Lead Software Engineer, Platform

Vaga não está no LinkedIn

🕒 Maio 21

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

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PostEra

11 - 50 funcionários

Fundada em 2020

🤖 Inteligência Artificial

🧬 Biotecnologia

💊 Farmacêutico

Artificial Intelligence • Biotechnology • Pharmaceuticals

A PostEra é uma empresa biofarmacêutica moderna do século XXI que utiliza sua plataforma de IA, Proton, para aprimorar e acelerar a descoberta de novos medicamentos. A empresa foca na química medicinal impulsionada por aprendizado de máquina, visando enfrentar os desafios associados à descoberta de fármacos. A PostEra estabeleceu colaborações com grandes entidades farmacêuticas como Pfizer e Amgen, destacando seu papel no avanço do desenvolvimento de medicamentos orientado por IA.

Descrição

• Helping PostEra deliver on its mission of getting therapies to patients by shaping systems design decisions around our drug discovery platform • Keeping close to the codebase by helping build and improve the platform upon which our team delivers features • Leading by example, championing best practices in software development and engineering culture • Making well thought out decisions about system architecture, including API design, application boundaries, and microservice communication • Fostering an environment of learning and improvement within our engineering team • Mentoring engineers through direct technical collaboration and managing a small team of direct reports • Collaborating with scientists and ML experts to tackle challenges contributing to the discovery of novel medicines • Driving projects focused on enhancing our engineering framework and implementing monitoring solutions that offer real-time insights into our applications' performance

🎯 Requisitos

• 8+ years of professional software engineering experience and a bachelor's degree (or more advanced education) to succeed in this role • Experience in systems design and backend web development • Strong communication skills • Experience with technical mentorship focus or people management responsibilities • Expertise in a python based backend web framework (we use Django, for example) • Experience integrating ML systems into production services/software • Familiarity with container orchestration or workflow systems (like: Kubernetes, Kubeflow, Argo, Airflow) • Have some familiarity with data pipelines • Experience with designing agentic workflows/context engineering

🏖️ Benefícios

• Competitive salary • Flexible work hours • Professional development budget • Home office setup allowance • Global team events

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