Engineering Manager with AIOPS | REMOTE | W2 & C2C

Value Spectrum Technologies LLC; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Value Spectrum Technologies LLC is seeking an Engineering Manager to build and lead an enterprise AI Ops platform that automates IT operations using AI and observability. You will own the roadmap, architecture, and delivery strategy for proactive monitoring and self-healing systems.

You will lead teams of SREs, AI and Platform Engineers, driving AI-driven event correlation, automated triage, and remediation workflows.

Qualifications

• Experience leading enterprise-grade AI Ops and observability initiatives.
• Track record delivering scalable, reliable platforms with measurable improves in MTTR/MTTA.
• Strong collaboration with infrastructure, cloud, security and product teams.

Responsibilities

• Lead the development of an AI Ops platform and autonomous operations capabilities.
• Manage teams of SREs, AI engineers, platform engineers, and automation engineers.
• Define and govern observability standards, SLIs/SLOs/SLAs and incident management processes.
• Drive cost optimization, capacity forecasting, and proactive anomaly detection.

Skills

AIOps

SRE

Observability

OpenTelemetry

Datadog

Splunk

ServiceNow

AI/ML

GenAI

Agentic AI

Kubernetes

Cloud Platforms

Incident Management

Automation

Platform Engineering

Reliability Engineering

Tools

Datadog

Splunk

OpenTelemetry

Kubernetes

ServiceNow

Job description

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 OpenTelemetry 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
• OpenTelemetry
• Datadog
• Splunk
• ServiceNow
• AI/ML
• GenAI
• Agentic AI
• Kubernetes
• Cloud Platforms
• Incident Management
• Automation
• Platform Engineering
• Reliability Engineering.