The ad says“Experience with pipeline orchestration tools (Airflow, Prefect, Dagster, or similar)”
The ad says“2+ years of experience with AWS or Google Cloud”
The ad says“Experience with Firestore, BigQuery, or other GCP data services”
The ad says“Familiarity with containerization, cloud-native deployment patterns, and common architectural patterns for scalable systems”
The ad says“Familiarity with containerization, cloud-native deployment patterns, and common architectural patterns for scalable systems”
The ad says“Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS)”
The ad says“Experience with pipeline orchestration tools (Airflow, Prefect, Dagster, or similar)”
The ad says“3+ years of experience working with large-scale distributed systems — microservices, event-driven architecture, or pipeline orchestration”
The ad says“3+ years of experience working with large-scale distributed systems — microservices, event-driven architecture, or pipeline orchestration”
The ad says“Experience with Firestore, BigQuery, or other GCP data services”
The ad says“Experience with Firestore, BigQuery, or other GCP data services”
The ad says“Proven curiosity with the latest generative AI advances and a thoughtful perspective on where AI tools help and where they don’t”
The ad says“2+ years of experience with AWS or Google Cloud”
The ad says“3+ years of experience working with large-scale distributed systems — microservices, event-driven architecture, or pipeline orchestration”
The ad says“Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS)”
The ad says“3+ years of experience working with large-scale distributed systems — microservices, event-driven architecture, or pipeline orchestration”
The ad says“Experience with pipeline orchestration tools (Airflow, Prefect, Dagster, or similar)”
The ad says“Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS)”
The ad says“Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS)”
The ad says“Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS)”
You will be joining a small team within Reveleer AI division, in charge of developing the next generation agentic model for clinical prospective suspecting
As a full stack software developer in our team, you will be working in the unique environment of a small team with large scale impact to enable the expansion of our product and fast growth of our users
Apply first-principles thinking to break down hard problems and ship durable solutions
Understand business needs and build end-to-end product experiences across the stack — backend services, data pipelines, and frontend interfaces
Develop and continually improve observability of systems and infrastructure at scale
Partner closely with clinical experts and other engineers to build highly scalable, clinically accurate systems that surface actionable insights
Challenge the status quo. If something is slow, fragile, or over-engineered, fix it
Troubleshoot, diagnose, and resolve production issues daily. Own the problem from alert to root cause to prevention
Benefits
100% paid short and long term disability
Flexible PTO and paid company holidays
Competitive medical, dental, vision
Retirement savings plan
Summer Fridays, team outings, office lunches
Preferred experience
2+ years of experience with AWS or Google Cloud
3+ years of experience working with large-scale distributed systems — microservices, event-driven architecture, or pipeline orchestration
Proven curiosity with the latest generative AI advances and a thoughtful perspective on where AI tools help and where they don’t
5+ years of experience building high-quality code and infrastructure
Hands-on experience building across the stack: backend services (Python, Node, or similar) and frontend interfaces (React, TypeScript, CSS)
Familiarity with containerization, cloud-native deployment patterns, and common architectural patterns for scalable systems
High ownership and accountability. You treat the systems you build as yours
Strong debugging instincts — you can trace a problem through multiple services, read logs, form hypotheses, and fix things under pressure without relying on an LLM to do the thinking for you
Experience with Firestore, BigQuery, or other GCP data services
Experience with pipeline orchestration tools (Airflow, Prefect, Dagster, or similar)
Experience in healthcare, clinical data, or value-based care
