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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

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

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

Senior Security Engineer - IS07FE 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 Enterprise Cyber Focal Office – Sr. Security Engineer is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead. This role is responsible for designing, developing, and implementing complex, AI ‑ driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience. Operating at a technical lead/manager (T7) level, this role combines deep engineering expertise , cloud-native architecture , and applied AI with strong leadership and influence across Cyber, Reliability Engineering, Infrastructure Engineering and Software Engineering teams. The role also provides technical leadership and direction to offshore teams and drives adoption of secure-by-design engineering practices across the enterprise. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Technical Leadership & Solution Delivery Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high ‑ impact technical solutions. Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation. Lead end-to-end solution architecture , including design reviews, implementation, and operational readiness for cyber platforms and tooling. Apply full ‑ stack application development expertise to build secure, resilient, and performant cyber applications and services. Cloud & AI Engineering Architect and deliver solutions using AWS cloud services , following cloud-native, well ‑ architected, and security principles. Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support). Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready. Application Security Demonstrated hands ‑ on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale. Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise ‑ wide. Experienced in Leveraging GitHub Copilot as a hands ‑ on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards. Application Vulnerability Management Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows. Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques. Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines. Engineering Partnership & Best Practices Act as a trusted partner to Security, Platform, Reliability and Software Engineers , enabling secure, reliable, and resilient application delivery. Define, promote, and enforce application security best practices , including secure coding, dependency management, secrets handling, logging, and monitoring. Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate. Team Leadership & Delivery Excellence Provide technical leadership to an offshore engineering team , including design guidance, code reviews, mentoring, and delivery oversight. Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards. Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities. Required Experience & Qualifications 6+ years of experience in cyber-focused application development (security engineering), with time in technical leadership roles. Strong security application development experience (frontend, backend, APIs, integrations). This includes proficiency in modern frameworks and languages such as Angular, React, or Vue.js with strict Content Security Policy (CSP) and XSS prevention. Node.js or NestJS using security modules like Helmet, Jose, and express-validator. Proven experience designing and delivering enterprise-scale cyber, security or application platforms . Experience leading and mentoring distributed/offshore technical teams , using Splunk, Dynatrace, Akamai or other events and logs. Ability to operate as a trusted partner and influencer across Cyber, Engineering, and Infrastructure organizations. Experience across logging and monitoring, edge and application security, AI ‑ assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms , ensuring scalable, secure, and repeatable engineering practices. Knowledge of application security , vulnerability management, and secure SDLC practices is preferred. The role requires expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud ‑ native development on platforms such as Azure or AWS. A full ‑ stack tech lead is also adept in CI/CD practices, infrastructure ‑ as ‑ code, containerization (e.g., Docker, Kubernetes), and secure coding principles, with hands ‑ on experience integrating security, logging, monitoring, and performance tools. Strong problem ‑ solving skills, system ‑ level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications. Deep hands-on experience with AWS cloud architecture and related services . Demonstrated hands-on AI/ML implementation experience , with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent). 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. Required Certifications: One or more Security Certification focused on app sec - (e.g., CSPM, CSSM, CISSP, CISM, CSSLP, CCSP, CompTIA, ISC2, GIAC, EC-Council) One or more cloud security – The AWS Certified Security - Specialty (often called AWS Security Specialty, SCS-C02) Google Professional Cloud Security Engineer Preferred Certifications: AI / ML Certification (AWS, GCP, or equivalent) AWS Certification (e.g., Solutions Architect, DevOps Engineer) 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: $128,400 - $192,600 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

