Insurance Product Forward Deployed Engineer – Products & Platforms
deloitteCoatesville (PA)
Insurance Product Forward Deployed Engineer – Products & Platforms
Posted today
deloitteCoatesville (PA)
SENIORITY
Manager
About the role
Overview:
In this role you will work closely with strategic financial services clients to understand complex technical challenges and design production-ready solutions on the ClaimBeacon platform. You will bridge engineering excellence and client collaboration, leading workshops, scoping architectures, and delivering fast proofs-of-concept. The position offers high visibility with direct influence on product direction and client value. You will combine hands-on delivery with guiding multi-cloud deployments and integration patterns.
Responsibilities:
Serve as technical point of contact for strategic client accounts Lead discovery sessions to capture client architectures and objectives Translate complex concepts for technical and non-technical audiences Collaborate with client and internal teams to design scalable solutions Advise on microservices architecture, event-driven systems, and cloud-native patterns Review client designs, identify risks, and suggest best practices Prototype and build proofs-of-concept demonstrating platform value Deliver polished demos tailored to client technology stacks Develop reusable demo assets and reference implementations Facilitate deep-dive workshops, hackathons, and onboarding bootcamps Produce technical documentation, runbooks, and integration guides Accelerate client time-to-value by enabling independent delivery Voice of the customer to surface gaps and feature requests Partner with Sales, Solutions Architecture, and Product on go-to-market strategy
Key requirements:
Deep expertise in Java and Spring Boot, including production-grade microservices Strong understanding of event-driven architecture (Kafka, event sourcing, CQRS, async messaging) Hands-on microservices design principles (decomposition, API design, resiliency, observability) Proficiency across multi-cloud environments, AWS primary; Azure and GCP knowledge Familiarity with containerization/orchestration (Docker, Kubernetes) Exposure to Agentic AI frameworks and LangGraph/LangChain or similar Understanding of LLM integration patterns and AI-powered design Staying current with AI/ML landscape and client use cases Exceptional communicator capable with senior technical and C-suite stakeholders Strong facilitation for workshops, design reviews, and sessions Self-directed, organized, able to manage multiple engagements Bias for building and delivering demos over slideware Exceptional communication Strong facilitation Client-facing relationship building Java Spring Boot Kafka
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