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Senior Splunk Observability Engineer

BayOne Solutions Raleigh-durham-chapel Hill Area
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design and implement automated provisioning pipelines, manage Splunk Observability platform, and drive observability adoption across systems and applications. Collaborate with cross-functional stakeholders and drive problem-solving in complex distributed environments. Utilize expertise in infrastructure operations, DevOps engineering, and automation.

Key Highlights
Participate in Agile scrum ceremonies and sprint planning
Design and implement automated provisioning pipelines
Manage Splunk Observability platform and drive observability adoption
Technical Skills Required
Red Hat Enterprise Linux Ansible Terraform Puppet Python Ruby OpenTelemetry Telegraf Splunk Observability Cloud Splunk Enterprise OpenStack VMware vSphere UCS compute infrastructure iptables system security best practices CIS benchmarks security patch management
Benefits & Perks
Remote work
Hourly rate: $70
Duration: 12+ months

Job Description


Role: Splunk Observability Engineer

Location: Remote

Duration: 12+ Months


Rate: $70/Hr.W2


Technical Expertise


• Education & Experience:

◦ Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field (preferred)

◦ 8–10 years of relevant experience in infrastructure operations, observability, or DevOps engineering.

◦ Proven experience in managing environments with 10,000+ compute systems across RHEL, OpenStack, and VMware.


• Core Infrastructure Expertise:

◦ Strong hands-on experience with Red Hat Enterprise Linux — build, configuration, hardening, patching, and lifecycle operations.

◦ Working knowledge of VMware vSphere, *** UCS compute infrastructure, and OpenStack environments.

◦ Deep understanding of networking fundamentals, firewalls, iptables, and system security best practices.


• Automation & Configuration Management:

◦ Expertise with Ansible, Terraform, and Puppet for OS provisioning, configuration, and lifecycle automation.

◦ Experience with CI/CD pipelines using Git, Jenkins, or similar tools for automated delivery and testing.

◦ Strong scripting and automation background in Python or Ruby.


•Security & Compliance:

◦ Understanding of OS hardening, CIS benchmarks, and security patch management.

◦ Experience working with InfoSec and compliance teams to remediate vulnerabilities and maintain secure build standards.

• Observability & Monitoring:

◦ Experience designing and managing Splunk Observability Cloud, Splunk Enterprise, or equivalent monitoring platforms.

◦ Ability to instrument applications and systems using OpenTelemetry, Telegraf, or custom agents.

◦ Knowledge of metrics, logs, traces, and events correlation to build actionable insights and alerts.


Key Responsibilities:

• Participate actively in Agile scrum ceremonies and sprint planning.

• Design and implement automated provisioning pipelines for RHEL and observability agents using Ansible, Terraform, and CI/CD workflows.

• Manage the Splunk Observability platform — ingestion pipelines, detectors, dashboards, and alerting.

• Monitor, diagnose, and resolve complex infrastructure performance issues.

• Drive observability adoption across systems and applications, improving MTTR and SLO compliance.

• Maintain documentation, runbooks, and configuration repositories for infrastructure and observability systems.


Non-Technical / Behavioral Skills

• Proven experience working in Agile environments with globally distributed teams.

• Strong communication and collaboration skills, with the ability to influence cross-functional stakeholders.

• Demonstrated problem-solving and troubleshooting ability in complex distributed environments.

• Self-motivated and proactive with a strong sense of ownership and accountability.

• Experience with open-source ecosystems and community-driven development practices.


Preferred Qualifications

• Splunk certifications (e.g., Splunk Certified Admin / Observability Engineer / Core Certified Power User).

• Exposure to Kubernetes, AWS CloudWatch, or Grafana/Prometheus integration.

• Experience implementing AIOps, anomaly detection, or predictive alerting solutions.


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