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Staff Infrastructure Engineer - IEB07CE 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. The Staff Infrastructure Engineer is responsible for leveraging agentic AI to quickly identify, assess, and resolve critical service issues and major incidents, ensuring swift detection and response. The successful candidate will demonstrate engineering-level technical depth in AI, cloud computing concepts, and infrastructure platforms, partnering with cross-functional teams for service restoration and continuously improving the event management process. This position is critical in enhancing enterprise resilience and implementing proactive AI-driven operations within the Technology Command Center. This role will have a Hybrid work schedule, with the expectation of working in an office (Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities Manage technical and executive communication for major incidents. Perform alert triage, correlation, and initial impact assessment to separate actionable events from non-actionable noise. Support major incident detection and escalation by validating symptoms, confirming affected services, and engaging resolver teams. Use standard operating procedures, runbooks, and decision frameworks to investigate, prioritize, and escalate events. Maintain situational awareness during active events; document event patterns and operational observations. Promote events to incidents when thresholds are met; partner with internal and external teams during restoration activities. Identify opportunities to improve monitoring effectiveness, event quality, automation, and operational readiness. Partnership & Work Expectations Collaborate with infrastructure, application, reliability engineering, service desk, and vendor teams to ensure effective event response and service restoration. Support continuous improvement by identifying recurring alert issues, documenting operational insights, and recommending enhancements to monitoring, runbooks, and automation. Schedule & Role Expectations May require shift coverage, off-hours support, and escalation activities aligned to a 24x7 operational model and follow-the-sun support structure. Required Qualifications 8+ years' experience in monitoring and observability tools such as Splunk, Dynatrace, ITSI, Moogsoft, ThousandEyes, or similar. Experience in AI-driven data analysis and problem solving. AI tool proficiency including prompt engineering and Interrogation skills Familiarity with ITSM and ticketing platforms, including incident creation, categorization, escalation, and documentation. Understanding of event correlation, alert prioritization, service impact analysis, and basic automation/workflow enablement. Strong analytical thinking and operational judgment. Ability to work under pressure during high-impact events. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. 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 Hartford’s 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: $116,800 - $175,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Infrastructure Engineer - IEB07CE 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. The Staff Infrastructure Engineer is responsible for leveraging agentic AI to quickly identify, assess, and resolve critical service issues and major incidents, ensuring swift detection and response. The successful candidate will demonstrate engineering-level technical depth in AI, cloud computing concepts, and infrastructure platforms, partnering with cross-functional teams for service restoration and continuously improving the event management process. This position is critical in enhancing enterprise resilience and implementing proactive AI-driven operations within the Technology Command Center. This role will have a Hybrid work schedule, with the expectation of working in an office (Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities Manage technical and executive communication for major incidents. Perform alert triage, correlation, and initial impact assessment to separate actionable events from non-actionable noise. Support major incident detection and escalation by validating symptoms, confirming affected services, and engaging resolver teams. Use standard operating procedures, runbooks, and decision frameworks to investigate, prioritize, and escalate events. Maintain situational awareness during active events; document event patterns and operational observations. Promote events to incidents when thresholds are met; partner with internal and external teams during restoration activities. Identify opportunities to improve monitoring effectiveness, event quality, automation, and operational readiness. Partnership & Work Expectations Collaborate with infrastructure, application, reliability engineering, service desk, and vendor teams to ensure effective event response and service restoration. Support continuous improvement by identifying recurring alert issues, documenting operational insights, and recommending enhancements to monitoring, runbooks, and automation. Schedule & Role Expectations May require shift coverage, off-hours support, and escalation activities aligned to a 24x7 operational model and follow-the-sun support structure. Required Qualifications 8+ years' experience in monitoring and observability tools such as Splunk, Dynatrace, ITSI, Moogsoft, ThousandEyes, or similar. Experience in AI-driven data analysis and problem solving. AI tool proficiency including prompt engineering and Interrogation skills Familiarity with ITSM and ticketing platforms, including incident creation, categorization, escalation, and documentation. Understanding of event correlation, alert prioritization, service impact analysis, and basic automation/workflow enablement. Strong analytical thinking and operational judgment. Ability to work under pressure during high-impact events. