Compute Platform Engineering Manager – Lead AI Workloads

Aqemia; Paris; Hybrid; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Flexible remote days

Paris and London offices

Job summary

AQEMIA is seeking an Engineering Manager for the Compute team to lead software engineers responsible for the compute platform powering our scientific simulations and AI workloads. You will drive delivery, maintain high engineering standards and collaborate with platform, data, AI and science teams.

You will recruit, coach and develop engineers, shape the roadmap, balance delivery with technical excellence, and ensure scalability and reliability of production systems across Paris and London.

Qualifications

• 8+ years of experience in Software Engineering, including 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.

Responsibilities

• 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 by 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.

Skills

Engineering leadership

Distributed systems

Python backend

AWS / Kubernetes

PostgreSQL / Snowflake

Software architecture

Roadmap execution

Communication

Coaching mindset

Delivery balance

Tools

Kubernetes

AWS

PostgreSQL

Snowflake

Job description

AQEMIA is seeking an Engineering Manager for the Compute team to lead software engineers responsible for the compute platform powering our scientific simulations and AI workloads. You will drive delivery, maintain high engineering standards and collaborate with platform, data, AI and science teams.

You will recruit, coach and develop engineers, shape the roadmap, balance delivery with technical excellence, and ensure scalability and reliability of production systems across Paris and London.