{"schemaVersion":"jobsearcher.job.v1","id":"727971f9eaafba9bd33d254d","url":"https://jobsearcher.com/jobs/727971f9eaafba9bd33d254d","canonicalUrl":"https://jobsearcher.com/jobs/727971f9eaafba9bd33d254d","title":"Backend Engineer (Remote)","description":"About Soulside\nSoulside 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.\nWe'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.\nWhy this role matters:\nShape the technical foundation of a company revolutionizing mental health care\nWork directly with founders on architecture decisions that will scale with our growth\nBuild distributed systems handling clinical healthcare data using Spring Boot & Kafka\nOwn major features end-to-end with full accountability for outcomes\nOur momentum speaks for itself:\nBacked by Counterpart Ventures, GreyMatter Capital, Sarah Smith Fund & Kaya Ventures\nUCSF Rosenman Healthtech Innovator 2024\nOneMind Accelerator 2024 & PeakXV Spark Program\nGlobal Top 10 - Confluent Data Streaming Challenge\nThe Role\nWe'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.\nThis 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.\nWhat You'll Do\nArchitect and develop core backend services using Spring Boot that power our AI-driven platform\nDesign and implement comprehensive monitoring, alerting, and observability infrastructure using Prometheus and Grafana\nConfigure and manage AWS scaling policies to ensure system reliability and cost optimization\nBuild distributed systems leveraging message queues and streaming platforms (SQS, Kafka, Kinesis) for high-volume asynchronous workloads\nImplement robust data reliability strategies including redundancy, failure handling, and disaster recovery\nDesign and optimize LLM integration pipelines, including prompt engineering, usage monitoring, and quality assurance\nEstablish security best practices using Spring Security, implement RBAC, and ensure HIPAA compliance\nModel and optimize complex clinical and operational workflows, translating domain requirements into well-structured, maintainable backend processes\nMake foundational technical decisions that will scale as we grow from startup to industry leader\nCollaborate directly with founders and clinical teams to translate healthcare needs into scalable technical solutions\nOwn major product features end-to-end, from architecture to deployment\nWho You Are\nSystems Thinker: You naturally reason about distributed systems, failure modes, and data consistency. You design for what goes wrong, not just what goes right.\nReliability-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.\nProblem Solver: You are resourceful and can architect smart solutions when faced with complex, non-standard requirements or scaling challenges.\nOwnership 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.\nRequired Qualifications\n5+ years of software engineering experience\nDeep expertise in Spring Boot framework and Java ecosystem for building production-grade applications\nProficiency in monitoring and observability tools, specifically Prometheus and Grafana for creating dashboards and alerts\nStrong experience with AWS services including provisioning and managing auto-scaling policies, EC2, ECS/EKS\nProven expertise in architecting scalable distributed systems using message queues and streaming platforms (SQS, Kafka, Kinesis)\nExperience implementing data reliability patterns including redundancy, circuit breakers, retry mechanisms, and graceful failure handling\nHands-on experience with LLM technologies including prompt engineering, usage monitoring, and quality metrics\nStrong security engineering background with Spring Security, implementing RBAC, and healthcare compliance standards\nExperience with process modeling and translating complex domain workflows into backend logic\nDemonstrated ability to build systems that handle asynchronous workloads at scale\nExperience with event-driven architectures and microservices patterns\nAbility to thrive in a fast-paced startup environment\nExcellent communication and collaboration abilities\nBonus Points\nExperience in audio/signal processing\nDomain-Driven Design (DDD) experience and principles\nAdvanced Confluent Kafka platform expertise\nInfrastructure as Code experience with Terraform\nExperience with additional cloud platforms (GCP, Azure)\nBackground in real-time systems or media processing\nHealthcare technology or HIPAA compliance experience\nExperience with AI/ML model deployment and monitoring\nOpen source contributions\nWhat We Offer\nSignificant equity package with high upside potential as a founding team member\nCompetitive salary commensurate with senior engineering roles\nComprehensive health, dental, and vision insurance\nFlexible work arrangements with remote-first culture\nDirect access to founders and influence on company direction\nProfessional development budget and conference attendance\nModern tech stack and complete autonomy over technical decisions\nOpportunity to build something meaningful that impacts mental health at scale\nHow to Apply\nSend us your resume along with a brief note about what excites you about this role and any relevant projects you've worked on. We'd particularly love to hear about your experience with distributed systems, monitoring infrastructure, and any work you've done with LLMs or AI systems in production environments.","company":"Soulside Ai","rawCompany":"soulside ai","isRemote":true,"isActive":false,"createdAt":"2026-08-08T13:25:44.486Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.07","title":"Blockchain Engineers","slug":"blockchain-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Backend Engineer (Remote)","description":"About Soulside\nSoulside 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.