Backend Engineer (India/Remote)

Sarah Smith Fund

Northern (KY)

Hybrid

USD 140,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Remote-first culture

Direct access to founders

Professional development budget

Autonomy over technical decisions

Meaningful impact on mental health

Job summary

Soulside AI is seeking a Backend Engineer to join the core team and shape the architectural direction of a healthcare AI platform. You will design scalable backend systems that process sensitive clinical data, work with distributed architectures for real-time patient interactions, and contribute to AI-driven tools that improve patient outcomes.

As an early engineering hire, you will own major features end-to-end from architecture to deployment, collaborate with founders and clinical teams, and

Qualifications

5+ years of software engineering experience.
Deep expertise in Spring Boot and Java ecosystem.
Proficiency with Prometheus and Grafana for dashboards.
Strong AWS experience including EC2, ECS/EKS and auto-scaling.
Experience with distributed systems, messaging queues and streaming (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.
Security engineering background with Spring Security, RBAC, and HIPAA compliance.
Experience translating complex domain workflows into backend logic.

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

Spring Boot

Java ecosystem

Distributed systems

Observability

AWS

Security engineering

Tools

Prometheus

Grafana

AWS (EC2, ECS/EKS)

Kafka

SQS

Kinesis

Spring Security

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

5+ 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