Full Stack Web Engineer

Summary

Privia Health is a technology-driven, national physician enablement company that collaborates with medical groups and health systems. They are seeking a Full Stack Web Engineer to build high-performing, scalable, cloud-native applications while expanding their AI capabilities and ensuring robust operations.

Responsibilities

• End-to-End Automation Engineering: Design, build, and maintain our core automated workflow engine, ensuring seamless orchestration between web apps, RPA pipelines, and data models
• AI Expansion: Partner with product and data teams to transition prototypes, internal automation tools, and predictive models into robust, scalable, production-ready product features
• High-Availability Scaling: Ensure high-volume, low-latency performance for backend worker queues, mission-critical systems, and cloud infrastructure
• Modern Workflows: Excel within an advanced engineering environment by leveraging integrated AI-assisted development platforms (GitLab and the Gemini ecosystem) to accelerate coding velocity, conduct code reviews, and automate comprehensive test suites
• Mentorship & Collaboration: Support (and be supported by) other team members, especially earlier-career developers, in a strong culture of mentorship

Skills

• 3+ years of experience building full-stack web applications, including complex API integrations and background job processing, with the following core technologies: Server: Python or Ruby on Rails; Storage: SQL databases (MySQL, PostgreSQL, Snowflake); Frontend: HTML5, CSS3, and modern JavaScript (Node, React, etc)
• Automation Ecosystem Awareness: Practical exposure to or engineering experience with automation tools (either building automated agents, integrating RPA bots, or working with Document Intelligence/IDP tools)
• Cloud Experience: Hands-on experience developing, deploying, and monitoring scalable applications within a major Public Cloud environment (AWS, GCP, or Azure)
• AI-Augmented Development: Demonstrated experience integrating AI development assistants into your daily coding workflow to increase velocity and code quality. These tools could include prompt engineering, skills.md, multi-agent orchestration, RAG use cases
• Full-Stack Capability: Proven ability to build out a complete vertical slice of a product (both frontend and backend) given a feature specification or mockup
• Must comply with HIPAA rules and regulations
• Must provide accessibility to a private, quiet workspace with high-speed internet to effectively work remotely
• Must be willing and able to communicate with the team via webcam, webconf, and phone
• Experience building AI Agents (openClaw, UIPath, Gemini AI Studio)
• Direct experience with specific Document Intelligence APIs (e.g., Azure Document Intelligence, AWS Textract, Google Cloud Document AI)
• Experience handling complex state machines, message brokers (RabbitMQ, Redis, Kafka, PubSub)
• Experience with Cloud-native tools (Docker, Kubernetes, CI/CD pipelines)

Qualifications

Must Haves

• 3+ years of experience building full-stack web applications, including complex API integrations and background job processing, with the following core technologies: Server: Python or Ruby on Rails; Storage: SQL databases (MySQL, PostgreSQL, Snowflake); Frontend: HTML5, CSS3, and modern JavaScript (Node, React, etc)
• Automation Ecosystem Awareness: Practical exposure to or engineering experience with automation tools (either building automated agents, integrating RPA bots, or working with Document Intelligence/IDP tools)
• Cloud Experience: Hands-on experience developing, deploying, and monitoring scalable applications within a major Public Cloud environment (AWS, GCP, or Azure)
• AI-Augmented Development: Demonstrated experience integrating AI development assistants into your daily coding workflow to increase velocity and code quality. These tools could include prompt engineering, skills.md, multi-agent orchestration, RAG use cases
• Full-Stack Capability: Proven ability to build out a complete vertical slice of a product (both frontend and backend) given a feature specification or mockup
• Must comply with HIPAA rules and regulations
• Must provide accessibility to a private, quiet workspace with high-speed internet to effectively work remotely
• Must be willing and able to communicate with the team via webcam, webconf, and phone

Nice to Haves

• Experience building AI Agents (openClaw, UIPath, Gemini AI Studio)
• Direct experience with specific Document Intelligence APIs (e.g., Azure Document Intelligence, AWS Textract, Google Cloud Document AI)
• Experience handling complex state machines, message brokers (RabbitMQ, Redis, Kafka, PubSub)
• Experience with Cloud-native tools (Docker, Kubernetes, CI/CD pipelines)

Benefits

• Medical, dental, vision, life, and pet insurance
• 401K
• Paid time off
• Other wellness programs
• Annual bonus targeted at 15%
• Employees who regularly work from home offices are eligible for expense reimbursement to offset this cost.