Full Stack Engineer at Liberty Mutual Insurance

We need one to analyze and prepare moderately complex technology-enabled recommendations to address gaps within a single business process.

Qualifications

Desired skills:

• Bachelor's degree in technical or business discipline or equivalent experience.
• Minimum 2+ years of professional software development experience including Java, Spring Boot, JavaScript, React and Typescript.
• Knowledge of containerization technologies such as Docker, Kubernetes, Fargate and EKS.
• Proficient in AWS, Azure and Cloud deployments, DevOps, and CI/CD.
• Analytical, problem solving, communication and collaboration skills.
• Knowledge of software engineering best practices and the ability to write readable, maintainable, and performant code.
• Experience with agile software development concepts and processes.
• Must be proactive, demonstrate initiative and be a logical thinker.
• Knowledge of AI and machine learning tools and practices, including Python and R languages is a plus.

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.

Job introduction:

The Corporate Technology Artificial Intelligence / Machine Learning Platform Engineering team develops applications that enable data scientists and engineers to execute analytics, machine learning and big data initiatives in all Liberty business units. We are the team that develops the Cortex, Runway and LM Data Lab systems and we are seeking a Software Engineer with full stack skills to join us in developing and integrating these platforms. These are internally developed full-stack applications that allow AI/ML teams to develop advanced analytics and predictive models and deploy them to enterprise applications and business processes.

These systems include a provisioning service that works with both AWS and Azure, a tools portal that allows users to work with popular data science tools like R and Python, a fully compliant security layer, and an integrated CI/CD pipeline that enables users to easily integrate AI/ML models with business systems. This is an excellent opportunity for a software engineer who wants to learn about AI and machine learning because we work directly with Liberty data science teams in all markets to assist them with their projects and gather new insights to support the ongoing development of the platforms.

The industry changes quickly, so we are looking for candidates who can respond to change, pick up new technologies quickly and adapt to changing requirements. We also want candidates who take pride in their work and have strong design and development expertise. We value quality code delivery and expect candidates to demonstrate competence at writing, testing and debugging Java code.

About the job:

• Execute moderately complex components of configuring a single module according to defined design specs & demonstrates proficient understanding of transactions and major configuration options for a business process.
• Analyzes and prepare moderate to complex technology enabled recommendations to address gaps within a single business process.
• Identifies moderate to complex functional and technical requirements (e.g., gap analysis, infrastructure, interfaces, reports, enhancements, and/or conversions).
• Develops moderate to complex test scripts. Identifies and researches moderate to complex testing defects.
• Supports pieces of the implementation process such as post implementation support, cutover plans, and transition planning.

Qualifications

Desired skills:

Bachelor's degree in technical or business discipline or equivalent experience.

Minimum 2+ years of professional software development experience including Java, Spring Boot, JavaScript, React and Typescript.

Knowledge of containerization technologies such as Docker, Kubernetes, Fargate and EKS.

Proficient in AWS, Azure and Cloud deployments, DevOps, and CI/CD.

Analytical, problem solving, communication and collaboration skills.

Knowledge of software engineering best practices and the ability to write readable, maintainable, and performant code.

Experience with agile software development concepts and processes.

Must be proactive, demonstrate initiative and be a logical thinker.

Knowledge of AI and machine learning tools and practices, including Python and R languages is a plus.

At Liberty Mutual, our purpose is to help people embrace today and confidently pursue tomorrow. That's why we provide an environment focused on openness, inclusion, trust and respect. Here, you'll discover our expansive range of roles, and a workplace where we aim to help turn your passion into a rewarding profession.

Liberty Mutual has proudly been recognized as a “Great Place to Work” by Great Place to Work® US for the past several years. We were also selected as one of the “100 Best Places to Work in IT” on IDG's Insider Pro and Computerworld's 2020 list. For many years running, we have been named by Forbes as one of America's Best Employers for Women and one of America's Best Employers for New Graduates—as well as one of America's Best Employers for Diversity. To learn more about our commitment to diversity and inclusion please visit: https://jobs.libertymutualgroup.com/diversity-inclusion

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.