20 publicaciones de empleo destacadas de lead data engineer en desde casa (¡Están contratando!)

We are seeking a Lead .NET Engineer to build and architect full-stack solutions for insurance workflows from submission through policy issuance. You will lead delivery across backend services, cloud, and AI SDLC while partnering with stakeholders—apply to help drive high-impact outcomes.

Responsibilities

Lead end-to-end delivery of user stories from estimation through production release
Design solution architectures that support insurance workflows from submission to policy issuance
Build and maintain backend services using .NET Framework with strong reliability and performance
Develop full-stack features that integrate .NET services with React-based user experiences
Collaborate with stakeholders to clarify requirements, define scope, and translate needs into technical artifacts
Implement AI SDLC practices and deliver AI-native capabilities aligned to product goals
Apply Microsoft Azure services to deploy, operate, and monitor cloud solutions
Create and maintain data models and queries in Microsoft SQL Server
Guide engineering standards through code reviews, technical direction, and mentoring
Drive integration of specialty insurance product needs, including excess lines, into system design

Requirements

5+ years of .NET Framework experience building backend services
Strong insurance domain knowledge across the value chain from submission to quoting, binding, and policy issuance
Specialty insurance product knowledge in excess lines such as Excess Casualty and Professional Liability
5+ years of solution architecture experience designing scalable application solutions
Lead-level team leadership experience guiding engineers through delivery and code quality
Strong stakeholder management skills to gather needs, estimate features, and align on scope
Advanced Microsoft Azure skills using cloud services to build and operate solutions
Strong Microsoft SQL Server skills including schema design and performance tuning
Hands-on AI Native Engineering experience across the AI SDLC
Upper-Intermediate English (B2) proficiency for clear collaboration and documentation

Nice to have

ReactJS experience building production UIs
Experience with actuarial reserving in an insurance context
Experience implementing agentic AI solutions using Microsoft tools

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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