Principal Reliability Engineer - EDS

Principal Reliability Engineering - IE06JE Weu2019re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals u2013 and to help others accomplish theirs, too. Join our team as we help shape the future. The Enterprise Data Services (EDS) organization is seeking a Principal Reliability Engineer (Principal RE) to serve as the senior technical authority responsible for the reliability, resilience, availability, and performance of all data platforms, cloud infrastructure, data products, and data pipelines across the enterprise data organization. This role sets the strategic vision for Reliability Engineering within EDS and leads the definition, implementation, and continuous evolution of RE practices, tooling, automation, observability frameworks, and AIOps/AIu2011driven operations. As the Principal RE, you will influence architectural direction, lead largeu2011scale, crossu2011organizational technical initiatives, and drive a culture of engineering excellence, automationu2011first operations, and proactive reliability improvement. You will partner closely with platform engineering, data engineering, security, architecture, and product teams to embed RE principles into every stage of the data product lifecycle. This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. _Must be eligible to work in the US without company sponsorship._ u200b Key Responsibilities Enterprise Reliability Strategy & Leadership + Work closely with the AVP, RE & Production Support, EDS defining the Reliability Engineering strategy for data platforms, data cloud environments, and data products. + Establish longu2011term RE roadmaps, target operating models, and architectural patterns that scale with organizational growth. + Serve as the highestu2011level technical escalation point for systemic reliability issues, influencing executive stakeholders and engineering leaders. Platform & Cloud Reliability (AWS, GCP, Snowflake, EMR, Hadoop, ETL/ELT) + Leverage Enterprise provided standards and building blocks to Architect and evolve highly reliable, performant, and costu2011efficient cloudu2011based platforms across AWS and GCP for all EDS services. + Influence and work directly with Platform Solution Architecture on new product enablement, hyper automation (end to end blueprint automation). + Oversee reliability controls and failu2011safe patterns for Snowflake, EMR, Hadoop/Spark clusters, container platforms (e.g., Kubernetes), and missionu2011critical data systems. + Lead the creation and enforcement of SLO/SLI frameworks that span the entire data lifecycle. AIu2011Enabled Operations, AIOps & Intelligent Automation + Develop and implement AIu2011driven automation for anomaly detection, alert correlation, autonomous remediation, and predictive capacity management. + Leverage LLMs, prompt engineering, and cloudu2011native AI services (AWS Bedrock, SageMaker, Vertex AI) to build intelligent runbooks, advanced troubleshooting agents, and generativeu2011AIu2011enabled operational tooling. + Champion the adoption of machine learningu2013based observability and reliability analytics. Endu2011tou2011End Observability & Operational Excellence + Adopt and architect enterpriseu2011wide data observability frameworksu2014including logging, metrics, tracing, distributed profiling, and event pipelinesu2014for all data platforms and pipelines. + Establish goldu2011standard incident response patterns, postu2011incident reviews, and continuous improvement processes. + Drive elimination of toil across EDS, focusing on selfu2011healing systems, proactive detection, and autonomous operations. Data Pipeline & Data Product Reliability + Define RE best practices for modern data products, governed data pipelines, realu2011time/streaming systems, and operational analytics platforms. + Ensure data quality, data timeliness, and SLAs for data products through automated checks, lineage-informed alerting, and pipeline reliability tooling. + Partner with Data Engineering to embed resilience patterns (idempotency, checkpointing, replayability, disaster recovery) into pipeline architectures. Engineering Standards, Governance & Crossu2011Org Influence + Set and enforce standards for IaC, CI/CD, platform automation, reliability frameworks, operational readiness, and runbook quality across EDS. + Provide technical leadership and mentorship to Staff/Senior Engineers in the RE team and Production Support teams, influencing engineering culture and helping grow RE capabilities across the organization. + Represent Reliability Engineering in architectural reviews, enterprise governance forums, and executiveu2011level discussions. Technical Experience + 10+ years in one or more of the following areas: data, cloud, platform engineering, site/reliability engineering, or largeu2011scale distributed systems, with experience in leadership or technology leader roles. + Proficiency with data or cloud platforms, including architectural patterns for resilience, networking, security, and distributed data infrastructure. + Deep experience supporting or engineering platforms such as Snowflake, EMR, Hadoop/Spark, Data Integration , and cloudu2011native data ecosystems. + Scripting and programming (preferably Python ) for largeu2011scale automation, platform tooling, and reliability frameworks. + Experience with Infrastructureu2011asu2011Code (Terraform, CloudFormation) and enterprise CI/CD. Preferred Qualifications + Experience in regulated or highly complex enterprise environments (financial services, insurance, healthcare). + Prior experience as a Senior Staff Engineer, Engineering or Architecture leader with hands on experience, or similar senior technical role. + Knowledge of data governance, metadata, lineage systems, and data quality engineering practices. + Certifications in AWS, GCP, Kubernetes, or SRE/DevOps frameworks. AI & AIOps + Background applying machine learning to operationsu2014anomaly detection, event correlation, predictive modeling, and automated remediation. + Understand of AIu2011enabled developer/operations tools using LLMs, prompt engineering, or cloud AI services for reliability improvements. Observability & Platform Operations + Expertise with enterprise observability stacks (Prometheus, Grafana, Datadog, Splunk, Dynatrace, OpenTelemetry). + Ability to design and enforce advanced SLI/SLO frameworks across complex data ecosystems. Leadership & Crossu2011Functional Influence + Demonstrated ability to lead technical strategy at scale, influence senior engineering leaders, and set enterpriseu2011wide standards. + Strong capability in mentoring engineers, providing architectural guidance, and fostering engineering excellence. + Exceptional communication skills for interacting with executives, senior architects, product leaders, and engineering teams. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartfordu2019s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $152,800 - $229,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Created: 2026-02-02