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Tier-1 brand, remote role, mid-level devops title, metro market and broad skillset increase candidate competition.
Core devops and observability skills transfer broadly, though enterprise SaaS and Okta experience slightly favor tech firms.
Multiple explicit 3+ year requirements plus mandatory cloud, observability, IaC, and CI/CD skills increase strictness.
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Drive AI-powered operational health improvements using LLMs for ticket triage, intelligent automation, incident response, and self-healing observability.
Manage ticket queues by prioritizing, resolving, and automating recurring issue categories to reduce backlog and MTTR.
Build and maintain monitoring dashboards with AI-enhanced insights to provide stakeholders visibility into service health and data quality.
3+ years experience with observability and metrics tools (Prometheus, Grafana, Datadog, ElasticSearch).
3+ years experience with data querying and pipelines (SQL, Airflow, Trino, SQS).
Hands-on experience with Infrastructure as Code, CI/CD, and automation tooling across AWS, GCP, or Oracle Cloud.
Work Experience Required: 3+ years in relevant technical operations engineering roles.
Experienced with AI-assisted operational tools integrating LLMs for automation and troubleshooting in production environments.
Proficient coder in languages like Python, Go, JavaScript, TypeScript, and Bash for scripting automation workflows.
Thrives in ticket-driven, collaborative environments partnering with global stakeholders and supporting enterprise SaaS and identity integrations.