Senior Observability Engineer - Elasticsearch, APM, Azure, Service now

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Scope:

Receives work assignments through the ticketing system or from Lead Administrators or management.
Provide Level 3/4 support for all observability capabilities across cloud, on-premises, and hybrid environments, with a primary focus on the Elastic Observability Platform.
Design, implement, and maintain end-to-end monitoring, logging, tracing, and alerting systems using the Elastic Stack (Elasticsearch, Kibana, Elastic Agents/Beats, Logstash, APM).
Collaborate with internal and external stakeholders to ensure reliable telemetry, high-quality alerting, and seamless integrations with infrastructure, networks, SaaS platforms, and cloud services.
Ensure security, scalability, performance, and availability of observability systems and enterprise monitoring pipelines.
Support monitoring maturity initiatives by improving instrumentation, reducing alert noise, and delivering actionable operational insights.
Develop and maintain synthetic monitoring, user-experience metrics, health checks, and alerting for key SaaS applications including Workday, Salesforce, and ServiceNow.
Support incident management by providing real-time dashboards, correlation insights, root-cause analysis data, and overall observability-driven improvements to MTTD and MTTR.
Provide documentation, observability standards, and runbooks while guiding internal teams on dashboards, alert tuning, and best-practice monitoring patterns.
Work closely with Cloud, Infrastructure, Network, Application, and Security teams to ensure cohesive telemetry coverage and continuous improvement of monitoring across the enterprise.
Required to provide on-call support during off-duty hours on weekdays, weekends, and holidays on a rotating basis.

Our Current Technical Environment:

Tools:Elastic Stack (Elasticsearch, Kibana, APM, Logstash, Beats / Elastic Agents), ServiceNow, Azure Monitor, API integrations.
Platforms:Azure cloud services, VMware, Linux/Windows servers, enterprise networking, Kubernetes/Containers.
SaaS:Workday, Salesforce, ServiceNow, Jira, Confluence, Microsoft 365 (Teams, Exchange, SharePoint).
Programming & Scripting:PowerShell, Python, Bash, API integrations.
Cloud Architecture:Azure (ARM Templates, Terraform), container environments, hybrid cloud.
Monitoring Concepts:Logs, metrics, traces, synthetics, anomaly detection, machine-learning–based alerting, RCA dashboards, ILM policies.

What You’ll Do:

Receive work assignments from the ticketing system or leadership and execute observability engineering requests.
Architect, deploy, and manage Elastic-based observability solutions across hybrid cloud and on-prem environments.
Configure dashboards, visualizations, alert rules, anomaly detection jobs, and ML-based detections within Elastic.
Optimize ingestion pipelines, index lifecycle management (ILM), retention policies, and search/query performance.
Integrate Elastic Observability with Azure, VMware, network devices, Microsoft 365, ServiceNow, and API-based data sources.
Implement logs, metrics, and traces instrumentation across infrastructure, cloud workloads, network systems, and containers.
Build synthetic monitoring checks, baseline performance metrics, and user-experience monitoring for critical SaaS applications.
Design and refine alerting strategies to reduce false positives and improve detection precision.
Support incident response by providing real-time monitoring views, RCA data, correlation insights, and post-incident analytics.
Maintain dashboards, documentation, and runbooks for internal teams.
Train teams on Elastic usage, dashboard interpretation, and alert tuning for operational excellence.
Collaborate with cross-functional teams (Cloud, Infrastructure, Enterprise Apps, Security) to define and enforce monitoring standards.
Participate in major initiatives to embed observability controls into design, deployment, and operations.
Ensure observability systems meet enterprise requirements for performance, security, scalability, and compliance.
Provide on-call support for critical incidents on a scheduled rotation.

What We Are Looking For:

Bachelor’s degree in Computer Science, Engineering, MIS, or equivalent work experience.
5–8 years of experience in observability engineering, SRE, monitoring, or IT operations.
Proven hands-on experience with the Elastic Stack (Elasticsearch, Kibana, Beats/Elastic Agent, Logstash, APM).
Experience monitoring Azure and/or AWS cloud services.
Strong knowledge of instrumentation for logs, metrics, and traces across hybrid environments.
Experience with monitoring data center systems, networks, VMware, Microsoft 365, and Linux/Windows workloads.
Hands-on experience configuring monitoring for SaaS apps such as Workday, Salesforce, Jira, Confluence and ServiceNow.
Strong scripting skills in PowerShell, Python, Bash, or similar.
Experience with API integrations, automation, data ingestion pipelines, and monitoring agents.
Ability to work under pressure and meet deadlines in a fast-paced environment.
Ability to act independently, prioritize effectively, and drive observability improvements.
Excellent analytical and troubleshooting skills with a focus on reliability and continuous improvement.
Strong communication skills and ability to collaborate with engineers, architects, and stakeholders.
Understanding of monitoring governance, logging standards, and observability best practices.
Familiarity with Grafana, Prometheus, Splunk, AppDynamics, or Dynatrace (preferred).
Knowledge of Terraform, Ansible, or Infrastructure-as-Code (preferred).
Understanding of ITIL processes and incident/problem management methodologies.
Experience working with hybrid cloud technologies, containers, and automation pipelines.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here:

Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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