Operations Engineer, BizTech

Responsibilities

• Manage the ticket queue, prioritizing and resolving requests while identifying recurring categories to automate or deflect.
• Participate in a rotating on-call and incident response schedule, including weekends, troubleshooting and documenting issues in real time.
• Build and maintain monitoring dashboards (Tableau, Superset, Grafana) that track service health, availability, and data quality, flagging gaps as they emerge.
• Use AI-assisted tools (e.g., Claude, Copilot) to speed up triage, root-cause analysis, scripting, and documentation — while knowing when a problem needs hands-on judgment instead.
• Write and maintain code in general-purpose languages (Python, Go, JavaScript, TypeScript, Bash) to automate operational workflows.
• Partner with global stakeholder teams to drive issues to resolution.
• Apply AI at the forefront of operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability.
• Prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over.

Requirements

• 3+ years of experience with observability and metrics tooling (e.g., Prometheus, Grafana, Datadog, ElasticSearch).
• 3+ years working with data querying and pipelines (e.g., SQL, Airflow, Trino, SQS).
• Working knowledge of network fundamentals and hardware (e.g., Cisco, Palo Alto).
• Experience with Infrastructure as Code.
• Hands-on experience with CI/CD and automation tooling (e.g., Jenkins, ArgoCD, GitHub Actions) across AWS, GCP, or Oracle Cloud.
• Comfort working in ticket/workflow-driven environments using Jira and Confluence.

Nice-to-Haves

• Experience supporting enterprise SaaS tools (e.g., Salesforce, Workday) and SSO/identity integration (e.g., Okta).