Engineering Manager - Compute Team
Quick Summary
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI,
Lead, coach and develop a team of Software Engineers through regular feedback, career development and mentoring.
Foster a collaborative, inclusive and high-performing engineering culture built on ownership, trust and continuous improvement.
Recruit, onboard and retain exceptional engineering talent.
Help engineers grow both technically and professionally while creating clear development paths.
Partner with Product, Staff Engineers and Engineering Leadership to define priorities and execute the Compute roadmap.
Drive predictable delivery of platform initiatives supporting scientific computing, AI workloads and internal developer platforms.
Balance new capabilities, operational excellence and technical debt reduction.
Identify and proactively manage delivery risks, dependencies and execution challenges.
Drive high engineering standards across architecture, testing, observability, reliability and maintainability.
Improve the scalability, resilience and performance of production systems supporting research and platform teams.
Promote modern engineering practices including automation, CI/CD, Infrastructure as Code and AI-assisted software development.
Continuously improve engineering processes, team effectiveness and operational maturity.
Collaborate closely with Platform, Data, AI and Scientific teams to translate research needs into scalable engineering solutions.
Facilitate communication between technical and non-technical stakeholders.
Ensure engineering execution remains aligned with AQEMIA's scientific objectives and business priorities.
Support cross-functional planning, architecture discussions and technical decision-making.
Partner with Engineering Leadership on organizational planning, hiring strategy and team evolution.
Help define engineering standards, operating principles and best practices across the organization.
Contribute to long-term platform strategy and engineering scalability.
Foster knowledge sharing, technical excellence and continuous learning across teams.
8+ years of experience in Software Engineering, including experience building production systems at scale.
Previous experience leading engineering teams as an Engineering Manager or Tech Lead with people management responsibilities.
Strong experience delivering distributed systems, cloud-native applications or compute-intensive platforms.
Solid software engineering background with hands-on experience in Python and modern backend development.
Experience working with AWS, Kubernetes, PostgreSQL, Snowflake and modern cloud infrastructure.
Strong understanding of software architecture, scalability, observability and operational excellence.
Experience leading roadmap execution and coordinating cross-functional engineering initiatives.
Excellent communication skills with the ability to influence across engineering, scientific and business stakeholders.
Strong coaching mindset with a passion for developing engineers and building high-performing teams.
Pragmatic approach to balancing delivery, technical excellence and organizational priorities.
Experience leading Platform Engineering, Infrastructure, Compute or SRE teams.
Exposure to scientific computing, machine learning infrastructure or AI platforms.
Familiarity with large-scale compute environments, GPU infrastructure or distributed training systems.
Experience with workflow orchestration systems and developer platforms.
Experience implementing AI-assisted engineering workflows and spec-driven development practices.
Track record of scaling engineering organizations in fast-growing technology companies.
Interest in computational chemistry, life sciences or scientific research environments.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- June 29, 2026
- First seen
- July 3, 2026
- Last seen
- July 6, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 62%
- Scored at
- July 3, 2026
Signal breakdown
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