Senior Observability Operations Engineer

Phoenix, AZ, US • Posted 10 hours ago • Updated 10 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Dynatrace
  • Splunk
  • OpenSearch/Elasticsearch
  • AI/ML
  • GenAI
  • Linux

Summary

Job Title: Senior Observability Operations Engineer

Location: Phoenix, AZ (Onsite)

Duration: Long term contract

Job Description:

  • We are seeking a highly skilled Senior Observability Operations Engineer to manage and enhance our enterprise observability platform.
  • The ideal candidate will have deep expertise in Dynatrace, Splunk, OpenSearch/Elasticsearch, Kubernetes, Linux, and cloud-native observability solutions.
  • Experience leveraging AI/ML and Generative AI to improve observability, automate operations, and accelerate incident resolution is highly desirable.
  • The role is responsible for ensuring high availability, scalability, operational excellence, and continuous improvement of enterprise monitoring and logging platforms supporting mission-critical applications.

Key Responsibilities

  • Administer and optimize enterprise observability platforms including Dynatrace, Splunk, and OpenSearch/Elasticsearch.
  • Design, deploy, configure, and maintain monitoring, logging, tracing, and alerting solutions.
  • Manage large-scale OpenSearch/Elasticsearch clusters, including indexing strategies, performance tuning, shard optimization, backups, and capacity planning.
  • Configure Dynatrace OneAgent, ActiveGate, Synthetic Monitoring, Real User Monitoring (RUM), Digital Experience Monitoring (DEM), Davis AI, and Application Performance Monitoring (APM).
  • Administer Splunk Enterprise, Universal Forwarders, Indexers, Search Heads, Cluster Manager, Deployment Server, and Splunk ITSI.
  • Develop dashboards, alerts, reports, and executive operational metrics.
  • Support Linux-based infrastructure and Kubernetes environments (Docker/OpenShift/Rancher preferred).
  • Implement observability best practices using OpenTelemetry, distributed tracing, metrics, logs, and events.
  • Perform root cause analysis for production incidents using observability platforms.
  • Collaborate with Platform Engineering, SRE, DevOps, Infrastructure, and Application teams.
  • Automate operational tasks using Python, Shell scripting, REST APIs, Terraform, or Ansible.
  • Participate in incident, problem, change, and release management processes.
  • Drive platform upgrades, patching, security compliance, and operational governance.
  • Improve platform reliability through automation, self-healing, and AI-assisted operations.

Required Technical Skills

Observability Platforms

  • Dynatrace Administration
  • Splunk Enterprise Administration
  • OpenSearch Administration
  • Elasticsearch Administration
  • Grafana
  • Prometheus
  • Kibana
  • Jaeger
  • OpenTelemetry
  • Kafka (preferred)

Infrastructure

  • Linux Administration
  • Kubernetes
  • Docker
  • OpenShift or Rancher
  • Networking (TCP/IP, DNS, Load Balancers, Firewalls)
  • System Administration

Cloud & DevOps

  • AWS, Azure, or Google Cloud Platform
  • CI/CD pipelines
  • Git
  • Terraform
  • Ansible
  • REST APIs

Scripting

  • Python
  • Bash/Shell
  • PowerShell (preferred)

AI & Automation Skills (Preferred)

  • Experience using Generative AI (ChatGPT, GitHub Copilot, Amazon Q, Microsoft Copilot, or similar) to improve operational efficiency.
  • Knowledge of AIOps platforms and AI-driven observability.
  • Experience with Dynatrace Davis AI for anomaly detection and root cause analysis.
  • Understanding of machine learning concepts for predictive monitoring and intelligent alerting.
  • Experience building AI-assisted operational runbooks and troubleshooting workflows.
  • Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI-powered knowledge search is a plus.
  • Experience integrating AI with observability platforms using APIs.
  • Familiarity with LLMs, prompt engineering, and AI-assisted automation.
  • Experience using Python with AI frameworks (LangChain, LangGraph, OpenAI APIs, or similar) is desirable.
  • Exposure to AI-driven incident summarization, log analysis, and automated ticket enrichment.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
  • 6 10+ years of IT infrastructure or observability operations experience.
  • 4+ years administering Dynatrace, Splunk, OpenSearch, or Elasticsearch.
  • Strong Linux system administration experience.
  • Experience supporting enterprise-scale production environments.
  • Strong troubleshooting and analytical skills.
  • Excellent communication and stakeholder management skills.

Preferred Certifications

  • Dynatrace Associate or Professional Certification
  • Splunk Enterprise Certified Administrator
  • Elastic Certified Engineer
  • Kubernetes (CKA/CKAD)
  • AWS/Azure/Google Cloud Platform Certification
  • ITIL Foundation
  • AI/ML or Generative AI certification (preferred)

Soft Skills

  • Strong ownership and accountability
  • Excellent problem-solving and analytical thinking
  • Ability to work independently with minimal supervision
  • Strong collaboration across cross-functional teams
  • Continuous learning mindset
  • Ability to thrive in fast-paced production environments

Thanks & Regards

Saravanan

DMinds Solutions Inc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10513378
  • Position Id: 9046175
  • Posted 10 hours ago
Contact the job poster
SM

saravanan Muthusamy

Recruiter @ Dminds Solutions Inc.
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