Senior Manager Reliability Engineering & AIOps

The Sr. Manager, Infrastructure Reliability and AIOps Engineering is accountable for improving reliability, observability, and automated recovery across Cloud Infrastructure, Networking, Enterprise Tools, and IAM. This leader builds and operates the Operations and Reliability Engineering function using AIOps practices and is accountable for day‑to‑day operational outcomes, including incident response, escalations, and restoration quality. The role leads Reliability Analysts and partners with domain teams, ITSM/Platform Enablement, and Security to prevent incidents, reduce alert noise, and improve recovery performance.

Scope and Accountability

• Operational ownership of event‑driven incidents, including active participation in incident response, ticket escalation management, and coordination through resolution and restoration.
• AIOps outcomes and governance for platform operations: event ingestion, normalization, correlation, alert quality, intelligent routing, and automated event‑to‑incident workflows.
• Reliability outcomes across Cloud Infrastructure, Networking, Enterprise Tools, and IAM (SLO attainment, improved availability/latency where applicable, MTTD/MTTR reduction, reduced repeat incidents).
• Signal quality management (alert hygiene, deduplication, suppression, threshold tuning, enrichment, and ownership mapping) to improve signal‑to‑noise and reduce operational toil.
• Event correlation standards and service impact intelligence (dependency mapping, CI/service association, and prioritization logic aligned to CMDB/ITSM).
• Automation quality and “production readiness” for self‑healing workflows across all platform domains (validation, rollback, auditability, and measurable success criteria).
• Reliability operating cadence (incident triage standards, major incident support model, post‑incident reviews, problem trend management, and reliability roadmap governance).
• Reliability standards for telemetry, runbooks, monitoring coverage, and operational readiness checks (aligned to ITSM practices and security/compliance needs where applicable).
• Predictive avoidance driven IT Operations.

Key Responsibilities

• Reliability operations leadership. Own the reliability execution model from signal → event → incident → restoration, including active incident engagement, escalation management, and accountability for ticket progression and resolution quality.
• Operate and continuously improve the AIOps layer: event ingestion/normalization, correlation rule design, enrichment, de‑duplication, suppression, and noise reduction.
• Drive measurable improvements in operational performance through alert‑quality KPIs (false positives, duplicates, unassigned events, time‑to‑triage).
• Lead post‑incident reviews with a prevention mindset; convert lessons learned into problem records, reliability backlog items, and automation candidates with clear owners and due dates.
• Establish a consistent “incident learning → reliability backlog → automation delivery” feedback loop with Cloud, Network, Tools, and IAM teams.
• Define reliability measurement across services and platforms: SLIs, SLOs, scorecards, and operational thresholds tied to customer impact and business priorities.
• Ensure telemetry standards are implemented across domains (metrics, logs, traces where applicable) to enable fast correlation, accurate impact analysis, and actionable alerts.
• Mature service health views and early warning signals by improving dependency awareness and context enrichment (service, CI, owner, criticality, user impact).
• Partner with domain SMEs to identify “leading indicators” and implement proactive detection and prevention patterns.
• Build and execute a reliability automation roadmap that reduces manual intervention, accelerates recovery, and improves operational consistency.
• Ensure reliability workflows are validated prior to release, with clear rollback, verification steps, and success metrics (automation success rate, time saved, MTTR impact).
• Lead development of event‑triggered remediation and guardrails that safely automate recurring recovery actions, aligned with ITSM and change controls where required.
• Establish standards for runbooks and automated playbooks so recurring issues have a clear manual path and an automation path.
• Drive resilient operational patterns and standardized health signals for critical services in Cloud Infrastructure.
• Improve detection of degradation, accelerate isolation and restoration, and mature automated health validation, rollback, and recovery routines in Networking.
• Establish monitoring and reliability standards for enterprise platforms in Enterprise Tools.
• Ensure identity lifecycle automation is reliable and observable in IAM.
• Partner with ITSM/Platform Enablement to strengthen event‑to‑incident flows, categorization, routing, major incident engagement, and service mapping alignment.
• Partner with Security and Compliance to ensure reliability supports control execution.
• Establish reliability communication and governance cadence: weekly health review, monthly scorecard, quarterly roadmap outcomes.
• Align domain teams on reliability standards and adoption.

Required Qualifications

• 8+ years in infrastructure operations, SRE, reliability engineering, or platform operations (or equivalent experience).
• 5+ years leading teams in an operations, reliability, or engineering environment.
• Proven track record of designing, architecting and building reliability through AIOps/event correlation, observability, automation, and incident learning.
• Experience building and operating alert/event management practices (signal quality, routing, enrichment, deduplication, suppression, and operational tuning).
• Working knowledge across cloud infrastructure concepts, enterprise networking fundamentals, enterprise tool operations, and IAM lifecycle concepts.
• Strong incident command and stakeholder communication skills, including executive‑ready reporting and post‑incident facilitation.

Preferred Qualifications

• Experience implementing practical SLOs/SLIs, error budgets (where appropriate), and operational scorecards tied to business impact.
• Experience with AIOps platforms and event‑to‑ITSM integration patterns (event ingestion, correlation, automated ticketing, and routing).
• Leadership in scripting/automation (PowerShell, Python, Ansible, Terraform, or similar) and operationalizing safe automation at scale.
• Familiarity with service mapping, CMDB dependency modeling, and operational governance practices.
• Experience establishing reliability standards across multiple infrastructure domains and driving adoption through governance and coaching.

Equal Opportunity Employment

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.