The Hartford

Engineering Manager

• Provide technical leadership across all phases of the software development lifecycle—including planning, design, architecture, implementation, testing, deployment, and post-production support—to ensure delivery of high-quality, scalable solutions.
• Shape the future of AI-enabled capabilities across domains such as Billing, Policy, and Integration within Personal Lines.
• Build and lead a high-performing team of software engineers and AI specialists across front-end, back-end, and QA disciplines.
• Drive adherence to SDLC, DevOps, and Agile best practices.
• Ensure application functional and non-functional requirements are met during implementation.
• Champion continuous improvement in system performance, reliability, and user experience.
• Advocate for the use of AI tools such as GitHub Copilot and other emerging technologies.
• Collaborate with business and technology leaders to identify and implement high-impact AI use cases across value streams.
• Ensure timely delivery of high-quality software within scope and budget; manage dependencies across the release train and drive accurate estimates.
• Partner with Product Owners to validate and prioritize actionable requirements.
• Collaborate with RE/Ops to monitor application performance, reliability, and enhancement backlogs.
• Provide clear, concise updates to executive leadership and proactively manage risks and delivery blockers.
• Create alignment across technology, product, and business functions, driving clarity in ambiguous situations.

Director of Software Engineering

Full-stack Engineer

• Build skills needed to participate in the entire software development lifecycle in support of information technology projects
• Provide development support for The Hartford’s critical applications and assets
• Utilize platforms (such Angular, React, Java and .NET) and cloud technologies to develop applications that support organizational goals
• Utilize programming languages and software technology while applying disciplined software engineering practices
• Develop or modify software application modules, using disciplined software engineering practices
• Engage in work that is guided by more senior members of the team
• Participate in immersive instructor-led training and multi-week learning experience to develop functional skills

Associate Software Engineer

• Lead efforts to transform and migrate on-premise platforms to AWS and Big Data technologies
• Design and develop solutions that are scalable, highly available, fault tolerant and easily maintainable
• Design and develop data pipelines: extracting, transforming data, conducting analyses, developing insights, and delivering actionable recommendations to stakeholders
• Design and develop high quality, scalable data assets that support BI tools and advanced analytics
• Prototype high impact innovations by leveraging Cloud and Big Data technologies to meet changing business needs
• Deliver business solutions using technical frameworks, web and database technologies
• Orchestrate, automate, and maintain cloud adoption journey components
• Proactively address technical issues and risks that could impact project schedule or application integrity
• Work closely with stakeholders to design and implement solutions aligned with business needs and architectural vision

Senior Software Engineer

Cloud Engineer

• Lead the engineering and delivery of cloud-native IDP solutions using AWS and third-party platforms.
• Manage a team of engineers and collaborate with data scientists, architects, and business stakeholders to align IDP capabilities with enterprise goals.
• Oversee the development and optimization of automated workflows for document ingestion, classification, extraction, and validation.
• Drive performance tuning, cost optimization, and infrastructure resilience across the IDP platform.
• Implement monitoring, alerting, and fault-tolerant mechanisms to ensure platform reliability.
• Own technical documentation, including architecture diagrams, deployment guides, and operational runbooks.
• Evaluate emerging technologies and contribute to platform roadmap and strategic planning.
• Foster a culture of continuous improvement, innovation, and accountability within the team.
• Operate on a hybrid schedule with expectation to be in-office three days per week (Tuesday through Thursday) at specified locations.

IT Cloud Engineering Manager

Data Engineer

• Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions
• Pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready
• Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices
• Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure
• Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions
• Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar
• Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics
• Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management
• Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies
• Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems
• Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns
• Develop graph database solution for complex data relationships supporting AI systems
• Apply AI solutions to insurance-specific data use cases and challenges
• Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment

Senior Staff AI Data Engineer

Data Scientist

• Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long term opportunities that improve the customer journey
• Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset
• Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners
• Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
• Contribute to successful implementation of strategies to achieve targeted business objectives
• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
• Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
• Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
• Learn/bring best practices to guide the direction of our Data Science and Data Engineering workflows

Senior Data Scientist

Analyst

• Obtain information from the claimant, employer, and medical provider(s) to make Long-Term Disability decisions
• Analyze medical and financial information to determine eligibility for benefits
• Provide exceptional customer service using professional written and verbal communication skills
• Maintain a dedication to meeting the expectations and requirements of internal and external customers
• Help to create a positive team environment that is inclusive to all employees

