Description
As an Operations Engineer at BizTech, you will 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.
You will prototype agentic workflows, embed AI into runbooks and diagnostics, and continuously look for repetitive work automation can take over.
Your expertise will help drive technical breakthroughs and strategies that redefine what it means to belong anywhere, delivering greater value for the business and our people.
Key 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
- 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
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
- Experience supporting enterprise SaaS tools (e.g., Salesforce, Workday) and SSO/identity integration (e.g., Okta) is a plus