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Engineering Manager

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Nabla Infotech LLC
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    SRE/Site Reliability, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Location:

Phoenix, AZ (Hybrid) Work Stream - AI Ops Engineering Manager – AI Ops & Autonomous Operations Platform

We are seeking an Engineering Manager to build and lead an enterprise AI Ops platform that transforms IT operations through AI, automation, and observability.

  • Lead the development of a greenfield AI Ops and Autonomous Operations platform.
  • Build capabilities for proactive monitoring, intelligent alerting, and self-healing systems.
  • Establish enterprise standards for observability, reliability, and operational intelligence.
  • Own the AIOps roadmap, architecture, and delivery strategy.
  • Lead teams of SREs, AI Engineers, Platform Engineers, and Automation Engineers.
  • Implement AI-driven event correlation and root cause analysis.
  • Drive automation of incident triage, diagnosis, and remediation workflows.
  • Develop GenAI and Agentic AI solutions for operational support.
  • Leverage telemetry data from logs, metrics, traces, events, and CMDB.
  • Build enterprise observability solutions using Open Telemetry and modern monitoring platforms.
  • Define and mature SLI, SLO, SLA, and error-budget frameworks.
  • Improve platform reliability, resilience, and operational efficiency.
  • Reduce alert noise and operational toil through intelligent automation.

    Partner with Infrastructure, Cloud, Security, Risk, and Application teams.
  • Lead major incident management and post-incident improvement programs.
  • Establish AI-assisted operations practices and governance models.
  • Drive cost optimization, capacity forecasting, and predictive operations.
  • Deliver executive dashboards aligned to business outcomes and customer experience.
  • Build a self-service operational intelligence platform for engineering teams.
  • Create measurable improvements in MTTR, MTTA, availability, and engineering productivity.
Key

Skills:

AIOps, SRE, Observability, Open Telemetry, Datadog, Splunk, Service Now, AI/ML, GenAI, Agentic AI, Kubernetes, Cloud Platforms, Incident Management, Automation, Platform Engineering, Reliability Engineering.

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