Senior Security Engineer - IS07FE 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 Enterprise Cyber Focal Office – Sr. Security Engineer is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead. This role is responsible for designing, developing, and implementing complex, AI ‑ driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience. Operating at a technical lead/manager (T7) level, this role combines deep engineering expertise , cloud-native architecture , and applied AI with strong leadership and influence across Cyber, Reliability Engineering, Infrastructure Engineering and Software Engineering teams. The role also provides technical leadership and direction to offshore teams and drives adoption of secure-by-design engineering practices across the enterprise. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Technical Leadership & Solution Delivery Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high ‑ impact technical solutions. Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation. Lead end-to-end solution architecture , including design reviews, implementation, and operational readiness for cyber platforms and tooling. Apply full ‑ stack application development expertise to build secure, resilient, and performant cyber applications and services. Cloud & AI Engineering Architect and deliver solutions using AWS cloud services , following cloud-native, well ‑ architected, and security principles. Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support). Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready. Application Security Demonstrated hands ‑ on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale. Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise ‑ wide. Experienced in Leveraging GitHub Copilot as a hands ‑ on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards. Application Vulnerability Management Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows. Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques. Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines. Engineering Partnership & Best Practices Act as a trusted partner to Security, Platform, Reliability and Software Engineers , enabling secure, reliable, and resilient application delivery. Define, promote, and enforce application security best practices , including secure coding, dependency management, secrets handling, logging, and monitoring. Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate. Team Leadership & Delivery Excellence Provide technical leadership to an offshore engineering team , including design guidance, code reviews, mentoring, and delivery oversight. Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards. Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities. Required Experience & Qualifications 6+ years of experience in cyber-focused application development (security engineering), with time in technical leadership roles. Strong security application development experience (frontend, backend, APIs, integrations). This includes proficiency in modern frameworks and languages such as Angular, React, or Vue.js with strict Content Security Policy (CSP) and XSS prevention. Node.js or NestJS using security modules like Helmet, Jose, and express-validator. Proven experience designing and delivering enterprise-scale cyber, security or application platforms . Experience leading and mentoring distributed/offshore technical teams , using Splunk, Dynatrace, Akamai or other events and logs. Ability to operate as a trusted partner and influencer across Cyber, Engineering, and Infrastructure organizations. Experience across logging and monitoring, edge and application security, AI ‑ assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms , ensuring scalable, secure, and repeatable engineering practices. Knowledge of application security , vulnerability management, and secure SDLC practices is preferred. The role requires expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud ‑ native development on platforms such as Azure or AWS. A full ‑ stack tech lead is also adept in CI/CD practices, infrastructure ‑ as ‑ code, containerization (e.g., Docker, Kubernetes), and secure coding principles, with hands ‑ on experience integrating security, logging, monitoring, and performance tools. Strong problem ‑ solving skills, system ‑ level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications. Deep hands-on experience with AWS cloud architecture and related services . Demonstrated hands-on AI/ML implementation experience , with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent). 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. Required Certifications: One or more Security Certification focused on app sec - (e.g., CSPM, CSSM, CISSP, CISM, CSSLP, CCSP, CompTIA, ISC2, GIAC, EC-Council) One or more cloud security – The AWS Certified Security - Specialty (often called AWS Security Specialty, SCS-C02) Google Professional Cloud Security Engineer Preferred Certifications: AI / ML Certification (AWS, GCP, or equivalent) AWS Certification (e.g., Solutions Architect, DevOps Engineer) 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: $128,400 - $192,600 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

