About Cleerly
We’re Cleerly – a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. Founded in 2017 by one of the world’s leading cardiologists, our growth is supported by $223M Series C funding in 2022 and an additional $106M Series C extension in December 2024. Most teams work remotely with optional office access in Denver, CO; New York, NY; Dallas, TX; and Lisbon, PT, with some roles requiring on‑site presence.
Cleerly’s AI‑driven precision diagnostic solutions quantify and characterize atherosclerosis—plaque buildup—in each heart artery, supporting value‑based care and helping prevent heart attacks. We collaborate digitally, using Google Workspace, Slack, Confluence/Jira, and Zoom Video. While mostly remote, travel is required occasionally (typically monthly or quarterly) and may be up to 90 % of the time for sales or externally facing roles.
About The Opportunity
We’re seeking a Software Engineer 3 to drive key technical initiatives within our computational imaging pipeline. In this high‑impact role you’ll own the systems that deploy, scale, and monitor our regulated AI algorithms end‑to‑end, influence architecture, ensure medical quality and performance standards, mentor peers, and shape our technical culture.
About The Team
You will join our expert Computational Imaging team focused on improving the quality and clinical value of medical images. We develop powerful software that corrects artifacts, standardizes data, and ensures precision before final analysis, ensuring reliability and accuracy of Cleerly’s regulated products.
Responsibilities
- Build and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high‑availability infrastructure for our machine learning algorithms.
- Contribute to system architecture design, making 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 high availability and observability of services; improve alerting, logging, and incident response across the stack.
- Uphold strong engineering standards via code reviews, technical mentorship, and design documentation.
- Collaborate closely with AI and engineering teams to reduce knowledge silos and ensure continuity in critical systems through cross‑training and documentation.
- Implement robust testing mechanisms 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 (logs, alerts, dashboards, runbooks).
- Comfortable operating in ambiguity and driving clarity across product, engineering, and business stakeholders.
Preferred
- Experience designing and optimizing end‑to‑end medical imaging pipelines in a production environment and familiarity with HIPAA/HITRUST security requirements.
- Hands‑on experience with Computer Vision and Deep Learning techniques used for medical image processing.
Equal Opportunity Employer
We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.
Compensation
The base salary range varies by location and aligns with market benchmarks. Candidates in higher‑cost labor markets (California, Washington, New York, New Jersey, Connecticut, Massachusetts, DC) are positioned in the middle‑to‑high end of the range; other U.S. locations are positioned in the low‑to‑middle end. Final compensation is determined based on location, experience, skills, and internal equity.
- Base Salary: $129,000 – $152,000
- Total Target Compensation (TTC): $142,000 – $168,000 (including variable pay, bonuses, and stock options)
This role is eligible for a 15 % target annual bonus. Stock options, paid benefits, and employee perks are part of your total rewards.
Core Values
- H: Humility – be a servant leader
- E: Excellence – deliver world‑changing results
- A: Accountability – do what you say; expect the same from others
- R: Remarkable – inspire & innovate with impact
- T: Teamwork – together we win
Additional Information
Don’t meet 100 % of the qualifications? Apply anyway. We value experience, whether formal or informal. Job duties, activities, and responsibilities are subject to change by our company.
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