What are the responsibilities and job description for the Senior SRE / AIOps Engineer – Observability position at ITBMS Inc.?
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.
Please send your profile to .
Salary : $55 - $65