AIOps/Observability Engineer
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-08-29
Listing for:
Cloud Security Web
Full Time
position Listed on 2026-08-29
Job specializations:
-
IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Job Description & How to Apply Below
We are seeking an experienced AIOps / Observability Engineer to join our team in Phoenix, AZ. The ideal candidate will have strong expertise in observability platforms, cloud monitoring, automation, API integrations, and Site Reliability Engineering (SRE). This role requires hands-on experience supporting production environments, improving system reliability, and implementing proactive monitoring solutions. Banking or financial services experience is highly preferred.
Key Responsibilities- Design, implement, and maintain enterprise observability and monitoring solutions.
- Develop and optimize AIOps strategies to improve operational efficiency and reduce incident resolution time.
- Build and integrate APIs to connect monitoring, alerting, and automation platforms.
- Configure and manage cloud-native monitoring across AWS, Azure, or Google Cloud Platform.
- Automate operational tasks using scripting languages and infrastructure-as-code tools.
- Monitor production environments to ensure high availability, performance, and reliability.
- Perform incident management, root cause analysis (RCA), and problem resolution for critical production issues.
- Collaborate with development, infrastructure, and operations teams to improve application performance and resiliency.
- Create dashboards, alerts, and reports to provide real-time visibility into application and infrastructure health.
- Implement best practices for observability, logging, tracing, and performance monitoring.
- Participate in on-call production support and continuous service improvement initiatives.
- 8+ years of experience in AIOps, Observability, SRE, or Production Support.
- Strong experience with observability and monitoring platforms such as Dynatrace, Splunk, App Dynamics, Datadog, Prometheus, Grafana, New Relic, or Elastic Stack
. - Hands-on experience with REST APIs and API integrations.
- Experience with cloud platforms including AWS
- Strong scripting and automation experience using Python, Shell, Power Shell, Ansible, Terraform, or similar technologies
. - Experience with incident management, troubleshooting, and root cause analysis.
- Strong understanding of application performance monitoring (APM), distributed tracing, logging, and metrics.
- Experience supporting mission-critical production environments.
- Excellent analytical, communication, and problem-solving skills.
- Experience with CI/CD pipelines and Dev Ops practices.
- Knowledge of Kubernetes, Docker, and container observability.
- Familiarity with ITSM tools such as Service Now.
- Experience implementing AI/ML-driven monitoring and predictive analytics.
- Kafka or messaging platform monitoring.
- Infrastructure as Code (Terraform/Cloud Formation).
- Certification in AWS, Azure, GCP, Dynatrace, Splunk, or SRE.
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