Lead Software Engineer, Platform

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🕒 May 21

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PostEra

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

Artificial Intelligence • Biotechnology • Pharmaceuticals

PostEra is a modern, 21st-century biopharma company that leverages its AI platform, Proton, to enhance and accelerate the discovery of new medicines. The company focuses on medicinal chemistry powered by machine learning, aiming to tackle the challenges associated with drug discovery. PostEra has established collaborations with major pharmaceutical entities like Pfizer and Amgen, emphasizing its role in the advancement of AI-driven drug development.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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