\nWe'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.\nWhy this role matters:\nShape the technical foundation of a company revolutionizing mental health care\nWork directly with founders on architecture decisions that will scale with our growth\nBuild distributed systems handling clinical healthcare data using Spring Boot & Kafka\nOwn major features end-to-end with full accountability for outcomes\nOur momentum speaks for itself:\nBacked by Counterpart Ventures, GreyMatter Capital, Sarah Smith Fund & Kaya Ventures\nUCSF Rosenman Healthtech Innovator 2024\nOneMind Accelerator 2024 & PeakXV Spark Program\nGlobal Top 10 - Confluent Data Streaming Challenge\nThe Role\nWe'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.\nThis 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.\nWhat You'll Do\nArchitect and develop core backend services using Spring Boot that power our AI-driven platform\nDesign and implement comprehensive monitoring, alerting, and observability infrastructure using Prometheus and Grafana\nConfigure and manage AWS scaling policies to ensure system reliability and cost optimization\nBuild distributed systems leveraging message queues and streaming platforms (SQS, Kafka, Kinesis) for high-volume asynchronous workloads\nImplement robust data reliability strategies including redundancy, failure handling, and disaster recovery\nDesign and optimize LLM integration pipelines, including prompt engineering, usage monitoring, and quality assurance\nEstablish security best practices using Spring Security, implement RBAC, and ensure HIPAA compliance\nModel and optimize complex clinical and operational workflows, translating domain requirements into well-structured, maintainable backend processes\nMake foundational technical decisions that will scale as we grow from startup to industry leader\nCollaborate directly with founders and clinical teams to translate healthcare needs into scalable technical solutions\nOwn major product features end-to-end, from architecture to deployment\nWho You Are\nSystems Thinker: You naturally reason about distributed systems, failure modes, and data consistency. You design for what goes wrong, not just what goes right.\nReliability-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.\nProblem Solver: You are resourceful and can architect smart solutions when faced with complex, non-standard requirements or scaling challenges.\nOwnership 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.\nRequired Qualifications\n5+ years of software engineering experience\nDeep expertise in Spring Boot framework and Java ecosystem for building production-grade applications\nProficiency in monitoring and observability tools, specifically Prometheus and Grafana for creating dashboards and alerts\nStrong experience with AWS services including provisioning and managing auto-scaling policies, EC2, ECS/EKS\nProven expertise in architecting scalable distributed systems using message queues and streaming platforms (SQS, Kafka, Kinesis)\nExperience implementing data reliability patterns including redundancy, circuit breakers, retry mechanisms, and graceful failure handling\nHands-on experience with LLM technologies including prompt engineering, usage monitoring, and quality metrics\nStrong security engineering background with Spring Security, implementing RBAC, and healthcare compliance standards\nExperience with process modeling and translating complex domain workflows into backend logic\nDemonstrated ability to build systems that handle asynchronous workloads at scale\nExperience with event-driven architectures and microservices patterns\nAbility to thrive in a fast-paced startup environment\nExcellent communication and collaboration abilities\nBonus Points\nExperience in audio/signal processing\nDomain-Driven Design (DDD) experience and principles\nAdvanced Confluent Kafka platform expertise\nInfrastructure as Code experience with Terraform\nExperience with additional cloud platforms (GCP, Azure)\nBackground in real-time systems or media processing\nHealthcare technology or HIPAA compliance experience\nExperience with AI/ML model deployment and monitoring\nOpen source contributions\nWhat We Offer\nSignificant equity package with high upside potential as a founding team member\nCompetitive salary commensurate with senior engineering roles\nComprehensive health, dental, and vision insurance\nFlexible work arrangements with remote-first culture\nDirect access to founders and influence on company direction\nProfessional development budget and conference attendance\nModern tech stack and complete autonomy over technical decisions\nOpportunity to build something meaningful that impacts mental health at scale\nHow to Apply\nSend us your resume along with a brief note about what excites you about this role and any relevant projects you've worked on. We'd particularly love to hear about your experience with distributed systems, monitoring infrastructure, and any work you've done with LLMs or AI systems in production environments.","datePosted":"2026-08-08T13:25:44.486Z","dateModified":"2026-08-08T13:25:44.486Z","hiringOrganization":{"@type":"Organization","name":"Soulside Ai","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"727971f9eaafba9bd33d254d"},"url":"https://jobsearcher.com/jobs/727971f9eaafba9bd33d254d"}}