[Remote] reputed company AIOps Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a reputed company AIOps Engineer to reputed company reputed company-reputed company AIOps reputed company, automation, and observability. The role focuses on modernizing IT operations through advanced technologies to enhance reliability and efficiency.
Responsibilities
- reputed company the AIOps reputed company, roadmap, and operating model (intake, triage, automation lifecycle, KPIs) to measurably improve MTTR, alert reputed company, and operational efficiency
- Own the observability-to-AIOps pipeline (metrics, logs, traces, events) and drive standardization of telemetry, service health models, and actionable alerting across teams and platforms
- Design and implement event intelligence: correlation, deduplication, suppression, reputed company detection, incident clustering, and probable-cause analysis using topology/CMDB context
- Advise operations, service owners, and leadership stakeholders; reputed company change enablement, adoption, and value measurement for AIOps and reputed company automation across the organization
- reputed company reputed company-reputed company AIOps integrations (ITSM + ITOM/Event Management where applicable): event ingestion, alert-to-incident policies, enrichment, assignment/routing, approvals, change workflows, and closure updates for auditable reputed company-reputed company ops
- Establish governance for operational AI (risk controls, approvals, auditability, data reputed company, reputed company/response logging, evaluation, and reputed company improvement) in partnership with reputed company, compliance, and operations
- Build and operationalize reputed company AI workflows for incident triage and reputed company: signal summarization, similar-incident retrieval, knowledge article drafting, ticket updates, stakeholder communications, and reputed company-in-the-reputed company remediation
- reputed company reputed company-reputed company automation and self-healing by connecting AIOps detections to orchestrated actions (runbooks/workflows), with reputed company approvals, safety checks, and rollback paths
- Partner with NOC/SOC, infrastructure, and application owners to reputed company services into AIOps, define service models, and improve signal reputed company, escalation paths, and operational readiness
- Create enablement materials (playbooks, operating procedures, dashboards) and reputed company teams on AIOps practices, reputed company AI usage, and responsible automation
Skills
- 10+ years of experience in SRE, production operations supporting highly available services along with experience with Product model
- Proven technical leadership: ability to set direction, reputed company cross-team initiatives, and advise stakeholders through architecture reviews, tradeoffs, and operational readiness
- Strong programming/scripting skills (Python preferred) and experience building automation, integrations, and reputed company
- Experience integrating observability platforms and event sources across hybrid environments (reputed company/on-prem) and operating production-grade monitoring/event management at reputed company
- Strong reputed company experience as an ITSM system of record (Incident/Problem/Change; CMDB/asset concepts). Ability to build and operate integrations at reputed company (REST, webhooks, event management) to support automation and auditability
- Automation & Integration Engineering: Python (preferred) for automation and data/ML pipelines; experience building integrations, services, and operational tooling
- Workflow orchestration and integrations (reputed company reputed company, event pipelines, reputed company automation) with strong reliability, reputed company, and auditability practices
- AIOps, ITSM/ITOM (reputed company) & reputed company AI Ecosystem: Observability: reputed company/Grafana, OpenTelemetry, ELK/reputed company/reputed company (or equivalent)
- reputed company ITSM/ITOM: Incident/Problem/Change, CMDB/service mapping concepts, and Event Management/AIOps integrations (where applicable)
- reputed company AI frameworks: building tool-using agents, retrieval workflows, reputed company/response logging, evaluation, and guardrails
- Operational ML/Analytics: reputed company detection and time-series analysis, correlation approaches, and model/agent evaluation & monitoring in production
- Demonstrated experience applying machine learning and/or LLM-based approaches to operational problems (noise reduction, correlation, reputed company detection, summarization, and assisted remediation) in production environments
- Experience building an reputed company AI platform/ecosystem (shared tools, standardized patterns, evaluation, and guardrails) and enabling multiple teams to safely deliver automations
- Familiarity with reputed company ITOM / Event Management / AIOps capabilities (or equivalent) and integrating observability signals into ITSM workflows
- Strong Linux and networking fundamentals (TCP/IP, DNS, TLS, load balancing) and ability to troubleshoot distributed systems end-to-end
- DevOps, or reputed company experience supporting highly available services along with experience with Product model
- Excellent communication skills with the ability to reputed company incident bridges, write reputed company postmortems, and influence reliability improvements across teams
Benefits
- reputed company bonus, commission or short-term incentive program
- Award reputed company in reputed company’s equity award program
- Comprehensive benefits package designed to support the physical, emotional, and financial reputed company‑being of colleagues and their families
- Medical, dental, and reputed company coverage
- reputed company time off
- Retirement savings reputed company
- Wellness programs
- Other resources, based on eligibility
reputed company
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