Software Engineer III

🕒 March 30

⛰️ Colorado, New York, +1 more states – Remote

⛰️ Colorado – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $129k - $152k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

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Cleerly

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧬 Biotechnology

💰 Series C on 2022-07

Healthcare Insurance • Artificial Intelligence • Biotechnology

Cleerly is a healthcare technology company that specializes in heart disease prevention and treatment through advanced, AI-powered analysis of coronary computed tomography angiography (CCTA) imaging. By providing healthcare professionals with precise and comprehensive insights into heart health, Cleerly aims to reduce the risks associated with traditional cardiac assessments and enable personalized care strategies. Their innovative platform emphasizes non-invasive methods to detect coronary artery disease, improving the accuracy of diagnoses and treatment plans.

📋 Description

• Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms. • Contribute to the system architecture's design and make pragmatic trade-offs that balance performance, security, and maintainability. • Own full lifecycle delivery of complex features, from architectural planning and API design to implementation and post-release observability. • Support the high availability and observability of our services; improve alerting, logging, and incident response across the stack. • Uphold strong engineering standards via code reviews, technical mentorship, and design documentation. • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. • Implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). • 5–8 years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and data services (SQL, Postgres, NoSQL, Redis or similar). • Demonstrable capability in designing, implementing, and securing RESTful web services. • Experience in MLOps orchestration and cloud deployment (Docker, Kubernetes). • Experience with AWS, GitHub, and continuous integration pipelines. • Proven track record of delivering scalable systems in production environments. • Strong systems thinking with the ability to evaluate tradeoffs in scalability, reliability, and maintainability. • Experience designing for observability and operational excellence (e.g., logs, alerts, dashboards, runbooks). • Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.

🏖️ Benefits

• 15% target annual bonus • Additional stock options • Paid benefits and employee perks