Epic AI Lead Developer/Architect

Red Bridge is actively interviewing for an Epic AI Software Developer Lead role. This is a 6-month W2 contract-to-hire remote position.

No 3rd parties or C2C inquires.

Responsibilities

• Follows company software development lifecycle to design, code, configure, test, debug, and document system and application programs.
• Assists in preparing technical design specifications based on functional requirements and analysis documents.
• Reviews functional requirements, analysis and design documents and provides feedback.
• Collaborates with other development staff to achieve quality and consistency.
• Participates in architecture, design and code reviews.
• Develops and maintains operational and system level documentation.

Requires deep knowledge of Epic and the AI solutions to be integrated within EPIC for seamless user experience.

Top Qualifications:

• Architecture & System Design: Design scalable, secure, resilient cloud applications with a strong understanding of distributed systems, APIs, microservices, integration patterns, and software architecture fundamentals.
• Healthcare domain expertise . Recent experience on Healthcare and EHR specifically Epic. Epic certified
• Cloud Architecture: Deep experience designing and implementing cloud solutions, preferably Microsoft Azure . Experience with AWS or GCP is also valuable.
• Infrastructure as Code: Strong experience with Infrastructure as Code and cloud provisioning using technologies such as Bicep, Terraform, ARM, or equivalent tools .
• Software Engineering & Git: Strong software engineering fundamentals and a deep understanding of Git , branching strategies, pull requests, code reviews, versioning, and collaborative development practices.
• CI/CD & DevOps: Design and implement automated CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab, Jenkins , or similar platforms, with an emphasis on automated, repeatable, and reliable software delivery.
• Containers & Cloud-Native Platforms: Hands-on experience with Docker and Kubernetes , including containerized application architecture, deployment, scaling, networking, and operational considerations.
• Data & Application Platforms: Strong experience with relational and distributed data technologies such as PostgreSQL, MySQL, Redis , and Databricks , with an understanding of data architecture, performance, scalability, and integration.
• Observability, Security & Production Operations: Design systems for production from the start, with strong understanding of observability, application performance, logging, metrics, tracing, alerting, security, and operational resilience . Experience with technologies such as Grafana, Azure Application Insights, Azure Log Analytics, OpenTelemetry (OTel) , or similar platforms is preferred. Understand how to diagnose, monitor, secure, and operate distributed systems in production.
• Generative AI & AI-Assisted Development: Actively leverage GenAI tools to accelerate coding, testing, documentation, troubleshooting, and solution development. Experience building or integrating GenAI-powered applications is strongly preferred. AI should be used as a productivity multiplier—not a substitute for engineering judgment, architectural thinking, or technical ownership.
• Product & Technical Ownership: Maintain end-to-end ownership of the products and systems you architect. Balance AI-assisted development speed with sound engineering practices, security, scalability, maintainability, and overall product outcomes. Be comfortable moving between high-level architecture and hands-on implementation when needed.