Senior Full-Stack Engineer – AI-Powered Healthcare Platform

Calliere Group

Senior Full-Stack Engineer developing AI-driven automation solutions for clinical laboratories. Collaborating on cloud infrastructure and on-premises AI hardware deployment.

Posted 6/15/2026full-timeRemote • 🏈 Anywhere in North AmericaSenior💰 $180,000 - $260,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDockerEC2GrafanaJavaScriptKubernetesNoSQLPrometheusPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Design and build REST APIs and web applications for cloud services and on-site device configuration, monitoring, and management
Develop intuitive management UIs for both cloud-based workflows and local hardware deployment
Architect backend services that bridge cloud (AWS) and on-premises AI compute environments
Design low-latency database schemas covering job tracking, results storage, audit logging, and device management
Build and maintain containerized AI inference pipelines deployed on both cloud and dedicated GPU hardware
Implement end-to-end observability (telemetry, logging, alerting) across distributed environments
Identify and resolve performance bottlenecks in inference pipelines and large binary data workflows
Ensure software meets regulatory compliance standards (FDA 21 CFR Part 11/820, SOC2)
Partner closely with ML Engineering and Research teams to bring models into production
Contribute to design reviews, architecture discussions, and incident response rotations
Produce technical documentation for API specs, deployment guides, and regulatory submissions

Requirements

What you’ll need

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent
5–7 years of professional software development experience
4+ years building and operating REST APIs and backend services in production
3+ years in AI/ML application development, including deploying and optimizing inference services
4+ years with Python and TypeScript/JavaScript across backend and frontend
3+ years with AWS (EC2, S3, EKS, ECR, Lambda, CloudWatch)
3+ years with Docker and Kubernetes, including edge or on-prem deployments
3+ years with SQL and NoSQL database design
2+ years developing software in regulated environments (FDA and/or SOC2)
Experience with observability tooling (Prometheus, Grafana, DataDog, or similar)
Strong grasp of DevOps practices and CI/CD pipelines
Frontend experience with React or similar frameworks
Comfort with ambiguity and a bias toward shipping in a startup environment.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Calliere Group Website LinkedIn All Job Openings 1 - 10 employees Founded 2008 🤝 B2B 🎯 Recruiter B2B
Recruitment
IT Recruitment Calliere Group is a boutique organization that specializes in executive search, talent acquisition, and advisory services, primarily focused on the technology and professional services sectors. With a team composed of experts with Fortune 500 experience, they provide tailored and collaborative solutions designed to align organizational needs with top-level talent, ensuring outstanding business outcomes for their clients. Senior Full-Stack Engineer – AI-Powered Healthcare Platform Job not on LinkedIn 🔥 8 minutes ago 🏈 North America – Remote 💵 $180k - $260k / year ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer AWS Cloud Docker EC2 Grafana JavaScript Kubernetes NoSQL Prometheus Python React SQL TypeScript Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design and build REST APIs and web applications for cloud services and on-site device configuration, monitoring, and management
Develop intuitive management UIs for both cloud-based workflows and local hardware deployment
Architect backend services that bridge cloud (AWS) and on-premises AI compute environments
Design low-latency database schemas covering job tracking, results storage, audit logging, and device management
Build and maintain containerized AI inference pipelines deployed on both cloud and dedicated GPU hardware
Implement end-to-end observability (telemetry, logging, alerting) across distributed environments
Identify and resolve performance bottlenecks in inference pipelines and large binary data workflows
Ensure software meets regulatory compliance standards (FDA 21 CFR Part 11/820, SOC2)
Partner closely with ML Engineering and Research teams to bring models into production
Contribute to design reviews, architecture discussions, and incident response rotations
Produce technical documentation for API specs, deployment guides, and regulatory submissions 🎯 Requirements
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent
5–7 years of professional software development experience
4+ years building and operating REST APIs and backend services in production
3+ years in AI/ML application development, including deploying and optimizing inference services
4+ years with Python and TypeScript/JavaScript across backend and frontend
3+ years with AWS (EC2, S3, EKS, ECR, Lambda, CloudWatch)
3+ years with Docker and Kubernetes, including edge or on-prem deployments
3+ years with SQL and NoSQL database design
2+ years developing software in regulated environments (FDA and/or SOC2)
Experience with observability tooling (Prometheus, Grafana, DataDog, or similar)
Strong grasp of DevOps practices and CI/CD pipelines
Frontend experience with React or similar frameworks
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Hard Skills & Tools

REST APIsbackend servicesAI/ML application developmentPythonTypeScriptJavaScriptAWSDockerKubernetesSQL

Soft Skills

communicationcollaborationproblem-solvingtechnical documentationdesign reviewsarchitecture discussionsincident responsecomfort with ambiguitybias toward shipping