ConvergeProsperity - Product Forward Deployed Engineer, Insurance Growth Suite (Manager) - Products & Platforms
$134.5k - $265.1kDeloitte LLP
The Team Are you looking for a unique opportunity with both start-up spirit AND enterprise strength? Deloitte's Converge for FSI business offers both! We are looking for a talented individual with an innovative mindset to join the Converge for FSI team in our mission to develop differentiated financial services products that achieve product-market fit. 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. This is a great opportunity to be on the frontlines of Deloitte's innovation and product strategy while staying close to industry/sector priorities. Recruiting for this role ends on 11/06/2026. Work you'll do We are looking for a highly skilled and client-facing Forward Deployed Engineer (FDE) to sit at the intersection of engineering excellence and customer partnership. In this role, you will embed directly with our most strategic clients - particularly in the financial services sector - to understand their toughest technical challenges and help them design and implement world-class solutions using our platform. This is a high-impact, high-visibility role with direct influence on product direction. You are equally comfortable whiteboarding microservices architecture with a client's principal engineer, running a hands-on technical workshop for a team of developers, and standing up a compelling proof-of-concept in days. You thrive in fast-moving, high-stakes environments and know how to earn the trust of deeply technical stakeholders. 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
- 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
- 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
- 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
- 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
- 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)
- 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
- 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
- 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.)
- 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
Vacancy posted 4 days ago
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