The Hartford · 10 hours ago
Principal Reliability Engineer - EDS
Hartford, CT
Full-time
Hybrid
Senior Level, Lead/Staff
$153K/yr - $229K/yr
10+ years expThe Hartford is an insurance company committed to making a difference, and they are seeking a Principal Reliability Engineer to oversee the reliability and performance of data platforms and cloud infrastructure. This role involves setting the strategic vision for Reliability Engineering and leading initiatives to improve reliability practices and automation across the enterprise data organization.
Auto InsuranceCommercial InsuranceEmployee BenefitsFinanceFinancial ServicesInsuranceLife InsuranceProperty Insurance
No H1B
Responsibilities
Work closely with the AVP, RE & Production Support, EDS defining the Reliability Engineering strategy for data platforms, data cloud environments, and data products
Establish long‑term RE roadmaps, target operating models, and architectural patterns that scale with organizational growth
Serve as the highest‑level technical escalation point for systemic reliability issues, influencing executive stakeholders and engineering leaders
Leverage Enterprise provided standards and building blocks to Architect and evolve highly reliable, performant, and cost‑efficient cloud‑based 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 fail‑safe patterns for Snowflake, EMR, Hadoop/Spark clusters, container platforms (e.g., Kubernetes), and mission‑critical data systems
Lead the creation and enforcement of SLO/SLI frameworks that span the entire data lifecycle
Develop and implement AI‑driven automation for anomaly detection, alert correlation, autonomous remediation, and predictive capacity management
Leverage LLMs, prompt engineering, and cloud‑native AI services (AWS Bedrock, SageMaker, Vertex AI) to build intelligent runbooks, advanced troubleshooting agents, and generative‑AI‑enabled operational tooling
Champion the adoption of machine learning–based observability and reliability analytics
Adopt and architect enterprise‑wide data observability frameworks—including logging, metrics, tracing, distributed profiling, and event pipelines—for all data platforms and pipelines
Establish gold‑standard incident response patterns, post‑incident reviews, and continuous improvement processes
Drive elimination of toil across EDS, focusing on self‑healing systems, proactive detection, and autonomous operations
Define RE best practices for modern data products, governed data pipelines, real‑time/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
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 executive‑level discussions
Qualification
Required
10+ years in one or more of the following areas: data, cloud, platform engineering, site/reliability engineering, or large‑scale 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 cloud‑native data ecosystems
Scripting and programming (preferably Python) for large‑scale automation, platform tooling, and reliability frameworks
Experience with Infrastructure‑as‑Code (Terraform, CloudFormation) and enterprise CI/CD
Preferred
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
Background applying machine learning to operations—anomaly detection, event correlation, predictive modeling, and automated remediation
Understand of AI‑enabled developer/operations tools using LLMs, prompt engineering, or cloud AI services for reliability improvements
Expertise with enterprise observability stacks (Prometheus, Grafana, Datadog, Splunk, Dynatrace, OpenTelemetry)
Ability to design and enforce advanced SLI/SLO frameworks across complex data ecosystems
Demonstrated ability to lead technical strategy at scale, influence senior engineering leaders, and set enterprise‑wide 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
Benefits
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition
Company
The Hartford
The Hartford is an industry leading provider of property and casualty insurance, group benefits and mutual funds.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1995-12-15IPO
Leadership Team
Christopher Swift
Chief Executive Officer
Recent News
2025-12-09
2025-12-08
EIN Presswire
2025-12-02
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