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. 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 Hartford’s 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: $116,800 - $175,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Staff Infrastructure Engineer - IEB07CE 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. The Staff Infrastructure Engineer is responsible for leveraging agentic AI to quickly identify, assess, and resolve critical service issues and major incidents, ensuring swift detection and response. The successful candidate will demonstrate engineering-level technical depth in AI, cloud computing concepts, and infrastructure platforms, partnering with cross-functional teams for service restoration and continuously improving the event management process. This position is critical in enhancing enterprise resilience and implementing proactive AI-driven operations within the Technology Command Center. This role will have a Hybrid work schedule, with the expectation of working in an office (Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities Manage technical and executive communication for major incidents. Perform alert triage, correlation, and initial impact assessment to separate actionable events from non-actionable noise. Support major incident detection and escalation by validating symptoms, confirming affected services, and engaging resolver teams. Use standard operating procedures, runbooks, and decision frameworks to investigate, prioritize, and escalate events. Maintain situational awareness during active events; document event patterns and operational observations. Promote events to incidents when thresholds are met; partner with internal and external teams during restoration activities. Identify opportunities to improve monitoring effectiveness, event quality, automation, and operational readiness. Partnership & Work Expectations Collaborate with infrastructure, application, reliability engineering, service desk, and vendor teams to ensure effective event response and service restoration. Support continuous improvement by identifying recurring alert issues, documenting operational insights, and recommending enhancements to monitoring, runbooks, and automation. Schedule & Role Expectations May require shift coverage, off-hours support, and escalation activities aligned to a 24x7 operational model and follow-the-sun support structure. Required Qualifications 8+ years' experience in monitoring and observability tools such as Splunk, Dynatrace, ITSI, Moogsoft, ThousandEyes, or similar. Experience in AI-driven data analysis and problem solving. AI tool proficiency including prompt engineering and Interrogation skills Familiarity with ITSM and ticketing platforms, including incident creation, categorization, escalation, and documentation. Understanding of event correlation, alert prioritization, service impact analysis, and basic automation/workflow enablement. Strong analytical thinking and operational judgment. Ability to work under pressure during high-impact events. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. 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 Hartford’s 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: $116,800 - $175,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

IPB07BE - Senior Staff Platform Engineer - IPB07BE 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. The Hartford’s Data Analytics and AI Office (DAIO) – and Data Platform Services (DPS) Team is seeking a Senior Staff Platform Engineer. The Hartford’s journey to Cloud is a period of immense change – it is a critical part of this role to foster a customer first mindset and focus on work that meets the most needs of Data and Analytics users across The Hartford. You should be passionate for innovating with new cloud and data platform technologies, designing physical architectures and engineering platform solutions with an emphasis on improving adoption and user experience. This position requires 6+ years of relevant industry, cloud and/or platform experience. Responsibilities: Strategic Collaboration As a technical leader you will need to analyze industry trends focused on cloud computing and data platform technologies. You will be part of a team of architects working across organizational boundaries advancing DAO technical capabilities. Translate these trends into actionable capabilities. Current and Target State Architectures: Design and Engineer target state platform architectures with reusability in mind. Define strategy and roadmaps to guide transformation efforts. Create architecture patterns for Cloud Data ecosystems (including AWS Cloud, PySpark, Snowflake, Tableau and ThoughtSpot). Customer Collaboration Collaborate with internal customers to evaluate needs and provide architectural guidance in utilizing the right products & services for solutions in support of batch/streaming, real-time, near real-time integration/ELT, structuring data for analytic consumption, cloud migrations, and supporting AI. Build relationships with internal customers proactively identifying platform and technical needs supporting a business roadmap. New Technology evaluations and POCs Driving product evaluations, defining scoring criteria, and providing technical recommendations. This will be a HANDS-ON role building IaC and Cloud platforms to support POCs of new technologies. Hyper-Automation Incorporation of DevOps and DataOps practices into suggested solutions to drive increased automation. Driving