Senior Software Engineer

Posted 6 Hours Ago
5 Locations
Hybrid
106K-197K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Join us, and pursue your tomorrow, today.
The Role
Develop and operate production microservices that operationalize predictive and generative AI models for claims systems. Responsibilities include building AWS-based feature pipelines, APIs, event-driven integrations, monitoring, alerting, CI/CD, and model evaluation frameworks. The engineer partners with data scientists, product teams, and enterprise platform teams, supports live services through on-call responsibilities, translates requirements into technical designs, and leads implementation and continuous improvement.
Summary Generated by Built In
Description
Do 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.
About the team
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.
Who you'll work with
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.
Responsibilities
  • Model 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 systems
  • Integration engineering: Build and maintain event-driven and API-based integrations between predictive services and enterprise claims platforms, including Guidewire Navigator and FNOL intake
  • GenAI 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 on
  • Production ownership: Own monitoring, alerting, and operational support for the services the squad runs, including on-call and service desk support for live model integrations
  • Collaborative 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 applications
  • Comprehensive 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 solutions
  • Skilled technical engineer: You'll document and lead the implementation of technical features, improvements and innovations
  • Forward 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 efficiency

Qualifications
  • A minimum of five years of software engineering experience
  • Hands-on experience with Java and Spring Boot for microservice development
  • Experience building on AWS - Lambda, API Gateway, Step Functions, SQS, DynamoDB, S3, and RDS/MySQL - ideally with infrastructure as code (AWS CDK)
  • Python for CDK
  • Experience with event-driven and data pipeline technologies such as Kafka, Apache Airflow, and Snowflake
  • Familiarity with MLOps concepts - model deployment, versioning, feature pipelines, and monitoring of model-serving services
  • Experience with observability tooling (Datadog, Splunk) and CI/CD pipelines
  • A history of translating client requirements into technical designs
  • Agile engineering capabilities and a design-thinking mindset
  • Collaboration, adaptability, flexibility and the ability to manage time and prioritize work with a globally distributed development team
  • Strong oral and written communication skills - and a knack for explaining your decision-making process to non-engineers
  • A thorough grasp of IT concepts, business operations, design and development tools, system architecture and technical standards, shared software concepts and layered solutions and designs
  • An understanding of how modifications affect different parts of a system
  • A background in business operations and strategies, with a focus on business IT
  • A bachelor's or master's degree in a technical or business discipline, or equivalent experience

Nice to have, but not required
    • Exposure to LLM/GenAI application patterns - prompt engineering, retrieval, evaluation and quality metrics
    • Insurance claims domain knowledge
    • Databricks platform
    • Experience with computer vision or OCR pipelines

About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

$106,000.00 - 197,000.00

Skills Required

  • Minimum five years of software engineering experience
  • Hands-on experience with Java and Spring Boot for microservice development
  • Experience building on AWS, including Lambda, API Gateway, Step Functions, SQS, DynamoDB, S3, and RDS/MySQL
  • Python experience for AWS CDK
  • Experience with Kafka, Apache Airflow, and Snowflake
  • Familiarity with MLOps concepts, including model deployment, versioning, feature pipelines, and monitoring
  • Experience with observability tooling such as Datadog and Splunk
  • Experience with CI/CD pipelines
  • History of translating client requirements into technical designs
  • Agile engineering capabilities and a design-thinking mindset
  • Strong oral and written communication skills
  • Understanding of IT concepts, business operations, system architecture, technical standards, and layered software solutions
  • Understanding of system-wide impacts from modifications
  • Background in business operations and business IT strategies
  • Bachelor's or master's degree in a technical or business discipline, or equivalent experience
  • Exposure to LLM or generative AI application patterns, including prompt engineering, retrieval, evaluation, and quality metrics
  • Insurance claims domain knowledge
  • Experience with Databricks
  • Experience with computer vision or OCR pipelines

What the Team is Saying

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Tyler
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Chase
Ethan
Sandra

Liberty Mutual Insurance Compensation & Benefits Highlights

  • Parental & Family Support Parental and family-building support is notably robust, with eight weeks paid bonding for all parents and an additional eight weeks of 100% paid short‑term disability for birth parents. Adoption/surrogacy reimbursement up to $40,000, substantial fertility coverage, and backup childcare reinforce this strength.
  • Retirement Support Retirement programs are positioned as a standout, including a 401(k) that matches 100% of the first 5% per pay period plus an additional 3% annual contribution for eligible employees. A student‑loan “401(k) match” feature further broadens access to company retirement contributions.
  • Wellbeing & Lifestyle Benefits Mental‑health and well‑being resources are emphasized, with 12 free therapy sessions for employees and family members and access to resilience tools. Onsite health centers in Boston and Plano add convenient primary and urgent care access for some locations.

Liberty Mutual Insurance Insights

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The Company
HQ: Boston, MA
40,000 Employees
Year Founded: 1912

What We Do

Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.

Why Work With Us

We offer the agility, work flexibility, project ownership and access to emerging tech you’d expect from a start-up — combined with the stability, resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming, inclusive environment that values the unique insights, perspectives and backgrounds of each person.

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Liberty Mutual Insurance Teams

Team
Digital & Technology
About our Teams

Liberty Mutual Insurance Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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HQBoston, MA
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Indianapolis, IN
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Plano, TX
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Portsmouth, NH
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Seattle, WA
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