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Personetics Operations Support Engineer 
United Kingdom, England, London 
670781862

25.03.2025
Responsibilities
  • 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