Senior AIOps and Incident Management / Site Reliability Engineering C2C jobs

Job title: Senior AIOps and Incident Management / Site Reliability Engineering

Location: Hybrid Onsite (Fort Mill, SC, Austin TX, Boston, MA, New York, NY, Tempe, AZ, San Diego, CA)

Duration: Contract

Job Description:

We are seeking a Senior AIOps Incident Manager & Site Reliability Engineer to lead incident management, operational resilience, and intelligent automation initiatives across enterprise environments. This role will partner with Network Operations Center (NOC), Infrastructure Operations, Cloud Engineering, DevOps, and Application Support teams to proactively detect, respond to, and prevent technology incidents. The ideal candidate combines hands on incident management expertise with experience implementing observability, automation, and AI-driven solutions to improve system reliability, reduce operational overhead and enhance customer experience. The candidate should Possess expertise in AIOps, ITSM, ITIL, SRE, Incident Management, Cloud Operations, and Enterprise Infrastructure.

Incident & Recovery Management

Monitor, document, and analyze major incident response efforts and service recovery activities.
Serve as a senior escalation point for Tier 1 and Tier 2 operational incidents.
Conduct incident reviews, root cause analysis, and corrective action planning.
Improve Mean Tme to Detect (MTTD) and Mean Time to Resolve (MTTR).
 

Site Reliability Engineering

Implement SRE practices to improve platform reliability, scalability, and resiliency.
Define and monitor SLAS, SLOS, and operational KPIs.
Develop proactive reliability and availability strategies.
 
AIOps & Automation

Implement AIOps solutions to automate incident detection, remediation, and prevention.
Build and optimize AI-powered Operational agents and self-healing workflows.
Reduce operational effort through intelligent automation.
 

Observability & Monitoring

Lead enterprise monitoring initiative using Dynatrace and related observability platforms.
Improve visibility across cloud, infrastructure, applications, and user experiences.
Enable predictive monitoring and anomaly detection.
 

ITSM & Service Operations

Develop and enhance incident, problem, change, and event management frameworks aligned with ITIL and ITSM best practices.
Leverage ServiceNow workflow automation to improve service delivery.
 

Cross-Functional Leadership

Partner with Infrastructure, DevOps, Cloud, Security, Application Development, and NOC teams.
Mentor operational teams and promote an automation-first culture.
 

Qualifications

Bachelor’s degree in Computer Science, Information Engineering, or related field (or equivalent experience).
8+ years Of experience in IT Operations, Site Reliability Engineering, Infrastructure Operations, Network Operations, or Production Support environments.
5+ years of experience leading incident management, transformation, or reliability engineering
Strong experience with:
 

Site Reliability Engineering (SRE)
IT Service Management (ITSM)
ITIL Framework
Incident, Problem, Change, and Event Management
Network Operations Center (NOC)
Infrastructure Operations
Service Desk
Application Support
Cloud Platforms (AWS Azure, or GCP)
DevOps Practices and Toolchains
Hands on experience with Dynatrace, monitoring platforms, and observability solutions.
Experience using ServiceNow for ticketing, workflow automation, and service management.
Strong understanding Of infrastructure, networking, cloud architecture, and enterprise application ecosystems
Proven experience conducting root cause analysis and implementing preventive controls.
Experience leading enterprise AIOps implementations.
Experience building AI-Powered operational agents and intelligent automation solutions.
Certifications such as:
o ITIL Foundation or ITIL Managing Professional

o Certified Site Reliability Enginær (SRE)

o AWS Azure, or Cloud certifications

o ServiceNow certifications

Experience with workflow orchestration and enterprise automation platforms.
Familiarity with predictive analytics, machine learning operations, and autonomous operations frameworks.