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Backend Software Engineer

EnsoData
CompanyEnsoData
CategoryEngineering
LocationMadison
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted6 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
Hi, I'm Will, an Engineering Manager at EnsoData! We're excited to announce that we're looking for a new teammate - an experienced backend engineer passionate about making healthcare better. This position offers a salary of $130,000-$140,000 along with bonus program, stock options, and benefits, including paid time off and health insurance. As a Backend Engineer at EnsoData, you will take full ownership of our core backend infrastructure, including the API and data processing pipelines. You are responsible for the end-to-end lifecycle; you will design, develop, test, deploy, and maintain critical services supporting the EnsoSleep application. A primary focus of this role is ensuring our backend systems are architected for scalability and security while maintaining strict adherence to SaMD regulatory standards, including FDA, HIPAA, and ISO 13485. On a given day, this could include: Core backend development & architecture - architect and scale solutions, owning end-to-end SDLC, and more. Interoperability & problem solving - build and maintain EnsoData's interoperability interface, partner with other team members to investigate root cause analysis, deploy reliable technical solutions for customers. Quality & engineering excellence - testing and automation, code review and technical documentation. Regulatory & compliance (SaMD) - regulatory adherence, QMS integration and cross function collaboration. About EnsoData EnsoData strives to make healthcare more accurate, efficient, and affordable through waveform artificial intelligence (AI) technology. Using AI and machine learning, our software analyzes billions of data points collected from sensors placed throughout the human body. Our first solution, EnsoSleep, reduces the time clinicians spend analyzing, scoring and managing sleep studies. This results in a simplified and accelerated patient testing, diagnosis, and treatment workflow. Our AI-powered technology has the capability of informing health decisions beyond sleep medicine, from monitoring patient health in the ICU or through wearables, to detecting and capturing seizure data, to providing earlier detection of heart disease, diabetes, stroke, and Alzheimer’s. Here is a little about what we are doing in the world of sleep medicine... EnsoHST - FDA-Cleared, AI-Powered Sleep Diagnosis Using Pulse Oximeters EnsoSleep - FDA-Cleared PSG and HSAT Scoring and Study Management **Here is a link to learn a little about our Celeste app! Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field. 3+ years of backend engineering experience, ideally within a startup or high-growth software environment. Strong proficiency in Python, Go, or Java (Python preferred), with a track record of building and maintaining scalable RESTful APIs and microservices. Demonstrated expertise in data modeling and database design using both relational (e.g., PostgreSQL) and NoSQL (e.g., MongoDB) systems. Practical experience deploying and managing applications on cloud platforms (AWS, GCP, or Azure) using Docker,Kubernetes, and CI/CD pipelines. Proficient in Git and experienced in working within a collaborative production codebase. Deep understanding of data privacy standards (e.g., HIPAA, GDPR) and a commitment to implementing secure application development practices. Excellent troubleshooting skills with the ability to investigate and resolve complex root-cause issues in a timely manner. A mission-driven mindset with the integrity and perseverance required to build technology that improves healthcare efficiency and affordability. Preferred Experience Experience with HL7, FHIR, DICOM, or other healthcare interoperability standards. Experience with Claude (or comparable agentic AI tools) for development; including code generation, architectural guidelines and workflow optimization. Knowledge of medical device regulations (FDA Class II/III, EU
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