Adoption Driving technical road shows to improve adoption of services. Qualifications Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field, or equivalent experience At least 6 or more years of solid, diverse work experience in cloud computing, data delivery applications, analytics or an equivalent combination of education and work experience At least 3 years of experience providing architectural guidance and technical direction to developers, or platform administrators. At least 2 years of experience (or equivalent training/certification) in designing and implementing solutions in AWS and GCP Services. Ability to learn new technologies quickly, and perform major job responsibilities proficiently within 6-12 months Experience in building applications/platforms using agile scrum methodologies Strong analytical ability, problem analysis techniques, and broad knowledge of technology alternatives Strong communication skills, and the ability to work effectively with business and IT partners Preferred Experience (or equivalent training/certification) in designing and/or implementing data delivery solutions using Data Integration Tools (Informatica, Talend etc.) and/or Data Platforms (Oracle, Snowflake, S3, RDS etc.) or Data Management (Cataloging, Lineage, Quality, MDM etc.) Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. 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 Hartford’s 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: $137,200 - $205,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Student Intern - HHSIAN 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. Tech & Data Program Summer 2027 – Software Engineer Intern Program Overview At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees through continuous learning, mentorship, meaningful work, and opportunities to solve real business challenges. As a Software Engineer Intern , you will help design, build, test, and enhance applications that support our customers, employees, and business operations. You'll work alongside experienced engineers in a collaborative Agile environment, applying modern software development practices to create solutions that deliver measurable business value. Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here. About the Experience The Hartford’s Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore careers in software engineering, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry. As part of The Hartford’s growing investment in AI and advanced technologies, interns will gain exposure to emerging capabilities such as generative AI, machine learning, and intelligent automation while contributing to meaningful projects that support business and customer outcomes. This internship provides hands-on experience developing software solutions, collaborating with Agile teams, and learning how technology drives innovation across the enterprise. This role is a hybrid position in Hartford, CT. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. What You'll Gain Hands-on experience developing software applications and services that support business and customer needs Exposure to modern software engineering practices, including Agile delivery, DevOps, cloud technologies, and application development frameworks Opportunities to work with programming languages, development tools, and cloud platforms used across the enterprise Mentorship, coaching, performance feedback, and self-directed learning opportunities Networking, volunteerism, and employee engagement experiences with peers and leaders across the organization A deeper understanding of how technology enables innovation, efficiency, and customer experiences within the insurance industry Ways You'll Learn, Grow, and Contribute Depending on your role and project assignments, your experience may include: Design, develop, test, and maintain software applications and services that support business and customer needs. Collaborate with engineers, product owners, and business stakeholders in an Agile environment to deliver technology solutions. Participate in the full software development lifecycle, including coding, debugging, testing, deployment, documentation, and code reviews. Leverage modern programming languages, development frameworks, databases, and cloud technologies to build scalable and reliable solutions. Use AI-powered development tools and explore emerging technologies to enhance productivity, improve software quality, and support innovation. Apply technical and analytical problem-solving skills to improve application performance, security, and customer experiences, and present outcomes to stakeholders. Required Qualifications Undergraduate or graduate student expecting to graduate in May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher Pursuing a degree in Computer Science, Software Engineering, Information Technology, Cybersecurity, Engineering, or another STEM-related field Strong analytical, problem-solving, and critical-thinking skills Strong communication, collaboration, and interpersonal skills Curiosity and willingness to learn new technologies and challenge assumptions Ability to analyze complex problems and develop practical technical solutions Commitment to ethical decision-making and responsible technology practices Experience and exposure to some or all of the following: Programming Languages: Java, Python, C#, JavaScript, SQL, .NET Web Development: HTML, CSS, React, Angular, APIs, or modern web application frameworks Cloud Technologies: AWS, Azure, or Google Cloud Platform Software Engineering Practices: Object-oriented programming, testing frameworks, source control, CI/CD, or DevOps concepts Cybersecurity: Secure coding practices, cyber defense concepts, or security frameworks AI & Emerging Technologies: Familiarity with AI/ML concepts, generative AI tools, or interest in applying emerging technologies to business challenges Agile Ways of Working: Experience working on Agile teams, collaborative projects, or product-focused development efforts Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford’s Technology & Data organization. 