Full Stack Software Engineer

Liberty Mutual Fire Insurance Co.

Portsmouth (NH)

Hybrid

USD 110,000 - 150,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work model

Job summary

Liberty Mutual Fire Insurance Co. in Portsmouth, NH is seeking a Full Stack Software Engineer to join the Global Enterprise Services team. You will help design, build, and deliver back-end and full-stack applications within the Jet Setters squad, supporting 22 GFT products.

The role emphasizes collaboration with senior engineers, code reviews, CI/CD, automated testing, and AI-powered feature integration, with a hybrid work arrangement and potential relocation flexibility.

Qualifications

  • Bachelor's degree in a technical or business discipline.
  • Minimum 3+ years of Full Stack Engineering experience.
  • Experience with object-oriented design patterns and architectural patterns.

Responsibilities

  • Design and develop application features within the Jet Setters squad.
  • Collaborate with senior engineers and solutions engineers to apply patterns and reusable components.
  • Participate in code and design reviews and maintain automated testing, CI/CD, and observability.
  • Provide production support including incident triage and root-cause analysis.
  • Translate business needs into well-scoped technical work and estimates.

Skills

Full Stack Engineering
TypeScript
React
Node.js
AWS Lambda
AWS S3
SQL
Spring Boot
GitHub Actions
Agile methodologies
CI/CD
Communication skills
Problem-solving
GenAI tools

Education

Bachelor's degree

Tools

AWS
CI/CD tooling
Testing frameworks

Job description

We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.

At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects.

This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, and Boston, MA.

You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply.

Job Introduction:

We are seeking a Full Stack Software Engineer to join the Global Enterprise Services team within Global Finance Tech (GFT). In this role, you will be on the Jet Setters squad, helping design, build, and deliver back-end and full-stack applications. The Jet Setters squad owns a portfolio of 22 GFT products, including the Reservation System, Contracts Portal, Non-Employee Portal, Corporate Aviation Flight Approvals, and Business Impact Analysis (BIA).

About the job:
  • Design and develop application features and components, contributing to technical design discussions within the squad's portfolio.
  • Partner with the squad's senior engineers, principal engineer, and solutions engineer to apply shared patterns, frameworks, and reusable components.
  • Participate in code and design reviews, providing and receiving constructive feedback.
  • Apply engineering guidelines, standards, and best practices, and suggest improvements where you see opportunities.
  • Build and maintain automated testing, CI/CD, and observability for the products the squad owns.
  • Perform impact analysis and technical solutioning for assigned changes, escalating complex trade-offs as needed.
  • Research technical alternatives for loosely defined problems and share recommendations with the team.
  • Provide production support, including incident triage, root cause analysis, and defect resolution.
  • Create and maintain technical specifications, design documentation, and production support artifacts.
  • Contribute to the development and integration of AI-powered features and capabilities across existing and new product lines.
  • Work with product owners and business partners to translate business needs into well-scoped technical work and estimates
Qualifications
  • Bachelor's degree in technical or business discipline.
  • Minimum 3 + years of Full Stack Engineering experience.
  • Working knowledge of object-oriented design patterns and common architectural patterns.
  • Hands-on experience with several of the following: TypeScript, React, Node.js, AWS Lambda, AWS S3, SQL, Spring Boot, GitHub Actions.
  • Effective user of GenAI development tools, with the ability to accelerate personal productivity.
  • Experience contributing to and supporting production applications.
  • Working knowledge of IT concepts, strategies, and methodologies.
  • Exposure to Agile methodologies (e.g., Scrum).
  • Familiarity with CI/CD pipelines and automated testing practices.
  • Ability to collaborate effectively with engineering, product, and business partners.
  • Strong analytical and problem-solving skills, with a willingness to take ownership and show initiative.
  • Good oral and written communication skills, including the ability to explain technical concepts to nontechnical audiences.
  • Team-oriented, with strong collaboration, prioritization, and adaptability skills.
  • Eagerness to learn, seek feedback, and grow technical and domain expertise.
Nice to Have - AI & Emerging Technologies
  • Familiarity with AI/ML concepts and how they apply to software product development.
  • Exposure to Large Language Model (LLM) APIs (e.g., OpenAI, Azure OpenAI, AWS Bedrock).
  • Awareness of Retrieval-Augmented Generation (RAG) patterns, including vector databases and embedding models.
  • Exposure to AI orchestration frameworks.
  • Familiarity with prompt engineering techniques and best practices.
  • Awareness of responsible AI principles, includin
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