familiarity with CI/CD pipelines and DevOps concepts
Exposure to log management platforms like ELK stack (Elasticsearch, Logstash, Kibana) , Coralogix or Grafana
Understanding of API troubleshooting using tools like Postman