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 Hartford’s 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: - Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Sr Staff Data Engineer - GE07DE Staff Data Engineer - GE07CE 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. As a Senior Staff Data Engineer supporting Employee Benefits Sales, you will play a key role in shaping how Sales and Underwriting data is ingested, transformed, and delivered across the organization. You’ll work on modern, cloud‑based data platforms to ensure high‑quality, governed data products that drive operational efficiency, analytics, and decision‑making. This role combines deep technical expertise with strong partnership across Underwriting, Product and Enterprise Data teams. The position offers a strong growth path toward Technical Leadership, with hands-on ownership of Quote and Underwriting data pipelines and opportunities to mentor and influence across teams. This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: Accountable for building small or medium-scale pipelines and data products. End-to-End solution delivery involving multiple platforms and technologies with small to medium complexity or certain sub-systems of large, complex implementations, leveraging ELT solutions to acquire, integrate, and operationalize data Provides significant input to influence solution architecture Build and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices. Accountable for team development and influencing pipeline tool decisions Accountable for data engineering practices (e.g. Source code management, branching, issue tracking, access, etc.) to be followed for the data pipeline Independently review, prepare, design and integrate complex (type, quality, volume) data, correcting problems and recommend data cleansing/quality solutions Provide expert documentation and operating guidance for users of all levels. Document technical requirements and present complex technical concepts to audiences of varying sizes and levels. Rapidly architect, design, prototype/POC, implement, and optimize Cloud/Hybrid architectures Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake) with cloud/on premise hybrid hosting solutions, on a project level Implement, and test data processing pipelines, and data mining/data science algorithms on a variety of hosted settings (AWS,Client technology stacks) Stay up to date on emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate and recommend all technology-based decisions for tools and frameworks for effective delivery Support the development and implementation of project and portfolio strategy, roadmaps and implementation Qualifications: Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. 8+ years of data engineering experience and best practices in Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Bigdata, Cloud Technologies (AWS/AZURE), Python/Spark, Data mesh and Data Lake, Data Fabric Must have hands on experience in Snowflake, Oracle, Informatica Cloud/Power center, Github Must have hands-on experience and knowledge on replication tools like Qlik, Informatica mass ingestion, Shareplex, open flow, DMS Must be familiar with ETL using Pyspark/Python/snowflake native features Must be familiar with AWS services such as EMR, S3, Lambda Certifications on Cloud services such as AWS/GCP and Snowflake Familiar with AI tools/tech stack Nice to have qualifications: Certifications on AI foundation Hands-on experience with AWS Bedrock and Google Vertex 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 Hartford’s 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: $135,040 - $202,560 The posted salary range reflects our ability to hire at different position titles and levels depending on background and experience. Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

Student Intern - HHSIAN 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. Tech & Data Program Summer 2027 – Data Engineer Intern Program Overview At The Hartford, we foster an inclusive and collaborative environment where every voice is valued and every idea can make an impact. Our culture is built on integrity, innovation, and a customer-first mindset. We believe in empowering employees to grow through continuous learning, mentorship, meaningful work, and opportunities to contribute to solutions that support our customers and business. As a Data Engineer Intern , you will help build and support the data pipelines, platforms, and processes that enable analytics, reporting, automation, and AI-driven insights across the organization. This role is ideal for students who are interested in building the systems behind the data — transforming raw information into reliable, usable data assets that help teams make better decisions. Bring your curiosity, technical mindset, and willingness to learn. Your voice and perspective matter here. About the Experience The Hartford’s Technology, Data, AI, and Operations organization offers an immersive summer internship program designed to help students explore career paths in technology, data engineering, cybersecurity, AI, analytics, data science, and technology operations within the insurance industry. As part of The Hartford’s growing investment in AI and advanced analytics, interns will explore how emerging technologies — including generative AI, machine learning, and automation — are transforming business operations, decision-making, and customer experience. In this role, you will gain hands-on experience supporting data solutions that help power business insights, analytics products, and future AI capabilities. This role is a hybrid position in Hartford, CT. or in the future. