AVP, Observability Engineering

The Hartford

Lead design and delivery of AI powered observability ecosystem at The Hartford. Ensuring security, efficiency, and resiliency across technology platforms by driving innovation.

Posted 5/22/2026full-timeNew York City • Connecticut, Illinois, New York, North Carolina, Ohio • 🇺🇸 United StatesLead💰 $224,800 - $337,200 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesSplunk

About the role

Key responsibilities & impact

Define and execute the observability strategy for The Hartford, ensuring alignment with business objectives and resiliency goals.
Champion innovation by overlaying AI capabilities into observability workflows—enabling intelligent alert correlation, automated incident summaries, and proactive risk mitigation.
Oversee enterprise observability platforms including Splunk (logging, dashboards, compliance) and Dynatrace (APM, infrastructure monitoring).
Establish OTel-first instrumentation standards (traces, metrics, logs), semantic conventions, sampling strategies, and correlation patterns (span-to-log, service-to-customer journey).
Drive integration with cloud-native services (AWS, GCP, Azure) and containerized environments (Kubernetes, Docker).
Establish and monitor golden signals, error budgets, and SLOs to ensure top-quartile reliability.
Implement AI-powered anomaly detection and predictive analytics to reduce alert noise and improve incident response.
Embed AI-driven automation for: Intelligent log summarization and RCA.
Automated dashboard generation and KPI insights.
Conversational interfaces for observability queries using LLMs.
Define KPIs for observability maturity (e.g., % of apps logging to Splunk, alert coverage, MTTR).
Ensure compliance with Hartford’s logging and monitoring standards across applications and infrastructure.
Partner with SRE, Platform Engineering, and Security teams to deliver secure, scalable, and resilient observability solutions.
Engage with senior leadership to communicate progress, risks, and innovation opportunities.
Lead and develop a high-performing team that can deliver on goals and objectives.

Requirements

What you’ll need

10 or more years of experience in Infrastructure Engineering, SRE, Cloud Engineering, or Observability systems
Bachelor’s or advanced degree in Computer Science, Engineering, or related field
Proven leadership in observability or reliability engineering roles, with hands-on experience in Splunk, Dynatrace, Akamai, and cloud-native monitoring
Expertise in SRE principles, proactive monitoring, and performance optimization
Familiarity with GenAI technologies and their application in IT operations (e.g., anomaly detection, automated RCA, AI-driven dashboards)
Strong communication and stakeholder management skills
Track record of driving innovation and continuous improvement in observability practices
Experience working in big tech, banking, insurance or other highly regulated industries strongly preferred.

Benefits

Comp & perks

Other rewards may include short-term or annual bonuses
long-term incentives
on-the-spot recognition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

observability strategyAI capabilitiesalert correlationautomated incident summariesOTel instrumentation standardsanomaly detectionpredictive analyticsKPI insightsSRE principlesperformance optimization

Soft Skills

leadershipcommunicationstakeholder managementinnovationcontinuous improvementteam developmentrisk managementcollaboration