Software Engineer III

🕒 Março 30

⛰️ Colorado, New York, +1 estados a mais – Remoto

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

💵 $129.000 - $152.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Cleerly

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2017

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

🧬 Biotecnologia

💰 Series C em 2022-07

Healthcare Insurance • Artificial Intelligence • Biotechnology

A Cleerly é uma empresa de tecnologia na área de saúde que se especializa na prevenção e tratamento de doenças cardíacas através de análises avançadas e impulsionadas por IA de imagens de angiotomografia coronariana por tomografia computadorizada (CCTA). Ao fornecer aos profissionais de saúde insights precisos e abrangentes sobre a saúde do coração, a Cleerly visa reduzir os riscos associados às avaliações cardíacas tradicionais e possibilitar estratégias de cuidado personalizadas. Sua plataforma inovadora enfatiza métodos não invasivos para detectar doenças das artérias coronárias, melhorando a precisão dos diagnósticos e planos de tratamento.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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