• Desarrollar Plataforma "Simple” para Cliente Gubernamental

• Build, lead, and develop a team of Analytics Engineers • Set clear goals, provide ongoing coaching and feedback • Recruit and retain top-tier analytics engineering talent • Define and own the multi-year roadmap for the Applied Analytics function • Establish the team's technical standards, architectural patterns, and governance frameworks • Drive the adoption of agentic AI workflows • Own the strategic direction for conversational AI capabilities • Guide the team in designing and delivering RAG pipelines • Set the architectural vision for agent design • Champion responsible AI practices • Lead the strategy and governance for AI-driven BI across insurance lines of business • Drive the team's use of dimensional modeling and BI best practices • Lead the delivery of GenAI capabilities supporting regulatory filing automation • Ensure the team embeds domain taxonomies into solution design • Partner closely with Legal and Compliance to meet evolving standards. • Oversee the engineering and maintenance of domain-specific knowledge bases • Lead the team through the full AI solution lifecycle • Establish and enforce GitHub best practices for version control. • Drive standardization of experiment tracking and model registries.

• Handle all construction work assignments for all lines of business including working with large multi-location accounts • Evaluate insured exposures (losses/loss analysis) and controls and provide underwriters and agents with direction to improve account conditions and reduce financial exposure • Work to understand the insured’s business, uncover additional exposures to loss and new service opportunities • Complete detailed service plans; provide consultative recommendations in business letters; provide safety training to address losses • Communicate the status of service plans in the context of what The Hartford has to offer that would affect the insured’s insurance program coverage • Direct and manage the services of multi-location accounts through the development and monitoring of Risk Engineering Service Instructions • Apply analytical and communication skills and the knowledge of construction operations to uncover the business needs of the insured and be able to converse with the insured using a business consultative approach • Make recommendations that will assist the insured’s management to correct and prevent the potential for future financial loss. • Create and deliver presentations to our insured account, agents, and brokers to provide direction for improved operations and reduce potential financial loss.

Role Description Within Reliability Engineering, our goal is to deliver technical solutions to complex production issues by reducing incident and problem toil, improving detection and recovery of critical events through strong observability, and driving continuous operational improvement. This includes advancing Chaos Engineering practices to validate system resilience, and strengthening high-availability and disaster-recovery (HADR) capabilities across the services we support. The following are a High Availability Engineer’s responsibilities for this role but are not limited to: - Design and build solutions to provide capabilities for chaos engineering exercises to expose weaknesses in Nike production systems, uncover any gaps in monitoring and observability, and put in place solutions to lower the effects of any failures on consumers. - Partner with infrastructure and application engineering teams to ensure solutions meet high availability/disaster recovery requirements, including gap identification, assessment, and remediation. - Assess current disaster recovery strategy, impacts, and risks including business, legal, and IT perspectives. - Propose various application design patterns and develop disaster recovery scenarios/resilience requirements. - Act as a subject matter expert to system owners on industry standards and best practices for disaster recovery. - Lead technical recovery efforts in the event of a site outage. Qualifications - Ability to lead assessments of applications and infrastructure components to identify gaps related to high availability/disaster recovery. - 7+ years of software development experience. - 3 - 5 years’ experience in building cloud-based enterprise systems, ideally on AWS. - Proficient in Java 11 and newer. - Proficient with JavaScript on frontend (React, Angular, etc.) and backend (Node.js) components. - Demonstrable knowledge of Linux operating system internals, TCP/IP, filesystems, disk/storage technologies. - Basic understanding of DNS, Networking, Virtualization. - Experience with Docker and/or serverless patterns. - Expertise in designing and building scalable Micro Services. - Expertise in web and web-app patterns. - Expertise in NoSQL datastore systems to build highly scalable solutions. - Experience with expertise in other modern enterprise languages (functional or other – Python, Golang, etc.). - Experience with securing Restful APIs and Apps using OAuth and OpenID Connect and JWT. - Good understanding of async/non-blocking Restful APIs approaches and frameworks. - Experience within messaging (pub-sub) patterns. - Demonstrated negotiation and influencing skills. - Basic understanding of most of the following: ServiceNow, Jira, Jenkins, GitHub, Splunk, Grafana or equivalent Application Performance Monitoring Tool. Requirements - Requires a bachelor’s degree in Computer Science, Engineering, IT or a related field; MBA a plus. - Minimum of 7 years of relevant work experience.