Senior Security Engineer - IS07FE 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 Enterprise Cyber Focal Office – Sr. Security Engineer is a senior, hands-on technical leader and trusted partner to the Enterprise Cyber Focal Lead. This role is responsible for designing, developing, and implementing complex, AI ‑ driven cyber security solutions that strengthen application security, vulnerability management, and enterprise cyber resilience. Operating at a technical lead/manager (T7) level, this role combines deep engineering expertise , cloud-native architecture , and applied AI with strong leadership and influence across Cyber, Reliability Engineering, Infrastructure Engineering and Software Engineering teams. The role also provides technical leadership and direction to offshore teams and drives adoption of secure-by-design engineering practices across the enterprise. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Technical Leadership & Solution Delivery Serve as a trusted technical advisor to the Enterprise Cyber Focal Lead, translating cyber strategy into scalable, high ‑ impact technical solutions. Design, build, and implement complex cyber solutions leveraging AI/ML to improve threat detection, vulnerability management, risk prioritization, and automation. Lead end-to-end solution architecture , including design reviews, implementation, and operational readiness for cyber platforms and tooling. Apply full ‑ stack application development expertise to build secure, resilient, and performant cyber applications and services. Cloud & AI Engineering Architect and deliver solutions using AWS cloud services , following cloud-native, well ‑ architected, and security principles. Apply hands-on AI/ML capabilities (GCP preferred) to build and operationalize intelligent cyber capabilities (e.g., analytics, anomaly detection, automation, decision support). Partner with data, AI, and platform teams to ensure solutions are scalable, secure, and production-ready. Application Security Demonstrated hands ‑ on experience with enterprise security, logging, and monitoring platforms (e.g., Splunk, Dynatrace, Orca Security, Akamai), leveraging these tools to drive threat detection, observability, and risk reduction at scale. Applies deep technical expertise in security telemetry, application logging, and runtime monitoring to design, integrate, and optimize application level security and observability capabilities enterprise ‑ wide. Experienced in Leveraging GitHub Copilot as a hands ‑ on productivity and quality accelerator for secure software development, including code scaffolding, refactoring, test generation, and documentation, while ensuring adherence to enterprise security and coding standards. Application Vulnerability Management Own and lead application vulnerability management from a technical standpoint, including tooling, integrations, automation, and remediation workflows. Partner with CISO (THIP) and Engineering organization and drive modernization and automation of vulnerability intake, prioritization, and reporting using AI and data-driven techniques. Partner with application teams to embed vulnerability remediation into SDLC and CI/CD pipelines. Engineering Partnership & Best Practices Act as a trusted partner to Security, Platform, Reliability and Software Engineers , enabling secure, reliable, and resilient application delivery. Define, promote, and enforce application security best practices , including secure coding, dependency management, secrets handling, logging, and monitoring. Influence engineering teams through technical standards, reference architectures, and hands-on guidance rather than mandate. Team Leadership & Delivery Excellence Provide technical leadership to an offshore engineering team , including design guidance, code reviews, mentoring, and delivery oversight. Ensure high engineering quality, operational stability, and adherence to enterprise security and compliance standards. Contribute to roadmap planning, prioritization, and continuous improvement of cyber platforms and capabilities. Required Experience & Qualifications 6+ years of experience in cyber-focused application development (security engineering), with time in technical leadership roles. Strong security application development experience (frontend, backend, APIs, integrations). This includes proficiency in modern frameworks and languages such as Angular, React, or Vue.js with strict Content Security Policy (CSP) and XSS prevention. Node.js or NestJS using security modules like Helmet, Jose, and express-validator. Proven experience designing and delivering enterprise-scale cyber, security or application platforms . Experience leading and mentoring distributed/offshore technical teams , using Splunk, Dynatrace, Akamai or other events and logs. Ability to operate as a trusted partner and influencer across Cyber, Engineering, and Infrastructure organizations. Experience across logging and monitoring, edge and application security, AI ‑ assisted development, ITSM workflows, CI/CD pipelines, and automated deployment platforms , ensuring scalable, secure, and repeatable engineering practices. Knowledge of application security , vulnerability management, and secure SDLC practices is preferred. The role requires expertise in API design (REST/GraphQL), database technologies (SQL and NoSQL), and cloud ‑ native development on platforms such as Azure or AWS. A full ‑ stack tech lead is also adept in CI/CD practices, infrastructure ‑ as ‑ code, containerization (e.g., Docker, Kubernetes), and secure coding principles, with hands ‑ on experience integrating security, logging, monitoring, and performance tools. Strong problem ‑ solving skills, system ‑ level thinking, and the ability to collaborate across product, security, and operations teams are essential to delivering scalable, resilient, and secure applications. Deep hands-on experience with AWS cloud architecture and related services . Demonstrated hands-on AI/ML implementation experience , with GCP preferred (Vertex AI, BigQuery, ML pipelines, or equivalent). 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. Required Certifications: One or more Security Certification focused on app sec - (e.g., CSPM, CSSM, CISSP, CISM, CSSLP, CCSP, CompTIA, ISC2, GIAC, EC-Council) One or more cloud security – The AWS Certified Security - Specialty (often called AWS Security Specialty, SCS-C02) Google Professional Cloud Security Engineer Preferred Certifications: AI / ML Certification (AWS, GCP, or equivalent) AWS Certification (e.g., Solutions Architect, DevOps Engineer) 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: $128,400 - $192,600 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