Software Engineer III

Cleerly$129K — $152K *
US-AnywhereRemote in United States
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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).
  • Experience in designing, implementing, and securing RESTful web services.
  • Proficiency with MLOps orchestration and cloud deployment (Docker, Kubernetes).
  • Familiarity with AWS, GitHub, and continuous integration pipelines.
  • Strong understanding of observability and operational excellence.
  • Comfortable operating in ambiguity and aligning diverse stakeholders.

Responsibilities

  • Build and deploy scalable AI services and computational imaging pipelines to production.
  • Contribute to system architecture design, balancing performance, security, and maintainability.
  • Lead lifecycle delivery of complex features, from planning to implementation and observability.
  • Enhance service availability and observability; improve logging and incident response.
  • Maintain engineering standards through code reviews and technical mentorship.
  • Collaborate across AI and engineering to ensure continuity in critical systems.
  • Implement robust testing mechanisms and validation strategies to meet regulatory standards.

Benefits

  • Eligibility for a 15% target annual bonus.
  • Opportunities for stock options.
  • Engagement in a culture anchored by core values promoting accountability and teamwork.
Full Job Description
About the Opportunity

We're seeking a Software Engineer 3 to drive key technical initiatives across our computational imaging pipeline. In this high-impact role, you'll be part of the team owning the complex systems responsible for deploying, scaling, and monitoring our regulated AI algorithms end-to-end. You will influence the architecture of our system, ensuring our solutions meet medical standards for quality and performance, while mentoring other engineers and helping shape our technical culture.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the 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 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.

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.


The base salary range for this role varies by location and is aligned to market benchmarks.
  • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
  • Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:
  • Base Salary: $129,000 - $152,000
  • TTC: $142,000 - $168,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Working at Cleerly takes HEART. Discover our 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

Don't meet 100 percent of the qualifications? Apply anyway and help us diversify our candidate pool and workforce. We value experience, whether gained formally or informally on the job or through other experiences. Job duties, activities and responsibilities are subject to change by our company.

For more information see our Privacy Policy (https://cleerlyhealth.com/privacy-policy). All official emails will come from [redacted].com email accounts.

#Cleerly

About Cleerly

Clearly is an online retailer of contact lenses, eyeglasses and sunglasses. The company was acquired by EssilorLuxottica Canada, and is headquartered in Vancouver, British Columbia. They are one of the largest online contact lens retailers in North America, and the largest seller of prescription eyeglasses online in the world. Founded in 2000 as Coastal Contacts by Roger Hardy and his sister Michaela Hardy, who bought the keyword "contact lens" from AltaVista, which meant that all searches for "contact lens" were accompanied with Coastal Contacts' banner ads. In the first day, they had 30 orders; within the first month, they had $68,000 in sales. In addition to their lower pricing, the firm provided same day fulfillment of online orders. In 2004, Coastal Contacts raised $6 million in an initial public offering, which they used to expand into the United Kingdom and parts of Europe. In late 2004, they acquired a mail order contact lens business in Europe, LensWay. In 2006, they acquired two more companies: one in the Netherlands and one in Japan. By 2009, the firm increased their revenue to $140 million. They moved into the eyeglasses market in 2008. They source parts for eyeglasses from independent manufactures across the globe, but maintains control over final assembly.
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