We are hiring a Lead Engineer/Architect (. NET), a hands-on technical leader who will accelerate the build-out of the next generation of our online banking platform for US banks and credit unions on ASP. NET Core and C#. You will spend a significant portion of your time writing production code and owning architecture while also mentoring engineers and setting the technical bar. You will partner day-to-day with Finance Group technology leaders on product and delivery, the Embrace Technology group on shared architecture, cloud, and DevOps standards, and Venture Labs/the Embrace AI Group to bring emerging capabilities into the platform.
At its core, this is a forward-deployed engineering (FDE) practice with an AI-first, new-product mandate. You will embed with financial institutions and internal product partners, turn ambiguous problems into shipped product, and lead a small team of highly empowered, highly skilled engineers who take ideas from conceptualization to launch in weeks—not quarters. You will go full-stack from modern UX/UI through public REST APIs down to a. NET control plane and treat large language models and agentic AI services as first-class building blocks of the platform rather than bolt-ons.
Responsibilities:
- Architect and hands-on build the new ASP. NET Core/C# online banking platform; system design, service boundaries, data modeling, and API contracts.
- Design and implement critical features and platform components; lead code and design reviews, setting the technical bar.
- Lead and mentor a small agile team; run sprints, unblock engineers, own delivery commitments, coach through 1:1s, and do pair programming.
- Partner with Finance Group technology leaders, product, QA, and security to translate business and regulatory needs into robust solutions.
- Collaborate with the Embrace Technology group on shared architecture, cloud, and CI/CD standards and with Venture Labs/Embrace AI Group to embed AI capabilities (AI-assisted dev, predictive insights, and fraud/risk monitoring) into the platform.
- Drive engineering best practices, testing, CI/CD, and adoption of modern AI dev tools.
- Operate as a forward-deployed engineer; embed with internal product partners to co-design solutions, then rapidly conceptualize, prototype, and launch new products, compressing concept-to-production from quarters to weeks.
- Lead AI-first, new-product development end-to-end; design and ship LLM- and agent-powered capabilities using services such as Google Vertex AI / Gemini, OpenAI (and Azure OpenAI), and orchestration frameworks like LangChain, with disciplined evaluation, guardrails, and cost/latency management.
- Build full-stack and real-time, modern, accessible UX/UI, public REST APIs, and live experiences via SignalR on the. NET Core / C# control plane, with event-driven services through Azure Service Bus/messaging, etc.
- Own the cloud and delivery foundation; infrastructure-as-code with Terraform, CI/CD on GitHub (Actions), and containerized, repeatable deployments across Azure and/or AWS.
- Engineer security and compliance by design; identity and access management (OAuth2/OIDC, SSO, MFA), secrets management, and data protection aligned to PCI DSS, SOC 2, and FFIEC, with auditability from day one.
- Build and empower the team; recruit, coach, and unblock a small squad of progressive FDEs, giving them the autonomy, tooling, and technical bar to ship safely and fast.
Forward-Deployed and AI-First:
- Small, empowered squads: highly skilled FDEs own outcomes end-to-end, from conceptualization to launch, with minimal hand-offs.
- AI-first by default: LLMs, RAG, and agentic workflows are first-class both as design tools and as product capabilities; we prototype with AI, evaluate rigorously, and ship.
- Fast and safe: short iteration loops, trunk-based development, automated testing, infrastructure-as-code, and progressive delivery behind feature flags.
- Polyglot pragmatism: . NET / C# anchors the control plane; we use the best-fit language or service elsewhere and optimize for outcomes, not dogma.
Our Stack and Tooling:
- Control plane and services: . NET (ASP. NET Core, C#), public REST APIs, SignalR for real-time, and Azure Service Bus for messaging and eventing.
- AI and LLM: Google Vertex AI / Gemini, OpenAI / Azure OpenAI, LangChain and similar orchestration; vector stores, RAG, plus evaluation and guardrail tooling.
- Cloud and platform: Azure and/or AWS, Terraform for IaC, and GitHub + GitHub Actions for CI/CD and containers.
- Front-end: modern, accessible UX/UI (Angular / React).
- Identity, security, and compliance: IAM (OAuth2/OIDC, SSO, MFA), secrets management, PCI DSS, SOC 2, and FFIEC.
- Data: Microsoft SQL Server today, with modern data stores adopted as the platform evolves.
Requirements:
- 5+ years building modern, data-intensive . NET web applications, with a proven tech-lead/lead-developer track record and direct team ownership.
- Polyglot: Expert-level C# and . NET (Framework and modern . NET/Core); strong SQL and Microsoft SQL Server; solid REST API experience at scale.
- Proven experience in financial services / online banking, with a strong preference for platforms serving US banks, credit unions, or other regulated FIs.
- Front-end experience with modern Javascript/UI frameworks like Angular/React. Familiarity with classic frameworks like ASP. NET, Razor templates, HTMX, Bootstrap, Orchard Core, etc. is a strong plus for modernizing.
- Experience with cloud (Azure, AWS), DevOps, and CI/CD; understanding of US banking security and compliance (PCI DSS, SOC 2, FFIEC guidance).
- Strong communicator across engineering and business stakeholders (Finance Group, Embrace Technology, Venture Labs); excellent ownership and problem-solving.
- Comfortable in a highly remote, fast-paced, agile environment. Bachelor's in CS, software engineering, or a related field (or equivalent experience).
- Demonstrated 0→1 product delivery at speed; ideally in a forward-deployed, customer-embedded, or startup/venture environment.
- Hands-on AI/LLM application development: prompt and context engineering, RAG, and agentic patterns on at least one major platform (Vertex AI/Gemini, OpenAI, or Azure OpenAI) with orchestration such as LangChain and a pragmatic grasp of evaluation, guardrails, and cost.
- Real-time and event-driven experience; SignalR, Azure Service Bus, or equivalent messaging, and public REST API design at scale.
- Strong platform/DevOps depth; Terraform (IaC), GitHub Actions CI/CD, containerization, and multi-cloud (Azure and/or AWS).
- Identity, security, and compliance depth for regulated FIs: IAM/OAuth2/OIDC, SSO/MFA, secrets management, and PCI DSS/SOC 2/FFIEC.