Staff Software Engineer, Appointment Management
Zocdoc
AWSJavaScriptMicroservicesNode.jsReactScala
Principal Engineer, Full-Stack, Agentic AI
Saviynt
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $215,000 - $280,000 per year
Job Level
Lead
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsReactSpringTypeScript
About the role
- Lead requirements analysis, software architecture, and design for full-stack systems infused with agentic AI components.
- Develop scalable, secure cloud-native (AWS/Azure/GCP) services combining REST/microservices, modern frontend frameworks, and AI-driven decision logic.
- Implement autonomous modules capable of planning, proactive actuation, and continuous learning.
- Integrate explainability, feedback loops, and safe-guard mechanisms into agentic behaviors.
- Drive best practices in coding standards, code reviews, automated testing, CI/CD, and DevOps workflows.
- Mentor and lead engineers in building trustworthy, agentic systems while championing Agile/Scrum methodologies.
- Collaborate cross-functionally to align AI behaviors with security, privacy, UX, and compliance goals.
- Document development lifecycle, maintain existing services, and originate new agentic capabilities.
Requirements
- 12+ years in software engineering including backend: Java/Spring or Node.js, REST, microservices, and containerization (Docker, Kubernetes)
- Frontend experience: React, TypeScript, CSS, UI component libraries, accessibility, and emerging micro-frontend architecture (preferred)
- Cloud platforms experience (AWS, Azure, or GCP), DevOps, observability, CI/CD pipelines.
- Prior involvement with AI/ML systems, ideally including autonomous or agentic behavior design, prompt engineering, reinforcement learning, or rule-based reasoning systems.
- Comfortable balancing reactive and proactive systems and integrating human-in-the-loop control and transparency.
- Leadership & Domain Knowledge Proven record leading engineering teams—planning, mentoring, delivering complex enterprise solutions.
- Excellent communication and consensus-building skills; able to explain sophisticated AI behavior clearly.
- Proactive, customer-centric mindset: able to ask “what could this agent do next?” rather than simply “what did the user ask?”
- Familiarity with Identity Governance & Administration (IGA), Privileged Access Management (PAM), or Connector frameworks is a strong plus
- Soft Skills & Qualifications Adaptability in fast-paced, changing environments.
- Keen attention to ethical and responsible AI practices, especially around autonomy and security.
- Bachelor’s or Master’s degree in CS, Engineering, or equivalent experience.
