Insurance

Insurance Engineer Jobs

2 jobs found

11d ago

Senior Full Stack Software Engineer - Claims Technology

Liberty Mutual Columbus, OH

Columbus, OH

11d ago

$106k - $197k/yr Full time Backend Developer Senior Amazon Web Services

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Job Description

Liberty Mutual is seeking a Senior Full Stack Software Engineer - Claims Technology to design and deliver cloud-native, AWS-based full-stack solutions for claims workflows. This hybrid role is anchored in Columbus, Ohio, with collaboration across offices in Portsmouth, NH; Boston, MA; Plano, TX; and Indianapolis, IN. The position offers a salary range of USD 106,000 to 197,000 per year and requires a minimum of five years of software engineering experience along with a Bachelor’s or Master’s degree (or equivalent).

What you'll do

As a Senior Software Engineer, you will own medium-to-large features and services end-to-end, helping modernize and evolve our claims technology ecosystem.

Responsibilities

Design, develop, test, deploy, and support full stack software solutions in an Agile product team
Build modern web applications and backend services that support claims experiences and operational workflows
Develop scalable APIs, microservices, and event-driven integrations using Java / Spring Boot and cloud-native patterns
Build and maintain responsive frontend applications using JavaScript/TypeScript and modern frameworks such as React, Angular, or Vue
Design and implement AWS-based solutions using services such as Lambda, API Gateway, S3, RDS / DynamoDB, SQS / SNS, Step Functions, CloudWatch, IAM, ECS / EKS or other container-based runtime platforms
Create and maintain secure APIs and integrations aligned with enterprise standards
Implement secure authentication and authorization patterns leveraging enterprise identity solutions
Design, optimize, and troubleshoot data models and application data flows across relational and cloud-native data stores
Lead troubleshooting and root cause analysis for production issues; improve system reliability, resilience, and performance
Build and enhance CI/CD pipelines using GitHub Actions and related automation, testing, and quality tooling
Improve observability using tools such as Datadog and Splunk, including dashboards, alerting, metrics, logs, and tracing
Participate in discovery, estimation, technical design, story writing, and documentation
Contribute to engineering best practices across code quality, testing, automation, and operational readiness
Mentor engineers and help elevate team standards and execution
Own medium-to-large features and services end-to-end, helping modernize and evolve our claims technology ecosystem

Requirements

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 (Apigee patterns, identity/security considerations)
Improves engineering practices (CI/CD, test automation, code quality) and mentors others
Ensures established standards for observability, deployment, resiliency, and developer productivity across teams
Partners with product, architecture, and security stakeholders; makes and communicates trade-offs clearly
Mentors team members and ensures High-Performing Engineering standards are chosen and monitored with the team
Strong software engineering fundamentals: clean code, testing, debugging, and design
Experience integrating systems via APIs and working with enterprise standards (security, logging, monitoring)
Ability to work in Agile teams using modern delivery practices (iteration, experimentation, continuous improvement)
Effective communication and collaboration; able to document and explain technical decisions
Experience and openness to utilizing AI Software Development Tools (GitHub Actions Copilot etc.)
Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience
5+ years of software engineering experience
Strong experience designing, developing, and supporting production applications
Demonstrated ability to work across frontend, backend, API, cloud, and operational concerns
Experience working 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
Experience or openness to using AI-assisted software development 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, Kubernetes
GitHub Actions, Datadog, Splunk
SQL Server
Core Technologies (Cloud, Backend, Frontend, API & Integration, Containers/Runtime, CI/CD, Observability, Data, Security & Identity, AI Developer Tooling)
GitHub Copilot, Microsoft Copilot, LibertyGPT

Benefits

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

Candidate Profile

Strong full stack engineering skills across modern frontend frameworks and backend services
Experience designing and building cloud-native applications in AWS
A problem-solving mindset and the ability to navigate ambiguity
A focus on reliability, security, performance, and maintainability
Strong collaboration and communication skills in Agile, cross-functional teams
A passion for continuous improvement, mentoring others, and delivering business value

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19d ago

Manager, Software Engineering Product Manager (Annuity Data Platform)

Nationwide Columbus, OH

Columbus, OH

19d ago

Full time Manager Ai Workflows Analytics

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Job Description

Nationwide Technology invites you to influence how data powers modern insurance solutions. This role leads the Annuity Data Platform team in delivering data capabilities, AI-enabled solutions, and modernization outcomes from a hybrid Columbus, Ohio schedule (in-office Wednesdays and Thursdays). You’ll guide a skilled group of engineers and data professionals, shaping platform strategy and ensuring secure, scalable data foundations that serve multiple annuity capabilities and downstream consumers.

