Forward Deployed Engineer

Dingoblu Financial•Charlotte, NC

14d•Onsite

About The Position

We're hiring a Forward Deployed Engineer to build our banking platform and then take it into the field. This is a hybrid of product engineering and client-facing solutions work: roughly two-thirds building, one-third embedded with the partners, vendors, and internal teams who depend on what you ship. The forward-deployed part is the point. Most engineering organizations put layers between the person who writes the code and the person who has to live with it, and quality suffers in both directions. You'll close that gap. When an integration fails at a partner, you're the one who diagnoses it — not a support tier that escalates to a queue that eventually reaches engineering three days later. We also expect this person to be genuinely fluent with Claude — not as a novelty, but as core tooling. A small team competing against institutions a hundred times our size only works if each engineer's output is multiplied. You should already be building this way and be able to show us how. You'll work closely with the Senior Product Manager who owns the banking portfolio, and you'll have real influence over technical direction. We have opinions but not much legacy, which means your architectural decisions will still be standing in five years.

Requirements

5+ years building and shipping production software, with real ownership of what you shipped after it launched.
Financial services experience. You understand why a banking release is not a social app release — the regulatory constraints, the audit expectations, the consequences of a bad deploy touching real money.
Production React experience — modern hooks-based code, state management, and performance work.
Production Flutter experience shipping to both app stores, or strong native mobile experience plus a credible case that you'll pick up Flutter fast.
Hands-on AWS: you've architected, deployed, and operated services there, not just consumed them.
CI/CD ownership with GitHub Actions or a close equivalent (GitLab CI, CircleCI, Jenkins) — you've built pipelines, not just used them.
Deep, hands-on Claude experience. You use Claude Code as part of your normal workflow and you've built something real against the Claude API — not a weekend demo, but something with error handling, cost awareness, audit/observability capabilities, and a point of view about when the model should and shouldn't be trusted.
Judgment about where AI helps and where it doesn't. We want the engineer who knows which problems to point a model at, and which ones to just write the code for.
Client-facing ability. You can sit in a room with a partner's engineering team or a business stakeholder, absorb a vague problem, and leave with a clear scope.
Exceptional attention to detail, communication, and documentation. You are precise in your work, clear and direct in how you communicate, and disciplined about documenting decisions, systems, and operational context — especially when working across engineering teams, clients, and partners.
Comfort with ambiguity and thin process. You'll frequently be the person who decides how something gets done.

Nice To Haves

Integration experience with core banking platforms (Fiserv, Jack Henry, FIS, Q2, Alkami, nCino) or payment rails (ACH, Zelle, RTP, FedNow, card networks).
Fintech API work — Plaid, Marqeta, Stripe, Alloy, or similar.
Backend depth in Node, Python, Go, Java, or Kotlin.
Infrastructure as code (Terraform, CDK, CloudFormation) and containerization.
Familiarity with regulatory frameworks touching engineering — SOC 2, PCI DSS, GLBA, FFIEC guidance.
Agentic patterns beyond chat — tool use, MCP servers, multi-step workflows, or the Claude Agent SDK.
Running Claude models through Amazon Bedrock, which fits neatly with the AWS stack here.
Experience writing evals, or any rigorous approach to measuring whether an AI feature actually works.
Prior consulting, solutions engineering, or forward-deployed work at a software vendor.

Responsibilities

Build and ship our customer-facing mobile banking application in Flutter across iOS and Android.
Own the release process end to end — store submissions, staged rollouts, versioning, and the deprecation strategy for older clients.
Handle the parts of mobile banking that are genuinely hard: biometric authentication, secure local storage, session handling, offline states, and deep links from notifications.
Keep performance and app size honest on the low-end devices real customers actually carry.
Build customer-facing web banking experiences and the internal tooling our operations teams use daily.
Share logic and design language across web and mobile so the two products don't quietly diverge.
Build to accessibility standards — WCAG conformance is a regulatory expectation in consumer banking, not a nice-to-have.
Design, deploy, and operate services on AWS — compute, storage, networking, secrets, and identity.
Own infrastructure as code so environments are reproducible and auditable rather than hand-assembled.
Build for the availability and recovery expectations of a regulated financial institution, and be able to prove them to an examiner.
Watch the bill. Cloud cost discipline matters more at our size than it does at a bank that can absorb the waste.
Own the CI/CD pipelines for web, mobile, and backend services.
Build automated testing, security scanning, dependency checks, and deployment gates into the pipeline.
Maintain the change controls and audit trail that a regulated environment requires — approvals, artifacts, and release evidence.
Make shipping boring. A deployment should be an ordinary Tuesday, not an event.
Use Claude Code as a daily part of how you build — across the codebase, in your IDE, and wired into CI where it earns its place.
Hands-on experience building AI-powered product features with the Claude API.
You know how to identify high-value use cases (document processing, support workflows, fraud and dispute triage, and internal operations) and build them into reliable production systems.
Set the standard for how this team uses AI — what gets automated, what stays human, what gets reviewed before it merges, and what never touches customer data.
Write and maintain evaluations for anything AI-driven that reaches production.
Define the guardrails alongside Risk and Compliance: what data can go to a model, how outputs are logged and reviewed, and how we prove any of it to an examiner.
Embed directly with partners, vendors, and internal business teams to deploy, integrate, and troubleshoot in their environment.
Own integrations with core banking platforms, payment rails, and fintech APIs — from design through production support.
Translate partner needs into implementation plans, building what they actually need (not necessarily what or how they asked).
Bring what you learn in the field back into the roadmap.
Treat security as a design constraint, not a review stage — encryption in transit and at rest, least privilege, secrets management, secure SDLC.
Partner with Risk and Compliance on architecture decisions, vendor assessments, and audit response.
Build systems that produce the evidence an examiner will eventually ask for, before they ask for it.