Senior Software Engineer – React, Full Stack

Marsh McLennan

. Design, build, and evolve full stack capabilities for an AI-powered insurance document analysis platform .

Posted 11/11/2026full-timeRemote • United StatesSenior💰 $106,000 - $159,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building full stack applications with a focus on AI-powered document analysis, utilizing modern technologies such as React, TypeScript, and Python. Proven ability to design secure, scalable systems and mentor engineering teams while delivering high-quality solutions.

Highest-signal resume keywords

React Application DevelopmentPython Services DevelopmentRESTful API DesignAWS and Kubernetes ExperienceTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptFastAPICeleryDocument ProcessingAsynchronous WorkflowsCI/CDMonitoringMongoDBRedisAmazon S3

Soft Skills

CommunicationCollaborationProblem-SolvingMentoring

Tools & Technologies

Cloud-Native DeploymentContainersIdentity PlatformsThird-Party APIsOCR Services

Industry Keywords

AI-Powered SolutionsInsurance Document AnalysisCoverage-Gap AnalysisQuote ComparisonReal-Time Progress Flows

Tech Stack

Tools & technologies

AWSCloudKubernetesMongoDBPythonReactRedisTypeScript

About the role

Key responsibilities & impact

Design, build, and evolve full stack capabilities for an AI-powered insurance document analysis platform
Partner with product, design, and fellow engineers to turn complex business needs into secure, reliable experiences
Contribute to document processing, coverage-gap analysis, quote comparison, and real-time progress flows
Participate in thoughtful code reviews, automated testing, observability, and technical mentorship

Requirements

What you’ll need

Strong experience building modern React applications with TypeScript, component-based UI design, and client-side API integration
Professional experience developing Python services with FastAPI and designing RESTful APIs, background processing, and asynchronous workflows with Celery
Ability to design secure, scalable systems integrating with identity platforms, third-party APIs, OCR/document-processing services, and LLM-powered workflows
Experience with cloud-native deployment patterns, containers, CI/CD, monitoring, and production operations
AWS and Kubernetes/EKS experience highly relevant
Strong communication, collaboration, problem-solving, and technical leadership skills
Track record of mentoring engineers and delivering high-quality work
Hands-on experience with document-oriented or distributed data platforms such as MongoDB, Redis, and Amazon S3

Benefits

Comp & perks

Generous time off, including personal and volunteering
Tuition reimbursement and professional development opportunities
Hybrid OR Remote work
Charitable contribution match programs
Stock purchase opportunities
Health and welfare benefits
Tuition assistance
401K savings and other retirement programs
Employee assistance programs
Performance-based incentives may be available