Senior Full Stack Java Engineer

YIELD SOLUTIONS GROUP LLC•Centennial, CO

2d•$150,000 - $170,000•Onsite

About The Position

Yield Solutions Group processes thousands of auto refinance applications monthly across 30+ lending partners. The systems supporting this volume handle sensitive financial data, operate under regulatory constraints, and require reliable performance under load. This is a senior individual contributor role with a front-end emphasis and full architectural ownership. The engineer will contribute to and be accountable for architectural decisions, design systems for other engineers to build within, set coding standards, and serve as an escalation point for complex technical challenges. The role emphasizes AI-assisted development as a core engineering discipline, expecting engineers to work at spec-driven and agentic levels, and to mentor others in these practices. The engineer will shape requirements before implementation, identify architectural problems early, and resolve technical blockers independently, leveraging technical judgment and clear architectural decisions rather than direct reports for influence.

Requirements

7+ years of professional software development with deep production experience in both Java Spring Boot and React.
Demonstrated ownership of architectural decisions in a microservices environment.
Expert-level TypeScript proficiency in a production codebase, including advanced type system patterns and the ability to set TypeScript conventions for a team.
Deep command of microservices architecture: service decomposition, inter-service communication patterns, distributed system failure modes, API contract design, and versioning strategy.
Proven track record of designing and shipping complex, interactive front-end features at scale in React, including advanced state management patterns.
REST API design ownership at the architecture level: error handling, authentication, pagination, rate limiting, versioning, and backward-compatibility management across multiple consuming services.
Production experience with both Postgres and MariaDB, including query optimization, schema design, and migration strategy in systems that cannot tolerate downtime.
AWS experience at the architecture level: selecting services, designing for resilience, and understanding cost and performance tradeoffs.
Terraform proficiency sufficient to design, review, and modify infrastructure definitions.
Unit and integration testing ownership: coverage standards, test architecture decisions, and the ability to assess and improve a team's testing posture.
CI/CD pipeline design and ownership, including build optimization and deployment strategy.
Datadog or equivalent observability platform at the architecture level: instrumentation design, distributed tracing strategy, alerting framework, and SLO definition.
Production-level AI-assisted development practice at the spec-driven and agentic levels of the Nate B Jones five levels framework.
Cross-browser compatibility expertise and front-end performance optimization at the architecture level.
WCAG 2.1 accessibility fluency, with a demonstrable track record of setting and enforcing standards across a team's output.
Comfortable setting technical direction in an agile environment with short cycles and competing priorities.

Nice To Haves

Experience in auto lending, auto refinancing, or consumer credit.
Hands-on experience with loan origination systems, credit decisioning platforms, or lending infrastructure.
A track record of building or maintaining third-party API integrations in a platform-based product architecture.
Experience working directly with external partners or B2B clients in a product-led organization, where integrations carry contractual or SLA implications.
Familiarity with Nate B Jones' five levels of AI coding framework, or equivalent structured thinking about AI delegation, spec-driven workflows, and agentic development practice.

Responsibilities

Own architectural decisions for complex, cross-service features, taking accountability for outcomes and fixing any issues.
Set and enforce front-end and full stack standards across the team, including React component architecture, TypeScript patterns, state management, API contract design, test coverage, and AI engineering practices.
Conduct authoritative code reviews evaluating architectural fit, service boundary integrity, performance, security, and correctness, including AI-generated code.
Apply and model the delegation model from Nate B Jones' five levels framework, deciding which tasks to delegate to AI agents and at what autonomy level.
Raise architectural concerns during sprint planning, design reviews, and roadmap discussions to proactively address potential production problems.
Mentor Full Stack Java Engineers and earlier-career engineers on technical fundamentals and AI engineering practices.
Design and build complex, interactive user-facing features in React and TypeScript that perform correctly at scale.
Author structured spec files defining problem scope, constraints, acceptance criteria, and edge cases before implementation.
Craft prompts and AI agent instructions with engineering precision, decomposing problems clearly and iterating based on output.
Design REST APIs and inter-service contracts across the microservices architecture, ensuring stability, versioning, and backward compatibility.
Manage complex application state with clear, documented rationale.
Write unit and integration tests as part of the development cycle, ensuring coverage and testability are part of the definition of done.
Resolve architectural blockers independently.
Use Datadog to monitor service health, trace requests, identify bottlenecks, and build alerting.
Profile and improve front-end performance with measurable targets.
Meet and enforce WCAG 2.1 accessibility standards.
Advance the team's AI-assisted development practice, staying ahead of evolving tooling and frameworks.
Identify architectural technical debt with material velocity impact, build business cases for remediation, and own the plan to completion.
Collaborate with product and design upstream of implementation to shape requirements and surface constraints.
Work with DevOps on Terraform-managed infrastructure design, CI/CD pipeline architecture, environment parity, and production stability.
Hold AI-generated code to the same security and compliance bar as any other code.
Establish documentation standards for systems under architectural ownership.