Senior Long-Term Disability Ability Analyst

Operations

• Join The Hartford as a Business Architect supporting Claims and Operations IT (Digital Enablement shared services)
• Conceptualize and design innovative end-to-end processes and solutions that enable strategic business objectives
• Work closely with business strategy organizations, business operations, technology colleagues, product owners and product managers to evolve Claims and Operations products and solutions
• Lead, build, manage, and enhance business capability models and maturity assessments
• Align strategic objectives with requirements and translate objectives into delivery-focused initiatives
• Partner with business, IT and operations to assess product value, vendor products, dependencies, and prerequisites
• Develop and maintain business architectural direction, roadmaps, process maps and visuals to direct the technology roadmap
• Facilitate capability and feature prioritization through lean business cases, cost/benefit analysis, and option analysis
• Drive feature/capability side of RFIs and RFPs and operate as a bridge between business teams and Architecture team

IT Business Architect – Claims and Operations

Underwriter

• The Wholesale Excess Casualty Division of Navigators, a Brand of The Hartford, is dedicated to providing creative solutions to meet the demands of a dynamic excess market.
• We’re 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 – and to help others accomplish theirs, too.
• Join our team as we help shape the future.
• We’re in the business of helping people achieve amazing things by protecting the things that matter most. And you can help us when you join our team of underwriters.
• They’re at the center of everything we do – and by joining us, you’ll be on a team known throughout the industry for providing our customers with just the right amount of coverage they need to pursue their unique interests.
• Your underwriting career here means collaboration, inclusivity, innovative thinking and so much more.
• Here, doing things the way they’ve always been done isn’t a part of the job.
• Here, you’ll be putting your creative insights to work with other underwriters and leaders, having a seat at the table with key decision makers.
• And you’ll have any number of opportunities for your career to grow in whatever direction you choose.

Underwriting Director

Engineer

• Serve as servant leader and coach for an Agile Release Train (ART) within Claims IT Organization.
• Facilitate program-level agile processes: ART Synch, Release Planning, System Demos, Inspect & Adapt, Scrum of Scrums.
• Establish and communicate PI and Iteration cadence aligned to Business Roadmap.
• Manage and prioritize program backlog; collaborate with Product Managers and leadership to refine backlogs.
• Translate business strategy into technology strategy and enable required capabilities.
• Maintain scorecards and productivity metrics consistent with Agile governance.
• Foster communication and collaboration between teams and stakeholders; manage ART flow and impediments.
• Identify and drive enterprise-level continuous improvement opportunities.
• Facilitate PI Planning readiness and ART Inspect & Adapt sessions; mature Agile practices.
• Execute workforce strategy inclusive of vendors to balance employee/vendor, onshore/offshore ratios.
• Track and communicate ART metrics, manage risks and dependencies, report planning results to senior management.
• Ensure teams on ART adhere to governance models.

Release Train Engineer

• Plan and monitor IT budgets to ensure alignment with strategic initiatives/objectives
• Forecast future budget needs, measure portfolio performance, and coordinate required compliance activities
• Assist with department financial operations, review outlook locks, provide operations planning, monthly reserving, capitalization, financial reporting and support of the CIO
• Oversee vendor management on contracts, purchase orders, MBM and invoice approvals
• Champion the finance evolution to Agile which includes funding value streams, product vs. project mindset and Agile estimation
• Assist in developing and maintaining a workforce strategy, inclusive of vendor partners, such that the ratios of employee/vendor, onshore/offshore, HIG offices, etc. are considered to achieve an optimum balance
• Provides support for data capture, metrics, measurement, ratios, projections around work force. Understanding current and target team compositions, and path forward via hiring and other levers.
• Coordination of required or needed training, continuous learning activities
• Contribute towards the identification and definition of development value streams across the portfolio and alignment to the CIO technology roadmap.
• Contribute to ensuring the phase gate deliverables are complete and establishing the investment prioritization process is transparent and collaborative
• Provide support to establish portfolio flow to visualize and limit Work in Process (WIP), reduce batch sizes of work and control the length of longer-term development queues
• Assist with establishing and maintaining an overall CIO portfolio view
• Provide support to prepare for portfolio health reviews, scorecards, MOR meetings
• Assist with the reporting of key portfolio metrics (e.g., employee engagement, customer satisfaction, productivity, agility, time-to-market, quality, partner health)
• Assist with coordinating a continuous approach to ensure compliance with audit and regulatory requirements and non-discretionary initiatives
• Assists with Rally support and data management

