Lead Observability Engineer, Global

Vantage Data Centers • Denver, CO

1d • Remote

About The Position

Vantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands. IT Standards Team Our team is responsible for helping other technology teams on their automation journey, and for developing IT standards that support the IT organization. We embrace many approaches and technologies to speed up the delivery and operations of our Data Centers. From Zero-Touch provisioning of network equipment to the deployment of applications on containerization platforms, we apply our software and operation industry expertise everywhere we can. We question the status-quo and are not afraid to suggest new ways to do things. Individual contributors are encouraged to speak up, propose new insights and take an active role in the definition of our roadmap. Position Overview This role will be based remotely in the US. Our team builds and operates the observability platform for Vantage Data Centers, enabling engineering and operations teams to understand system health, performance, and availability across data center and hybrid environments. To support our growth, we are looking for an experienced Observability Engineer with deep hands-on expertise in Elastic/Elasticsearch, Logstash, and Kibana, and a strong background creating and operationalizing metrics. In this role, you will design, implement, and maintain end-to-end observability for logs and metrics: building resilient ingestion pipelines, defining schemas and parsing standards, creating Kibana dashboards and alerting, and partnering with platform, network, and application teams to set SLIs/SLOs and improve operational outcomes. You will continuously improve performance, reliability, retention, and cost of our telemetry pipelines while applying automation and infrastructure-as-code practices to keep the platform consistent and auditable.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience
• 7+ years of experience in observability, SRE, platform, or DevOps engineering roles, with demonstrated ownership of production monitoring/logging systems
• Deep, hands-on expertise with Elastic Stack: Elasticsearch (cluster operations and tuning), Logstash (pipeline engineering), and Kibana (dashboards and alerting)
• Strong experience creating and operationalizing metrics (collection, aggregation, cardinality management, alerting strategy) and defining SLIs/SLOs
• Proficiency in at least one scripting/programming language (Python, Ruby, Go, or PowerShell) for automation, data parsing, and platform tooling
• Strong knowledge of log and event data modeling, parsing (grok/regex), enrichment, and schema management (e.g., ECS), including troubleshooting ingestion issues end-to-end
• Experience with query languages and analysis techniques (KQL/Lucene, Elasticsearch DSL), and ability to build actionable visualizations and detections from telemetry
• Hands-on experience with index lifecycle management (ILM), data streams, retention policies, and capacity planning for high-volume telemetry workloads
• Experience with infrastructure-as-code and automation (e.g., Terraform, Ansible) and CI/CD practices to deploy and manage observability components
• Solid understanding of Linux systems, networking fundamentals, and distributed systems concepts as they relate to telemetry, performance, and troubleshooting
• Experience integrating telemetry from hybrid environments (data center infrastructure, virtualization, containers/Kubernetes, and cloud services)
• Familiarity with Operational Technology (OT) / Industrial Control Systems (ICS) observability concepts and common BMS/EPMS applications such as Inductive Automation Ignition
• Working knowledge of complementary observability tooling (e.g., Beats/Elastic Agent, Prometheus, Grafana, OpenTelemetry) and how to integrate telemetry between systems to follow event management practices
• Experience operating services with on-call practices, incident management, and post-incident review processes; ability to write clear runbooks
• Strong understanding of reliability engineering concepts including observability design, alert fatigue reduction, and measuring user/system impact
• Experience working within ITIL or similar operational practices (change, incident, problem management)
• Familiarity with regulatory/compliance expectations and secure handling of operational data (e.g., GDPR, PCI, SOX) as applicable
• Excellent written and verbal communication skills; ability to translate telemetry needs into standards, dashboards, and alerts that teams adopt
• Ability to work independently and collaboratively across infrastructure, network, security, and application teams

Nice To Haves

• Data center industry experience is strongly preferred, but not required

Responsibilities

• Design and operate a scalable observability platform with a primary focus on the Elastic Stack (Elasticsearch, Logstash, Kibana)
• Build and maintain log ingestion and enrichment pipelines (Logstash) including parsing, normalization, and routing standards
• Create, curate, and govern Kibana assets (dashboards, visualizations, Lens, Discover views) that support operations and engineering use cases
• Define and implement metrics and alerting standards (SLIs/SLOs, thresholds, burn-rate alerts) to improve detection and reduce MTTR
• Develop observability metrics for Operational Technology (OT) environments (e.g., BMS/EPMS/SCADA and other OT telemetry) to track availability, performance, alarms, and operational KPIs
• Partner across teams to instrument services and infrastructure, troubleshoot incidents using telemetry, and continuously improve reliability, performance, and cost
• Engineer and operate Elasticsearch clusters (or Elastic Cloud) including sizing, scaling, sharding/ILM, retention, backup/restore, and performance tuning
• Develop and maintain Logstash pipelines (inputs/filters/outputs) to ingest logs/metrics from servers, network devices, virtualization platforms, containers, and cloud services
• Create telemetry standards: field naming conventions, ECS alignment where appropriate, parsing/grok patterns, enrichment lookups, and data quality checks
• Build and maintain Kibana dashboards, visualizations, and alerting rules; publish curated views for NOC/operations and engineering teams
• Create and operationalize metrics: define SLIs/SLOs, implement metric collection/export, and ensure actionable alerting with runbooks and escalation paths
• Partner with facilities/critical infrastructure teams to define OT-focused SLIs/SLOs and metrics (e.g., alarm rates, sensor health, control loop status, device/point availability), normalize and tag OT telemetry, and build dashboards/alerts that support 24x7 operations
• Automate configuration and deployment of observability components using infrastructure-as-code and configuration management (e.g., Terraform, Ansible) and CI/CD pipelines
• Implement security best practices for telemetry platforms including role-based access control, data handling/PII controls, encryption, and auditability
• Participate in incident response and post-incident reviews; use logs and metrics to identify root cause, document findings, and drive preventive improvements

Benefits

• This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees