4 часа назад
Engineering Manager (Compute)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (Compute): Lead and grow a software engineering team delivering compute platforms for scientific computing, AI workloads, and internal developer platforms with an accent on distributed systems, cloud infrastructure, and operational excellence. Focus on scaling production systems, improving reliability and performance, and translating scientific needs into robust engineering solutions.
Location: Paris, France; hybrid workplace with up to two remote days per week
Company
is a drug invention company developing new medicines through its QEMI platform, which combines physics-based modeling, statistical mechanics, and generative AI.
What you will do
- Lead, coach, develop, recruit, onboard, and retain the Compute Engineering team.
- Define priorities and deliver the Compute platform roadmap with Product, Staff Engineers, and Engineering Leadership.
- Build platform capabilities supporting scientific computing, AI workloads, and internal developer platforms.
- Improve architecture, testing, observability, reliability, scalability, performance, and maintainability of production systems.
- Promote automation, CI/CD, Infrastructure as Code, and AI-assisted software development.
- Partner with Platform, Data, AI, and Scientific teams on architecture, planning, technical decisions, and organizational strategy.
Requirements
- 8+ years of software engineering experience, including production systems built at scale.
- Experience leading engineering teams as an Engineering Manager or Tech Lead with people-management responsibilities.
- Strong experience with distributed systems, cloud-native applications, or compute-intensive platforms.
- Hands-on experience with Python and modern backend development.
- Experience with AWS, Kubernetes, PostgreSQL, Snowflake, and modern cloud infrastructure.
- Strong knowledge of software architecture, scalability, observability, operational excellence, roadmap execution, and cross-functional communication.
Nice to have
- Experience leading Platform Engineering, Infrastructure, Compute, or SRE teams.
- Exposure to scientific computing, machine learning infrastructure, AI platforms, GPU infrastructure, or distributed training systems.
- Experience with workflow orchestration systems, developer platforms, and AI-assisted engineering workflows.
- Experience scaling engineering organizations in fast-growing technology companies.
- Interest in computational chemistry, life sciences, or scientific research.
Culture & Benefits
- Work on drug discovery programs targeting major unmet medical needs.
- Collaborate with interdisciplinary teams across AI, physics-based modeling, biology, and medicinal chemistry.
- Flexible hybrid work with up to two remote days per week.
- Work from offices in Paris or London.
- Join a company backed by $100M from European and international investors and recognized by French Tech 120 and France 2030.
Hiring process
- Talent Acquisition Interview.
- Hiring Manager Interview, Technical Assessment, Stakeholder Interview, VP Interview, and Culture Fit Interview.
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