Senior Software Engineer

Senior Software EngineerDo you have the skills - and drive - to join a tech team that's working to digitally transform a trillion-dollar industry? From test-driving the latest technologies to creating intuitive consumer apps, Liberty Mutual is constantly innovating and creating industry-leading solutions that provide peace of mind for our customers worldwide. As a senior software engineer at Liberty Mutual, you'll apply your talents in an agile environment that has the creative energy of a start-up - and the full backing and comprehensive benefits of a Fortune 100 company.You'll join The Auto Physical Damage (APD) squad within Liberty Mutual's Claims Predictive Modeling domain. Our engineers are the bridge between data science and production: we partner directly with data scientists to take predictive and generative AI models out of the lab and operationalize them as real-time and batch services that drive automated claims decisions.U.S. Based role only. Hybrid role: Requires two days in the office a week in Plano, Boston, Portsmouth, Indianapolis, or Columbus.You'll sit on a scrum squad alongside product owners, a solutions engineer, and fellow engineers — and you'll work shoulder-to-shoulder with the claims data science team. Data science owns model development and prompt engineering; Our team owns the deployed environments, the integration architecture, and the production health of everything that ships. You'll also partner with the teams that consume our output, including the adjuster-facing claims platforms and downstream subrogation and intake systems.ResponsibilitiesModel operationalization: Partner with data scientists to deploy models as production microservices, building the feature pipelines, orchestration, and integration layers that deliver predictions to downstream claims systemsIntegration engineering: Build and maintain event-driven and API-based integrations between predictive services and enterprise claims platforms, including Guidewire Navigator and FNOL intakeGenAI enablement: Help operationalize generative AI use cases in the claims space — including prompt-driven services and the evaluation frameworks that measure whether LLM output is good enough to act onProduction ownership: Own monitoring, alerting, and operational support for the services the squad runs, including on-call and service desk support for live model integrationsCollaborative partner: Working with our team of scrum masters, product owners and fellow engineers, you'll tackle technical challenges and ensure quality as we move from legacy technologies to next-generation applicationsComprehensive problem-solver: As you manage the end-to-end development of software products, you'll analyze issues at the system level and handle any complications that arise by implementing effective solutionsSkilled technical engineer: You'll document and lead the implementation of technical features, improvements and innovationsForward thinker: Simply fixing the problem isn't enough; using your proactive mindset and initiative, you'll continually look for ways to improve performance, quality and efficiencyQualificationsA minimum of five years of software engineering experienceHands-on experience with Java and Spring Boot for microservice developmentExperience building on AWS — Lambda, API Gateway, Step Functions, SQS, DynamoDB, S3, and RDS/MySQL — ideally with infrastructure as code (AWS CDK)Python for CDKExperience with event-driven and data pipeline technologies such as Kafka, Apache Airflow, and SnowflakeFamiliarity with MLOps concepts — model deployment, versioning, feature pipelines, and monitoring of model-serving servicesExperience with observability tooling (Datadog, Splunk) and CI/CD pipelinesA history of translating client requirements into technical designsAgile engineering capabilities and a design-thinking mindsetCollaboration, adaptability, flexibility and the ability to manage time and prioritize work with a globally distributed development teamStrong oral and written communication skills — and a knack for explaining your decision-making process to non-engineersA thorough grasp of IT concepts, business operations, design and development tools, system architecture and technical standards, shared software concepts and layered solutions and designsAn understanding of how modifications affect different parts of a systemA background in business operations and strategies, with a focus on business ITA bachelor's or master's degree in a technical or business discipline, or equivalent experienceNice to have, but not requiredExposure to LLM/GenAI application patterns — prompt engineering, retrieval, evaluation and quality metricsInsurance claims domain knowledgeDatabricks platformExperience with computer vision or OCR pipelines