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Cleerly logo
Cleerly

Personalized precision heart health

Senior Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteSeniorTeam 201-500Since 2017H1B SponsorCompany SiteLinkedIn

Location

California + 2 moreAll locations: California | New York | Texas

Posted

59 days ago

Salary

$176K - $184K / year

Seniority

Senior

Job Description

Senior Software Engineer

Cleerly

• Design, build, and deploy scalable AI services and computational imaging pipelines to production, ensuring robust, high-availability infrastructure for our machine learning algorithms. • Design extensible system architectures 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. • Ensure high availability and observability of our services; improve alerting, logging, and incident response across the stack. • Set and uphold strong engineering standards via code reviews, technical mentorship, and design documentation. • Lead technical design reviews and system decomposition efforts across teams. • Proactively identify risks and gaps in operational or architectural resilience, and drive durable improvements. • Collaborate closely across AI and engineering to reduce knowledge silos and ensure continuity in critical systems through cross-training and documentation. • Design and implement robust testing mechanism and validation strategies to ensure compliance with our Quality Management System and regulatory standards. • Contribute to the necessary technical documentation required for regulatory submissions.

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
  • 8–12 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 architecting and delivering scalable systems in production environments.
  • Experience mentoring engineers and raising the technical bar through reviews and design feedback.
  • 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
  • Stock options
  • Paid time off
  • Remote work options
  • Professional development opportunities

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