Systems Engineer - Observability (Ref 26580)

Roles & Responsibilities

Responsibilities

• Responsible for maintaining an Elastic SaaS-based observability platform, implementing effective monitoring, metrics, logging, and visualisation systems.

• Work with vendors to design, develop and optimises telemetry pipelines for logs, metrics and AI/ML functionalities using tools like Elastic Stack, Logstash, and supporting infrastructure.

• Collaborate with internal teams to onboard existing infrastructure devices to observability platform.

• Conceptualize and implement early anomaly detection (reduction of mean-time issue identification), pattern analysis, self-healing, infrastructure resizing, noise reduction and outage prediction.

• Develop and maintain visualization in observability tools, providing single pane views for end user experience for infrastructure and security.

• Provide expertise support to the end users for report customisation and dashboarding

Requirements

• Degree in Computer Science, Information Technology, or a related field

• Min 3 years of experience in Enterprise-level infrastructure environment and 1 year of experience in Enterprise-level monitoring and/or Logging Technologies.

• Hands-on experience with modern observability tools and frameworks is preferred but open to candidates with prior experience in monitoring solutions who are looking to transition into modern observability practices

• Good knowledge in infrastructure monitoring and logging technologies.

• Working knowledge in working with programming, scripting languages and infrastructure automation.

• Proficiency in RHEL/Linux/Unix, scripting (Ruby, Shell, Painless)

• Strong problem-solving skills and a proactive attitude towards learning new technologies

• Excellent communication, documentation and teamwork skills, with the ability to work effectively in a collaborative environment

Licence no: 12C6060

Tell employers what skills you have

implementing monitoring tools
Liaising With Designers
Infrastructure Upgrades
Adaptive Server Enterprise
Information Technology
Outage Planning
Healing
Computer Science
Logging
Anomaly Detection
Report Generation
Pattern Recognition
Systems Engineering
visualization system
Metrics
Infrastructure Support