Senior Full Stack Software Engineer - Claims Technology

Liberty Mutual's Claims Technology group is seeking a Senior Full Stack Software Engineer to design, build, and support cloud-native, full-stack solutions that modernize the claims experience for customers, adjusters, and internal partners. This hybrid role emphasizes hands-on development within an Agile team, with two onsite days per week and preferred sites in Portsmouth, NH and Indianapolis, IN, alongside Boston, MA; Plano, TX; and Columbus, OH.

Compensation

Salary: USD 106,000 – 197,000 per year

Location

Boston, MA, hybrid work arrangement with two onsite days weekly. Primary onsite preferences include Portsmouth, NH and Indianapolis, IN, with additional sites in Boston, MA; Plano, TX; and Columbus, OH.

Responsibilities

• Design, build, test, deploy, and operate full-stack software within an Agile product team
• Develop modern web interfaces and backend services to support claims experiences and business workflows
• Create scalable APIs, microservices, and event-driven integrations using Java and Spring Boot along with cloud-native patterns
• Develop and maintain responsive frontend applications using JavaScript/TypeScript and frameworks such as React, Angular, or Vue
• Architect and implement AWS-based solutions using services like Lambda, API Gateway, S3, RDS / DynamoDB, SQS / SNS, Step Functions, CloudWatch, IAM, ECS / EKS, and other container runtimes
• Build secure APIs and integrations aligned with enterprise standards
• Implement authentication and authorization patterns leveraging enterprise identity solutions
• Design, optimize, and troubleshoot data models and application data flows across relational and cloud-native stores
• Lead troubleshooting and root-cause analysis for production issues to improve reliability, resilience, and performance
• Build and refine CI/CD pipelines with GitHub Actions and related automation, testing, and quality tooling
• Enhance observability with Datadog and Splunk, including dashboards, alerts, metrics, logs, and tracing
• Contribute to discovery, estimation, technical design, story writing, and documentation
• Advance engineering best practices in code quality, testing, automation, and operational readiness
• Mentor engineers and help elevate team standards and execution

Requirements

• Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience
• 5+ years of software engineering experience
• Proven ability to design, develop, and support production applications
• Experience spanning frontend, backend, API, cloud, and operational concerns
• Experience in enterprise environments with security, monitoring, and reliability standards
• Experience with CI/CD pipelines, automated testing, and modern DevOps practices
• Experience troubleshooting application and database performance issues
• Open to using AI-assisted software development tools
• Owns medium-to-large features end-to-end, including design, implementation, testing strategy, and production readiness
• Leads troubleshooting and performance tuning (application and database)
• Drives API/integration work with attention to identity and security considerations
• Contributes to engineering practices (CI/CD, test automation, code quality) and mentors others
• Ensures observability, deployment, resiliency, and developer productivity standards across teams
• Partners with product, architecture, and security stakeholders and communicates trade-offs clearly
• Mentors team members and promotes High-Performing Engineering standards
• Strong fundamentals in clean code, testing, debugging, and design
• Experience integrating systems via APIs and adhering to enterprise standards (security, logging, monitoring)
• Ability to work in Agile teams using contemporary delivery practices
• Effective communication and collaboration; able to document and explain technical decisions
• Interest or experience with AI software development tools

Benefits

• Comprehensive benefits
• Workplace flexibility
• Professional development opportunities
• Opportunities provided through our Employee Resource Groups

Core Technologies

• Cloud: AWS-based solutions including Lambda, API Gateway, S3, RDS / DynamoDB, SQS / SNS, Step Functions, CloudWatch, IAM, ECS / EKS, or other container runtimes
• Backend: Java, Spring Boot
• Frontend: JavaScript, TypeScript, React / Angular / Vue
• API & Integration: REST APIs, event-driven architecture, enterprise integration patterns
• Containers/Runtime: Kubernetes, ECS, EKS
• CI/CD: GitHub Actions, automated testing, deployment pipelines
• Observability: Datadog, Splunk
• Data: SQL Server, relational databases, cloud-native data services
• Security & Identity: enterprise authentication/authorization solutions, secure API practices
• AI Developer Tooling: GitHub Copilot, Microsoft Copilot, LibertyGPT or similar productivity tools

Technologies

• AWS, Lambda, API Gateway, S3, RDS, DynamoDB, SQS, SNS, Step Functions, CloudWatch, IAM, ECS, EKS
• Java, Spring Boot
• JavaScript, TypeScript, React, Angular, Vue
• REST APIs, Event-driven architecture, enterprise integration patterns
• Kubernetes, GitHub Actions
• Datadog, Splunk
• SQL Server
• AI development tools: GitHub Copilot, Microsoft Copilot, LibertyGPT