BankingSuite FDE: Client-Facing Microservices Architect

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 Banking Suite, a managed composable banking platform that helps regional, universal, and community banks launch new digital product propositions & services and transform the digital customer experience.

This is a great opportunity to be on the front lines of Deloitte's innovation & product strategy while staying close to industry/sector priorities.

Recruiting for this role ends on 5/22/2026.

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 Lang Graph, Lang Chain, 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 Dev Sec Ops  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.)