Our company: Entalpic

We are a dedicated team at the forefront of AI and chemistry, working to accelerate the energy transition. Our focus is on discovering new chemicals and materials that can lead to more sustainable practices in sectors where the need for change is most urgent. Specifically, we develop a modern generative AI platform to discover new catalysts that optimize chemical reactions, significantly reducing CO2 emissions and thus making a substantial impact on the environment.

As an early-stage AI-driven startup backed by significant funding (>5m), we base our approach on state-of-the-art academic research to drive practical business solutions. We value clear communication and simplicity in our approaches, promoting a constant optimization mindset.

Join Entalpic to be part of a growing team, eager to learn and adapt, united by the belief that our technology can make a significant positive impact and contribute to transforming carbon-intensive industries for a sustainable future.

Co-founders: Mathieu Galtier, Victor Schmidt, Alexandre Duval

Entalpic is dedicated to equal opportunity employment and fosters an environment that is open and respectful of diversity. All applicants are encouraged to apply, even if you don’t meet all above requirements. If you have passion for our mission and believe you can contribute, we want to hear from you.

Reporting & Job Location

You will report to the CTO of Entalpic and will be located in our Paris offices.

Mission Highlights

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.

Role & responsibilities

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.

Profile

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.

Bonuses:

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

Expertise

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.

Compensation & benefits

We are a no-nonsense startup, where we favor a sustainable culture promoting work-life balance and good compensation over foosball tables and free food. 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.
and more to come as we grow

Senior Platform Engineer @Entalpic

Job Description