Software Engineer, Athelas Home

Athelas is a healthcare technology company focused on transforming the administrative burden in healthcare. They are seeking Software Engineers to enhance their FDA-cleared IoT medical device product, Athelas Home, which utilizes machine learning to analyze blood samples and improve patient diagnostics.

Responsibilities:

• Development of existing backend and frontend services for the Athelas device product: improving our infrastructure, architecting and building robust, scalable back-end service
• Translate product requirements into technical solutions
• Implementation of cybersecurity best practices throughout the software development lifecycle
• Collaborate with engineering, operations, quality, and regulatory functions to ensure that production software systems meet both operational, security, and regulatory requirements
• Utilize a stack comprising Python, Flask, React, Postgres, Kubernetes, Docker
• Apply problem-solving and analytical skills to diagnose and resolve technical issues efficiently, ensuring the stability and performance of our systems
• Establish and enforce best practices for code quality, testing, and deployment

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent extensive experience required
• Professional software engineering experience required, proficiency in Python
• Deep expertise in developing and managing data pipelines and experience with PostgreSQL or similar relational database management systems
• Advanced knowledge in Containerization and Cloud Services (Docker, Kubernetes)
• A strategic thinker with a builder's mindset, passionate about high-impact projects
• Demonstrated expertise in building, scaling, and maintaining sophisticated production environments
• Advanced skills in system monitoring, alerting, reporting, metrics tracking, and software reliability engineering
• An exceptional sense of product development with a keen focus on user experience and customer needs
• A commitment to ongoing personal and professional development
• Experience or interest in embedded software engineering – developing application software for embedded systems (Linux-based IoT medical device). Experience with hardware interfaces (GPIO, camera control, serial communication) and embedded Linux systems is a plus, though not required. Note: This is application software development on embedded hardware, not low-level firmware engineering
• Experience or interest in the design, training, and optimization of computer vision models for blood diagnostics, including object detection and classification models. Work across the ML lifecycle from data preparation and model training to deployment and performance monitoring