Founding Backend Engineer for AI Health Platform

Soulside, Inc.; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Salary with equity

Direct access to founders

Professional development budget

Autonomy over technical decisions

Meaningful impact on mental health at

Scale

Job summary

Soulside, Inc. is seeking a Backend Engineer to join the core team and build scalable backend systems that securely process clinical healthcare data.

You will influence architectural decisions, drive real‑time processing, and shape the platform's direction with high impact on patient outcomes. As an early engineering hire, you will own major features end-to-end, work with founders on system design, and help define the infrastructure that powers our AI-driven behavioral health platform.

Qualifications

• 2+ years of software engineering experience.
• Deep expertise in Spring Boot and Java ecosystem for building production-grade applications.
• Proficiency in monitoring and observability tools, specifically Prometheus and Grafana for creating dashboards and alerts.
• Strong experience with AWS services including provisioning and managing auto-scaling policies, EC2, ECS/EKS.
• Proven expertise in architecting scalable distributed systems using message queues and streaming platforms (SQS, Kafka, Kinesis).
• Experience implementing data reliability patterns including redundancy, circuit breakers, retry mechanisms, and graceful failure handling.
• Hands‑on experience with LLM technologies including prompt engineering, usage monitoring, and quality metrics.
• Strong security engineering background with Spring Security, implementing RBAC, and healthcare compliance standards.
• Experience with process modeling and translating complex domain workflows into backend logic.
• Demonstrated ability to build systems that handle asynchronous workloads at scale.
• Experience with event-driven architectures and microservices patterns.
• Ability to thrive in a fast-paced startup environment.
• Excellent communication and collaboration abilities.

Responsibilities

• Architect and develop core backend services using Spring Boot that power our AI-driven platform.
• Design and implement comprehensive monitoring, alerting, and observability infrastructure using Prometheus and Grafana.
• Configure and manage AWS scaling policies to ensure system reliability and cost optimization.
• Build distributed systems leveraging message queues and streaming platforms (SQS, Kafka, Kinesis) for high-volume asynchronous workloads.
• Implement robust data reliability strategies including redundancy, failure handling, and disaster recovery.
• Design and optimize LLM integration pipelines, including prompt engineering, usage monitoring, and quality assurance.
• Establish security best practices using Spring Security, implement RBAC, and ensure HIPAA compliance.
• Model and optimize complex clinical and operational workflows, translating domain requirements into well-structured, maintainable backend processes.
• Make foundational technical decisions that will scale as we grow from startup to industry leader.
• Collaborate directly with founders and clinical teams to translate healthcare needs into scalable technical solutions.
• Own major product features end-to-end, from architecture to deployment.

Skills

Distributed systems design

Backend architecture

Asynchronous workloads

Security engineering

Problem solving

Communication

Startup environment adaptability

Tools

Spring Boot

Java ecosystem

Prometheus

Grafana

AWS

SQS

Kafka

Kinesis

Spring Security

RBAC

HIPAA compliance

LLM tooling

Terraform

Job description

Soulside, Inc. is seeking a Backend Engineer to join the core team and build scalable backend systems that securely process clinical healthcare data.

You will influence architectural decisions, drive real‑time processing, and shape the platform's direction with high impact on patient outcomes. As an early engineering hire, you will own major features end-to-end, work with founders on system design, and help define the infrastructure that powers our AI-driven behavioral health platform.