Key Responsibilities Client Engagement & Technical Advisory + Serve as the primary technical point of contact for strategic client accounts, building deep relationships with architects, engineers, and technical leaders + Lead discovery sessions to understand client architectures, pain points, and business objectives + Translate complex technical concepts into clear, compelling narratives for both technical and non-technical audiences Solution Design & Architecture + Collaborate with client architects and internal engineering teams to design scalable, production-ready solutions + Provide authoritative guidance on microservices architecture, event-driven systems, and cloud-native deployment patterns + Review and advise on client system designs, identifying risks and recommending best practices Proof of Concepts & Demos + Rapidly prototype and build POCs that demonstrate platform value in the context of a client's real-world use cases + Own and deliver polished, technically rigorous demos tailored to the client's specific technology stack and business domain + Maintain a library of reusable demo assets and reference implementations Workshops & Enablement + Design and facilitate deep-dive technical workshops, hackathons, and onboarding bootcamps for client engineering teams + Produce high-quality technical documentation, runbooks, and integration guides + Accelerate client time-to-value by enabling their teams to build confidently and independently Feedback & Internal Collaboration + Act as the voice of the customer - surface product gaps, integration friction, and feature requests to internal product and engineering teams + Partner with Sales, Solutions Architecture, and Product to shape the technical go-to-market strategy The successful candidate will possess Core Technical Skills + Deep expertise in Java and Spring Boot, including building production-grade microservices + Strong understanding of event-driven architecture - Kafka, event sourcing, CQRS, async messaging patterns + Hands-on experience with microservices design principles: service decomposition, API design, resiliency patterns, observability + Proficiency across multi-cloud environments, with AWS as a primary platform; working knowledge of Azure and GCP + Familiarity with containerization and orchestration (Docker, Kubernetes) Emerging Technology + Exposure to Agentic AI frameworks and tooling - including LangGraph, LangChain, or similar orchestration frameworks + Practical understanding of LLM integration patterns, prompt engineering, and AI-powered application design + Interest in staying current with the rapidly evolving AI/ML landscape and translating it into client-relevant use cases Soft Skills & Presence + Exceptional communicator - able to lead technical conversations with senior engineers and C-suite stakeholders alike + Strong facilitation skills for running workshops, design reviews, and working sessions + Self-directed, highly organized, and comfortable managing multiple client engagements simultaneously + Natural curiosity and a bias for building - you'd rather spin up a demo than write a slide about one Additional Key Experience + Experience with CI/CD pipelines and DevSecOps practices + Contributions to open-source projects or public technical content (talks, blogs, repos) + Prior experience in a startup or high-growth SaaS environment + Relevant cloud certifications (AWS Solutions Architect, GCP Professional, etc.) Required Qualifications + 8+ years of software engineering experience, with significant time spent in client-facing, solutions engineering, or field engineering roles; background in financial services (banking, capital markets, payments, insurance, or fintech) strongly preferred + Bachelor's Degree in Engineering, Business, or equivalent field; Advanced Degree is a plus - equivalent work experience may act as a substitute for degree requirements + Ability to travel 20-30%, on average, based on the work you do and the clients and industries/sectors you serve + Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. This role is focused on Insurance Growth Suite, a managed composable insurance platform that helps personal and commercial lines insurance carriers launch new digital product propositions and services and transform the digital customer and Claim Adjustors experience.