Backend Engineer

Likely ghost job

🕒 March 26

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 68%

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Logo of Soulside AI

Soulside AI

51 - 200 employees

💼 Consulting

📣 Marketing

🏥 Healthcare

💰 $2.9M Seed on 2024-02

Consulting • Marketing • Healthcare

Soulside AI is an AI-driven SaaS platform built specifically for behavioral health providers that automates clinical documentation, compliance, revenue cycle management, and attendance for individual and group sessions. The system uses patent-pending speaker recognition and advanced audio processing to create accurate, per-participant notes, integrates with any EHR for one-click note transfer, and provides real-time clinical and operational analytics while maintaining HIPAA-compliant, zero-audio-storage security. Designed for B2B deployment in treatment facilities (mood disorders, substance use, eating disorders and similar programs), Soulside AI emphasizes rapid implementation, measurable time savings, and hands-on support for adoption and compliance.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Significant equity package with high upside potential as a founding team member • Competitive salary commensurate with senior engineering roles • Comprehensive health, dental, and vision insurance • Flexible work arrangements with remote-first culture • 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

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