Lead Software Engineer, Platform at PostEra | Torre

Lead Software Engineer, Platform

You'll architect systems to accelerate drug discovery, delivering therapies to patients faster.
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Full-time

Legal agreement: Employment

Compensation
USD190k - 220k/year
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Remote (anywhere)
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Posted 4 months ago

Requirements and responsibilities


Role Overview:In this role, you will be helping PostEra deliver on its mission of getting therapies to patients by shaping systems design decisions around our drug discovery platform, Proton. Design focus areas include things like data architecture, microservice design, and patterns for running async compute-heavy ML jobs.In addition, you will keep close to the codebase by helping build and improve the platform upon which our team delivers features. You will lead by example, championing best practices in software development and engineering culture, while also spearheading innovative projects that push the boundaries of drug discovery.You will make well thought out decisions about system architecture, including API design, application boundaries, and microservice communication. These systems should support the Proton platform in its pursuit to trivially handle many concurrent drug discovery projects running in parallel at industry-leading speed. Your leadership style should foster an environment of learning and improvement within our engineering team in which you should strive to build technical rapport with colleagues through coding and code review.Key Responsibilities:Technical Leadership and Execution: Deep technical knowledge and professional experience:Using cloud providers (ideally AWS), container orchestration frameworks, and IaC best practices.Working with teams who ship products using web-dev stacks composed of Python, modern frontend frameworks, and relational databases like PostgreSQL.Mentorship and Collaboration: Play a pivotal role in mentoring engineers, promoting a culture of cross-team collaboration and continuous learning. Candidate will:Be instrumental in facilitating knowledge sharing sessions, code reviews, and defining team-wide technical standards.Nurture the technical growth of our team members, while directly managing a small team of direct reports, with the possibility of growing into a larger people leadership role.Projects You May Lead:Innovative Drug Discovery Projects: Collaborate with scientists and ML experts to tackle challenges directly contributing to the discovery of novel medicines. Specific challenges may include projects such as expanding molecular search to 100B+ scale, designing automated AI-medicinal-chemist workflows, bringing novel ML research to production, and creating tools for real-time data analysis in drug design processes.Engineering Excellence Initiatives: Drive projects focused on enhancing our engineering framework such as architecting backend interactions with ML systems, improving our CI/CD processes, setting new standards for code quality and testing, incorporating AI tooling into our development processes, and implementing monitoring solutions that offer real-time insights into our applications' performance.Key Requirements:5+ years of experience and a bachelor's degree (or more advanced education) to succeed in this roleExperience in systems design and backend web developmentAn interest in technical mentorship and managementNice to Haves:Candidate is more likely to succeed in this role if they also have:Expertise in a python based backend web framework (we use Django, for example)Experience integrating ML systems into production services/softwareFamiliarity with container orchestration or workflow systems (like: Kubernetes, Kubeflow, Argo, Airflow)Have some familiarity with data pipelinesExperience with designing agentic workflows/context engineeringPast roles with technical mentorship focus or people management responsibilitiesSalary and Benefits:Salary: 190k - 220kEquity: 0.10% - 0.20%Visa Sponsorship: Not at this timeHiring Manager: Matt RobinsonVisit us at postera.aiWe use recruiting software to support the hiring process, such as collecting, organizing, and managing applications. Applications are reviewed by our recruiting team, and we do not use artificial intelligence or automated decision-making tools to evaluate candidates or make hiring decisions. Human judgment is used throughout the hiring process, and all final decisions are made by our hiring team. If you would like more information about how your personal data is processed, or about your rights under applicable data protection laws, please contact us.
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