Position Overview

This role sits within the Observability Platform Engineering team, focusing on managing and scaling an Elastic SaaS-based observability platform to enhance infrastructure resiliency. The engineer designs, deploys, and optimizes telemetry pipelines for logs, metrics, and traces using tools like Elastic Stack, Logstash, and supporting infrastructure. Responsibilities emphasize platform availability (99.99% SLO), security, performance, and self-service capabilities for operations teams.

We are open to fresh graduates who are enthusiastic, creative, and willing to learn. Candidates should have a strong interest in automation and a proactive attitude towards embracing new technologies and challenges.

Role & Responsibilities

Manage Elastic SaaS availability, security (RBAC, ILM policies), performance tuning, autoscaling, upgrades, DR testing, patching, and cost optimization via tiered storage
Operate Logstash servers, Elastic Agents/policies, and supporting infrastructure such as Nutanix hypervisors and F5 load balancers
Maintain observability pipelines for data ingestion, parsing, normalization, dashboards, alerting rules, and Kibana visualizations
Integrate with automation platforms (e.g., Ansible), ServiceNow for incident workflows, and AIOps for event correlation and self-healing remediation
Troubleshoot ingestion issues, conduct root cause analysis, and collaborate on resiliency metrics and SLOs
Collaborate with development and operations teams to instrument applications and infrastructure for better visibility
Document processes, configurations, and best practices to ensure knowledge sharing and continuity

Requirements

Degree or Diploma in Computer Science, Information Technology, or a related field
Min 3 years equivalent practical experience in IT
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
Experience with cloud-native environments, Nutanix, F5, and integrations for enterprise observability
Candidate should have a strong foundation in monitoring and troubleshooting
Proficiency in Linux/Unix, scripting (Ruby, Shell, Painless)
Strong problem-solving skills and a proactive attitude towards learning new technologies
Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment

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Senior Systems Engineer - Observability & Automation (Central Infrasecurity)