Senior SRE / AIOps Engineer – Observability

Position Details

Job Title: Senior SRE / AIOps Engineer – Observability & Intelligent Operations

Location: Minneapolis, MN(Onsite)
Experience: 8+ Years
Focus Areas: SRE | AIOps | Observability | Cloud | Automation | AI-Enabled Operations

Key Responsibilities

• Define and track SLIs/SLOs, manage error budgets, and drive continuous improvements in availability, latency, and resiliency.
• Build and optimize observability and AIOps platforms, including monitoring, dashboards, alerting, and log/metric/trace correlation.
• Work with tools such as Dynatrace and Splunk to reduce alert noise and accelerate incident detection and troubleshooting.
• Lead incident response, on-call activities, war rooms, and root-cause analysis.
• Conduct post-incident reviews and ensure corrective and preventive actions are completed.
• Develop runbooks, scripts, and automated remediation workflows to reduce operational toil and improve MTTR.
• Partner with Engineering and business stakeholders on architecture, release readiness, capacity planning, and operational standards.
• Translate reliability metrics and risks into executive-level reporting, including MTTD, MTTR, error-budget burn, and recurring toil.

Required Skills & Experience

• 5+ years of experience in SRE / Production Operations.
• Strong understanding of SLOs, SLIs, error budgets, incident management, and automated remediation.
• 3+ years of hands-on experience with observability tools such as Dynatrace and Splunk.
• Strong experience with logs, metrics, traces, alert tuning, dashboard development, and noise reduction.
• 3+ years operating cloud-based services on AWS, Azure, or Google Cloud Platform.
• Strong knowledge of Linux, networking, containers, Kubernetes, and Infrastructure as Code.
• Experience with Terraform, CloudFormation, or similar IaC technologies.
• Strong scripting/automation skills using Python and/or Bash.
• Experience with CI/CD pipelines and automated operational workflows.
• Experience building runbooks, self-healing workflows, and remediation automation.
• Hands-on experience with AI-assisted incident response, including auto-triage, incident summarization, pattern detection, anomaly detection, or predictive alerting.
• Working knowledge of Security/DevSecOps, vulnerability management, secrets/certificate governance, and secure CI/CD practices.

Preferred Skills

• Experience with canary and blue-green deployments.
• Experience with chaos engineering, disaster recovery drills, performance testing, and capacity planning.
• Experience with Well-Architected Reviews, Azure WARA, or Azure Advisor.
• Hands-on integration with ServiceNow and PagerDuty.
• Experience building low-friction incident escalation and notification workflows.
• Experience with AI tools such as GitHub Copilot, Microsoft 365 Copilot, or other enterprise-approved AI platforms.

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