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

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Cleerly

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2017

🏥 Saúde

💼 Consultoria

🍽️ Alimentos e Bebidas

💰 Series C em 2022-07

Healthcare • Consulting • Food & Beverage

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