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AVP of Observability Engineering

We'redeterminedto make a difference and are proud to be an insurance company that goes well beyondcoveragesand policies. Working here means having every opportunity to achieve your goals - and to help othersaccomplishtheirs, too. Join our team as we help shape the future.

The Observability Engineering team isseekingan accomplished and visionary AVP of Observability Engineering to lead the design, delivery, and continuous evolution of a cutting-edge,AIpowered observability ecosystem. This leader will ensure security, efficiency, and resiliency acrossThe Hartford'stechnology platforms by driving innovation in monitoring, logging,alerting, and content delivery networkcapabilities.You will own a team of subject matter experts whoare responsible forthe full agile lifecycle of product development, support, and operationalresponsibilitiesofmaintainingkeyinstrumentation platforms, and will partner with our SRE groupto offer the highest levelsofavailability.

In this pivotal role, you will own andoptimizeenterprise observability platforms including Splunk, Dynatrace,Akamai,and related tooling, while embedding Generativeand Agentic AIcapabilities to transform how we detect, diagnose, and resolve issues. Your mandate includes leveraging AI-driven insights for anomaly detection, automated RCA (Root Cause Analysis), and predictive alerting to reduce MTTR and improve reliability.

This is not just about monitoring-it'sabout predictive resilience. By combining industry-leading observability tools withAI, you will redefine how The Hartfordanticipatesand resolves issues, ensuring exceptional customer experience and operational stability.

This role will have aHybrid work schedule,with the expectation of working in an office (NYC, Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week.Candidates mustbe authorized towork in the USwithout companysponsorship.

Key Responsibilities

• Define and execute the observability strategy for The Hartford, ensuring alignment with businessobjectivesand resiliency goals.

• Champion innovation by overlayingAIcapabilities 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).

• EstablishOTel-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 andmonitorgolden 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.

• EmbedAI-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 candeliveron goals andobjectives

Qualifications

• 10 or more years of experience in Infrastructure Engineering, SRE, Cloud Engineering, or Observabilitysystems.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.

• Expertisein 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 communicationand stakeholder management skills.

• Track recordof driving innovation and continuous improvement in observability practices.

• Experience working inbig tech,banking,insuranceor other highly regulated industries strongly preferred