Top Tech Jobs & Startup Jobs

Leads the architecture vision and technology blueprint for scalable, configurable insurance product platforms. Defines product, integration, API, data, cloud, DevOps, security, and scalability strategies; evaluates emerging technologies; guides product roadmaps; and supports sales and marketing with technical positioning. Requires extensive enterprise technology and insurance domain experience, including reusable product platforms and SaaS solutions.

Lead end-to-end architecture, design, and implementation of Guidewire InsuranceSuite solutions for insurance clients. Translate business requirements into scalable technical designs, define integration strategies using APIs, plugins, messaging, and external systems, and establish architecture and development standards. Conduct reviews, ensure quality and performance, collaborate with cross-functional teams, mentor developers, support presales proposals and estimates, and align delivery with enterprise architecture and client expectations.

Design enterprise integration and event-driven architecture solutions, establish reusable integration standards and patterns, develop canonical data models, and architect API-led and event-driven integrations. Collaborate with business and technical teams to deliver scalable, secure systems. The role requires integration architecture, EDA, APIs, microservices, and data modeling expertise; insurance experience, messaging platforms, integration tools, and cloud knowledge are preferred.

Designs and governs scalable Salesforce architectures across multiple clouds, including data models, integrations, security, DevOps, and release strategies. Translates business requirements into secure technical solutions, establishes platform standards, reviews designs and code, manages technical debt, and provides technical leadership to developers, administrators, analysts, and delivery teams. Partners with stakeholders on Agile planning, estimation, risk management, dependencies, and release readiness.

Leads end-to-end architecture and technical direction for complex Java enterprise applications and integrations. Designs resilient Spring Boot and Spring Cloud microservices, event-driven Kafka solutions, AWS cloud deployments, BPM and rules-engine workflows, and legacy or third-party integrations. Defines non-functional requirements, API contracts, data models, security and reliability strategies, and deployment approaches. Conducts architecture and code reviews, guides engineering teams, and collaborates with architects, stakeholders, product teams, and clients.

Lead an enterprise Data Governance program for a large insurance organization, serving as the executive liaison and managing strategy, roadmap, operating model, governance structures, implementation, risks, budgets, and stakeholder communications. The role requires designing governance councils and stewardship frameworks, aligning Business and IT, facilitating executive workshops, resolving ownership issues, driving organizational change, and overseeing pilot implementation across a business unit, data domain, source systems, and business processes.

Designs, develops, tests, deploys, and supports enterprise backend services, microservices, RESTful APIs, and data-driven applications using C#, .NET, SQL, and AWS. Responsibilities include database optimization, secure API development, cloud deployment, CI/CD, automated testing, production troubleshooting, monitoring, documentation, and cross-functional collaboration. The role may also integrate LLM and AI services, RAG pipelines, vector databases, messaging systems, and event-driven architectures.

Design and implement enterprise Master Data Management solutions, including MDM strategy, architecture, data models, source-of-truth systems, integrations, match and merge, survivorship, and data quality processes. Assess data and governance maturity, evaluate MDM platforms, and collaborate with business and technical stakeholders. The role requires strong Insurance Party Data Model expertise, cloud experience, SQL, Python, PySpark, ETL, and MDM platform knowledge.

Supports Salesforce sales pursuits in the insurance domain by leading discovery, solution architecture, client workshops, demos, proposals, estimates, RFP responses, and executive presentations. Designs solutions using Salesforce clouds, Data Cloud, AI, and automation for policy, claims, distribution, and customer engagement processes. Develops accelerators, demos, sales collateral, thought leadership, and industry use cases while collaborating with delivery teams to ensure feasibility.

Design and deliver scalable insurance solutions using the InsureMO platform, APIs, microservices, and middleware. Lead integrations supporting policy administration, claims, billing, and distribution systems for MGAs. Integrate AI/ML capabilities for underwriting, claims, fraud detection, and customer engagement. Provide technical leadership, define architecture standards, translate business requirements, and collaborate with enterprise architects, product teams, developers, and stakeholders.