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. What You'll Gain Hands-on experience designing, building, and supporting data pipelines and data workflows Exposure to modern data engineering practices , including ETL/ELT, data transformation, data quality, and cloud-based data platforms Opportunities to work with tools and technologies such as Python, SQL, PL/SQL, Snowflake, GitHub, and cloud platforms Exposure to how data engineering enables analytics, reporting, automation, machine learning, and AI use cases Mentorship, coaching, feedback, and self-directed learning opportunities Networking, volunteerism, and employee engagement experiences with peers and leaders across the organization A stronger understanding of how data supports decision-making within the insurance industry Ways You'll Learn, Grow, and Contribute Depending on your role and project assignments, your experience may include: Build and support data pipelines that ingest, transform, and prepare data for business and analytical use Work with structured and unstructured data to enable analytics, reporting, and AI-driven solutions Apply data engineering tools and techniques (e.g., Python, SQL, ETL processes, cloud technologies ) to develop reliable data assets Ensure data quality, consistency, and performance through profiling, validation, and monitoring activities Collaborate with cross-functional teams to deliver scalable data solutions that address business needs Leverage AI tools (e.g., Copilot) to enhance productivity and support the development of data solutions that power advanced analytics and machine learning Required Qualifications Undergraduate or graduate student expecting to graduate i n May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher. Pursuing a degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field Strong analytical, problem-solving, and critical thinking skills Strong communication, collaboration, and interpersonal skills Curiosity and willingness to explore new technologies and challenge assumptions Demonstrated ability to analyze complex problems using structured thinking and logical reasoning Commitment to ethical judgment, responsible data use, and understanding how technology decisions affect stakeholders and the business Experience and exposure to some or all of the following: Programming & Querying: Python, SQL, PL/SQL Data Engineering: ETL/ELT, data pipelines, data transformation, data profiling, data quality, data modeling Data Platforms & Tools: Snowflake, GitHub, relational databases, data warehouse concepts Cloud Technologies: AWS, Azure, or Google Cloud Analytics & BI: Tableau, dashboards, reporting, data mining, or business intelligence tools AI & Emerging Technology: Familiarity with AI/ML concepts, generative AI tools, LLMs, NLP, or interest in building data foundations that support AI-driven solutions Agile Ways of Working: Exposure to Agile teams, sprint delivery, or collaborative product-based work. Our internship program is designed as a pipeline for future full-time opportunities. High-performing interns may be considered for full-time roles within The Hartford’s Technology & Data organization. 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 Hartford’s 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: - Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

IND Evergreen Requisition - GCC141 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. Guidewire PolicyCenter Developer (3-12 Years Experience) Role Summary Design, develop, and support Guidewire PolicyCenter solutions for P&C Insurance, delivering high-quality configurations, integrations, and enhancements Key Responsibilities Develop and configure PolicyCenter components including Gosu, PCFs, Rules, Data Model, Product Model, and Workflows. Build and support integrations using REST/SOAP APIs, Messaging, and Integration Framework. Collaborate with business, architecture, QA, and product teams to deliver solutions. Participate in solution design, code reviews, testing, and production support. Troubleshoot application and performance issues. Support Guidewire upgrades, cloud migrations, and modernization initiatives. Mentor junior team members and promote engineering best practices. Leverage AI tools for faster development cycle Required Skills 3-12 years of Guidewire PolicyCenter development experience. Strong knowledge of GOSU, PCFs, Rules, Data Model, Product Model, and Workflows. Experience with REST/SOAP APIs, XML, JSON, Messaging, and integrations. Knowledge of SQL, debugging, and performance tuning. Good understanding of the P&C Insurance Policy Lifecycle. Familiarity with Agile and DevOps practices. Preferred Skills Guidewire Certification (Associate/ACE). Experience with Guidewire Cloud Platform. Exposure to ClaimCenter, APD, Jutro, and InsuranceSuite ecosystem. Experience with Git, Jenkins, Azure DevOps, Datadog and CI/CD pipelines. Knowledge of cloud migration and insurance modernization programs. Experience Expectations 3-5 Years: Develop configurations, integrations, and support releases independently. 6-8 Years: Lead complex development efforts, design solutions, and mentor junior developers. 9-12 Years: Drive technical leadership, architecture alignment, cloud adoption, and strategic transformation initiatives. About Us | Our Culture | What It’s Like to Work Here