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Shape Entalpic’s cloud-native platform: design scalable data pipelines, secure infra, and DevOps for AI-driven chemistry breakthroughs. Paris-based. As a centerpiece member of Entalpic's engineering team, you will transition us from infrastructure users to infrastructure builders. You will have two core missions: Data Infrastructure: Architect, build, and scale the data pipelines, storage solutions, and client-isolation architectures that feed our advanced AI models and LLM agents. Platform & Compute: Grow, build, and optimize our cloud compute environments and DevOps practices to accelerate ML-driven scientific discovery.
Job Responsibility:
Cloud & Platform: Manage and evolve our existing GCP infrastructure using Terraform, proactively challenging the stack for scalability and financial optimization (FinOps)
DevOps & Developer Experience: Consolidate and strengthen our DevOps culture across projects and teams, help design and deploy efficient CI/CD pipelines, enhancing the overall developer experience for the ML and scientific teams
Data Storage & Pipeline Architecture: Design and manage robust infrastructure and tiered data storage to support pipelines handling high-throughput interactions between LLM agents, PostgreSQL, MongoDB, and Airflow
Security & Isolation: Design logical separation for tenant data and compute environments to protect highly sensitive intellectual property, keeping upcoming SOC-2 and ISO 27001 standards in mind
Containerization & Orchestration: Evaluate, introduce, and implement containerization technologies (e.g., Docker, Kubernetes) from the ground up to improve deployment reliability
AI automations: contribute to a culture of AI-driven automations by developing automated workflows, stay up to date with the latest advancements in the field and mentoring within the company across teams, from DevOps to Business needs
Requirements:
M.S. in Computer Science, Software Engineering, or a related technical field
10+ years of experience in software engineering, with a strong focus on data platforms and cloud infrastructure
You are a "Swiss army knife" software engineer at heart—happy to write code, build systems, and solve problems wherever the need arises
Excellent communication skills in English, with the ability to act as an evangelist for best infrastructure practices across interdisciplinary teams
Thrives in a fast-paced, evolving startup environment
Programming: Excellent industrial software engineering skills in Python and at least one other programming language (e.g., Go, Rust)
Cloud & Infrastructure as Code: Deep expertise managing cloud platforms (GCP preferred) and defining infrastructure via Terraform
DevOps & CI/CD: Strong track record of automating deployment pipelines (GitHub Actions) and introducing containerization to legacy or evolving stacks
Data Systems: Hands-on experience optimizing and scaling both SQL (PostgreSQL) and NoSQL (MongoDB) databases, alongside workflow orchestration tools like Airflow
Containerization & Orchestration Ecosystem: Strong practical experience with Docker and Kubernetes. Familiarity with ML-specific orchestration frameworks (such as Ray or Kubeflow) is highly advantageous
Nice to have:
Experience working alongside ML-driven teams and familiarity with ML-specific tooling (e.g., SLURM, HuggingFace, Weights & Biases)
You have navigated the complexities of data residency, compliance (SOC-2/ISO 27001), or strict tenant isolation
A very keen interest in LLM-guided / Agentic development workflows and versatility in using the most advanced models out there
What we offer:
A competitive salary
Equity (BSPCE), to reflect the value you bring to Entalpic and to foster a shared journey
Comprehensive health insurance (Alan blue)
French level paid leave and time-off work
Dynamic work setting. Although our preference is for in-person collaboration, we will be flexible with occasional remote work arrangements