Java Full Stack Developer

Valiant Technologies LLC; Denver (CO); On-site; USD 120,000 - 170,000; Full time

Job summary

Valiant Technologies LLC in Denver seeks a hands-on Platform Engineer with strong full stack, AI engineering, and software-architecture skills to design, develop, deploy, and support scalable, secure, and reliable applications. You will own APIs and platform services end-to-end, build self-service portals and automation, integrate services, and implement CI/CD, security, and operational readiness.

You will also develop AI agents and retrieval-augmented workflows grounded in architecture

Qualifications

• Hands-on development with Java, Python, or C#/.NET.
• Experience with React, Angular, or TypeScript frontends.
• Own production apps from design to maintenance.
• Experience with APIs, distributed systems, data access.
• Experience with AI/LLM-enabled apps and automation.

Responsibilities

• Design, develop, test, and operate APIs, backends, web apps, and platform services.
• Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of platform capabilities.
• Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.
• Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.
• Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness.
• Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.
• Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.
• Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.
• Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.
• Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.
• Automate architecture-review feedback and remediation tracking within developer workflows.

Skills

Java

Python

C#/.NET

React

Angular

TypeScript

API design

Kubernetes

Docker

CI/CD

AI/LLM-enabled apps

Security best practices

SQL/NoSQL data access

Tools

Docker

Kubernetes

CI/CD tooling

Job description

We are seeking a hands-on Platform Engineer with strong Full Stack Development, AI Engineering, and Software Architecture skills to design, develop, deploy, and support scalable, secure, and reliable applications.

Key Responsibilities:

• Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms. Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities.
• Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools.
• Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization.
• Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness. AI Engineering and Intelligent Automation
• Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning.
• Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge.
• Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate.
• Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost.
• Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior.
• Automate architecture-review feedback and remediation tracking within developer workflows.

Required Qualifications:

• Strong hands-on software development experience using Java, Python, C#/.NET, or comparable backend technologies.
• Experience developing user interfaces with React, Angular, TypeScript, or an equivalent modern framework.
• Demonstrated ownership of production applications or platform services, from design through operational support.
• Experience designing APIs, distributed systems, asynchronous integrations, and relational or NoSQL data access.
• Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation.
• Experience with containers, Kubernetes or equivalent platforms, CI/CD, and infrastructure/configuration as code.
• Strong understanding of authentication, authorization, secrets management, secure coding, and data protection.
• Ability to diagnose application, database, network, and dependency-related performance or reliability issues.
• Strong collaboration skills and the ability to explain technical decisions and trade-offs to diverse stakeholders.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.