Backend Engineer (SF/On-site) San Francisco

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

About Soulside

Soulside AI is transforming how behavioral health organizations operate, unlocking massive efficiency gains through AI. Our platform cuts documentation time by 80%—turning 3+ hours of daily paperwork into 30 minutes—so these organizations can focus resources on patient care, growth, and innovation. The impact is immediate: better outcomes, reduced costs, and the ability to serve more patients without adding administrative overhead.

We're scaling fast and building the infrastructure that will power mental healthcare for decades. This is your chance to join as a founding engineer and shape a platform that every behavioral health organization will depend on. You'll build technology that directly improves millions of lives while capturing an enormous market opportunity. The timing is perfect, the problem is real, and the upside is massive.

Why this role matters:

• Shape the technical foundation of a company revolutionizing mental health care

• Work directly with founders on architecture decisions that will scale with our growth

• Build distributed systems handling clinical healthcare data using Spring Boot & Kafka

• Own major features end-to-end with full accountability for outcomes

Our momentum speaks for itself:

Backed by Counterpart Ventures, GreyMatter Capital, Sarah Smith Fund & Kaya Ventures
UCSF Rosenman Healthtech Innovator 2024
OneMind Accelerator 2024 & PeakXV Spark Program
Global Top 10 - Confluent Data Streaming Challenge

The Role

We're seeking a Backend Engineer to join our core team as we build technology that transforms behavioral health care. As one of our early engineering hires, you'll have outsized impact on our technical architecture, product direction, and company culture. You'll be responsible for designing and implementing scalable backend systems that process sensitive healthcare data, working with distributed architectures that support real-time patient interactions, and contributing to AI-driven clinical tools that directly impact patient outcomes.

This is a unique opportunity to shape the technical foundation of a company that's revolutionizing mental health care, with significant equity upside and the autonomy to make architectural decisions that will scale with our growth.

What You'll Do

• 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.

Who You Are

• Systems Thinker: You naturally reason about distributed systems, failure modes, and data consistency. You design for what goes wrong, not just what goes right.

• Reliability-Focused: You believe monitoring and alerting aren't afterthoughts—they're core engineering deliverables. You sleep better when dashboards are green and alerts are actionable.

• Problem Solver: You are resourceful and can architect smart solutions when faced with complex, non-standard requirements or scaling challenges.

• Ownership Mindset: You are happy to roll up your sleeves to handle both high-level architecture decisions and the critical operational details that keep a production system running.

Required Qualifications

• 2+ years of software engineering experience

• Deep expertise in Spring Boot framework 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

Bonus Points

• Experience in audio/signal processing

• Domain-Driven Design (DDD) experience and principles

• Advanced Confluent Kafka platform expertise

• Infrastructure as Code experience with Terraform

• Experience with additional cloud platforms (GCP, Azure)

• Background in real-time systems or media processing

• Healthcare technology or HIPAA compliance experience

• Experience with AI/ML model deployment and monitoring

• Open source contributions

What We Offer

• Salary range of $180,000–$250,000, plus equity with significant upside potential as a founding team member

• Comprehensive health, dental, and vision insurance

• Direct access to founders and influence on company direction

• Professional development budget and conference attendance

• Modern tech stack and complete autonomy over technical decisions

• Opportunity to build something meaningful that impacts mental health at scale