Senior Portfolio Analyst

Site Reliability Engineer

• Operations Focus: Assists with instrumenting code/application technology stack to enable the generation of relevant metrics on overall technology health - availability, performance, quality, currency, and resiliency.
• Contributes to the architecture and software engineering teams to influence the technical strategy for the organization, keeping in mind its cross-functional impacts, integration across the organization, and architecture rationalization.
• DevSecOps Solution Responsibilities: Build the necessary tooling, alerts, and response mechanisms to identify and address reliability risks leveraging automation to support problem prevention, detection, mitigation, and resolution.
• Enhance the delivery flow by building the appropriate solutions to increase delivery speed while adhering to technology standards for sustained reliability.
• Progressively implement preventative controls and build increased automation and self-healing capabilities.
• Continue to improve cost efficiency baselines.
• IT / Data Engineering Responsibilities: Participate in the elimination of toil by creating automation or engineering autonomous solutions requiring minimal manual effort (e.g., covering OS patching to CICD to infrastructure configuration mgmt.)
• Ability to build reliable and performant data systems to support data delivery
• Ability to build scalable SDLC environments using COTS, SaaS, PaaS products to support Data Pipeline needs
• IT Ops Responsibilities: Promote operational excellence. Participate in the triaging and service restoration of all high impact incidents in order to minimize the mean time to service restoration and impact to the business.
• Demonstrate end-to-end ownership.
• Partner with infrastructure Product teams to design and implement intelligent incident routing, enhanced monitoring/alerting capabilities and automated service restoration processes.
• Take proactive measures to prevent high impactful incidents.
• Achieve and maintain the continuity of Hartford and third-party assets that support a business function.
• Accountable for keeping the IT application and infrastructure metadata repositories current.
• Application Focus: Promote the reliability (such as availability, capacity, performance) of the solution. Participate in on-call activities to mitigate incidents as quickly as possible.
• Participate in the development of effective tooling, alerts, and response to both identify and address reliability risks including automatic problem detection and mitigation.
• Build and operate reliable and performant data systems and services that enable the business to make data-driven decisions
• Engage with the service consumers to define functional and non-functional requirements for the solutions.
• Participate with training, best-practices, and sample code to enable consumers to take advantage of the solution to the best degree possible.
• Partner with the RE and Software Engineering teams to collect ongoing feedback and improvement backlog items for the Infrastructure Product teams.
• Leverage analyst reviews, vendor offerings, client success stories to evolve the portfolio.
• Participate in relevant vendor / community / industry conferences.
• Build and maintain Governance policies especially to Data masking (PII management), data lifecycle management needs

Reliability Engineer - Production Support

• Responsibilities: Support The Hartford’s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends. Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry. Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts. Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc. Rapidly prototype with cutting-edge tools, such as VertexAI / Google agent development kit, LangChain / LangGraph , RAG frameworks, HuggingFace , OpenAI APIs, etc. Research and recommend novel foundation model options, tools, and libraries to improve solutions in performance and reliability. Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm -as-a-judge methods. Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment.

GEN AI Sr Data Scientist/Data Scientist

• Provide technical leadership to Scrum Teams, ensuring the integrity of the application architecture.
• Implement the overall technical vision, considering cross-functional impacts and integration across the organization.
• Act as a subject matter expert and advocate for the mobile app and its architecture.
• Oversee the delivery of the mobile app and its backend infrastructure through the software development life cycle.
• Ensure quality assurance metrics are met for application testing.
• Address technical issues and risks proactively.
• Design and document automation solutions in alignment with business needs.
• Mentor and train project team members, enforcing development guidelines and best practices.
• Lead change by influencing and educating Business, IT, and Sourcing partners.
• Identify opportunities to reduce total cost of ownership in operational application support areas.
• Support and consult on disaster recovery and reverse demand planning and testing.