Responsibilities

Define and drive the strategic direction for the Annuity Data Platform in alignment with organizational goals, the Annuity Modernization Program, and broader Data Strategy priorities.
Establish an outcome-based roadmap for ADP that balances first-launch delivery with long-term platform scalability, reuse, analytics, and AI enablement.
Partner with architecture and business leaders to ensure the platform supports modernization capabilities, downstream consumers, and future-state reporting, analytics, and AI needs.
Lead the ADP team in delivering data capabilities required for Annuity Modernization first launch, including support for priority business capabilities and critical-path features.
Ensure backlog readiness, sequencing, and alignment to milestone planning, integrated plans, and cross-team handoffs to enable predictable delivery against committed outcomes.
Address scope, dependency, and capacity issues impacting delivery while maintaining focus on business value, schedule commitments, and quality.
Lead the design, development, and operation of scalable, secure, and resilient data platform capabilities that meet business and technology needs.
Establish and mature engineering practices across the ADP team, including DevSecOps, automation, observability, and reliable run operations support.
Maintain strong controls around platform health, data quality, stability, support readiness, and risk mitigation as ADP becomes foundational to multiple annuity capabilities.
Partner with enterprise and program data leaders to shape and implement Data Strategy for Annuity, including data modeling, lineage, governance, and reusable platform patterns.
Identify high-value opportunities for AI-based solutions enabled by trusted, governed, and reusable data assets on the ADP platform.
Help define and mature foundational AI capabilities in data, including reliable data pipelines, governed data assets, reusable data products, and platform patterns for analytics and automation.
Ensure the platform provides trusted, consumable data for operational processes, regulatory needs, reporting, analytics, and future AI-driven solutions.
Work with business stakeholders to understand pain points and opportunities that data and AI-based solutions can address.
Translate opportunities into actionable use cases, roadmaps, and delivery plans with cross-functional teams.
Promote pragmatic adoption of AI-enabled capabilities that improve operational efficiency and speed to insight while aligning to enterprise standards and risk controls.
Connect AI and data solutions to measurable business outcomes that support Annuity Modernization goals.
Foster partnerships across Annuity Technology, IDS, Data Architecture, Program Leadership, and business stakeholders to ensure seamless delivery of platform capabilities.
Collaborate with partner teams such as ALIP, Real Time Integrations, Workflow, and Correspondence to manage interdependencies and align delivery plans.
Represent the ADP initiative in planning, governance, and escalation forums as a key leadership voice.
Develop and manage a workforce strategy for the ADP team, aligning skills and capacity with modernization demand and first-launch commitments.
Manage vendor relationships and external partnerships to ensure high-quality delivery, efficient onboarding, and scalable support where needed.
Optimize build and run costs while maintaining delivery quality, platform resiliency, and long-term value realization.
Cultivate an engineering culture focused on accountability, collaboration, learning, and continuous improvement.
Strengthen the team’s ability to plan, execute, and support data platform work through operating rhythms, performance metrics, and talent development.
Stay current on industry trends in data platforms, cloud, automation, analytics, and AI, applying insights to improve team effectiveness and platform outcomes.

Requirements

Proven experience leading software engineering and/or data platform teams in large, complex technology environments.
Strong understanding of data platforms, data engineering, data architecture, and modern software delivery practices.
Experience leading transformational programs with significant cross-functional dependency management, delivery execution, and operational accountability.
Solid knowledge of DevSecOps, SRE and operational practices, automation, and engineering maturity improvement.
Experience enabling data-driven and AI-supported solutions through strong partnerships with business stakeholders, architects, and engineering teams.
Understanding of foundational capabilities for analytics, automation, and AI use cases, including data quality, governance, lineage, and scalable platform design.
Excellent collaboration, communication, and stakeholder management skills with the ability to influence across business and technology organizations.
Ability to lead and inspire cross-functional teams while balancing immediate delivery needs with longer-term strategic platform outcomes.
Up-to-date knowledge of technology trends in cloud, data, analytics, and emerging AI capabilities.
Undergraduate studies in management information systems, engineering, math, computer science or comparable experience and education.
Six years of experience in application suite management with at least four years leading multiple teams across technologies; demonstrated success in building engaged teams.

Benefits

Medical, dental, and vision coverage
Life Insurance
Short and long term disability coverage
Paid time off including a minimum of 18 days per year for new hires, pro-rated quarterly based on hire date
Nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
Company-paid pension plan
Business casual attire

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Insurance Engineer Jobs

Senior Full Stack Software Engineer - Claims Technology

Manager, Software Engineering Product Manager (Annuity Data Platform)

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