DevOps Engineer

Posted 2 Days Ago
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Epalinges, Vaud, CHE
In-Office
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software
The Role
Build and maintain infrastructure and workflows for machine learning and AI systems. Responsibilities include developing CI/CD pipelines, managing AWS cloud infrastructure, automating provisioning and deployments with Infrastructure as Code, implementing monitoring and observability, troubleshooting production issues, optimizing performance, and supporting infrastructure security and compliance.
Summary Generated by Built In

Are you a passionate DevOps Engineer looking to make an impact in a dynamic and fast-paced environment? Then join Atinary Technologies (Lausanne, Switzerland) and its talented team to shape a future where AI is at the core of the R&D landscape! SDLabs®, our main product, is a Python-built end-to-end software suite that uses machine learning to optimize processes and accelerate materials discovery.


As a team, we are all generalists and are constantly looking for people that can take a problem and solve it. We build SDLabs®, an AI platform that helps teams around the world to improve their experimentation workflows. We don't expect you to have a background in everything we use, but we do expect strong software engineering foundations and a background with either one of our key languages.


About Atinary Technologies

Atinary Technologies is the pioneer of Self-Driving Labs®, a term coined by our founders in 2017. Our mission is to augment human intelligence with AI and robotics to drive a "Moore’s Law of Discovery"; exponentially accelerating the discovery of breakthrough molecules and materials for critical planetary challenges. Headquartered in Menlo Park, California, with operations in Boston and Lausanne, Atinary is a fast growing AI startup. Our team values innovation, collaboration, and agility.



Role Overview

We are seeking a DevOps Engineer to build and maintain the infrastructure and workflows that supports our ML and AI systems. You will be part of the tech team along with software and ML engineers to deploy scalable, reliable, and efficient systems, ensuring the smooth operation of Atinary’s products.


Responsibilities
  • Design, implement, and maintain CI/CD pipelines for software services.
  • Manage and optimize cloud infrastructure (AWS) for performance and cost-efficiency.
  • Automate provisioning, deployment, and monitoring using Infrastructure as Code.
  • Collaborate with software & ML engineers to ensure platform reliability and scalability.
  • Implement observability best practices.
  • Troubleshoot production issues and optimize system performance.
  • Partner with the security team to ensure infrastructure security and compliance.

Requirements
Must-have:
  • 3+ years of experience in DevOps, site reliability, or cloud infrastructure roles.
    OR
  • 2+ years of experience in Software Engineering and 1+ year of experience in DevOps, site reliability, or cloud infrastructure roles.
  • Experience with AWS.
  • Proficiency with CI/CD tools (GitHub Actions or similar).
  • Experience with containerization and orchestration.
  • Hands-on scripting/programming skills (Python, Bash).
  • Familiarity with Infrastructure as Code (Terraform, OpenTofu or similar).
  • Strong problem-solving skills in fast-paced environments.

Nice-to-have:

  • Startup experience and comfort with rapid iteration.
  • Familiarity with ML workloads, AI and GenAI systems.

Benefits

Why you would love working with us:

Make a Real Impact: You won't just be maintaining systems; you'll be shaping the core infrastructure of a fast-growing AI startup.

Join a Winning Culture: We're committed to a flexible, innovative, and supportive work environment. We have a hybrid policy of 2 home office days per week and we embrace flexible working hours.

Celebrate the Moments that Matter: We believe in celebrating our team's success and important milestones. From company-wide achievements to personal wins, we make sure to recognize and appreciate the moments that contribute to our shared journey.

Work on one of Europe's largest life sciences campuses: Surrounded by over 2,500 people from the world's most innovative companies and research groups.



Disclaimer

Please note that only candidates who are legally authorized to work in Switzerland will be considered for this position. 

Please submit your resume and a cover letter highlighting your relevant experience and verifiable track record. Candidates need to be prepared to submit two references from past employers and clients in the final steps of the interview process.

Atinary is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We seek a friendly, respectful, professional, collaborative and inspiring atmosphere and work environment for every employee, collaborator and client regardless of gender, physical appearance, sexual orientation, disability, age, race or religion.



Skills Required

  • 3+ years of experience in DevOps, site reliability, or cloud infrastructure roles, or 2+ years in software engineering plus 1+ year in DevOps, site reliability, or cloud infrastructure
  • Experience with AWS
  • Proficiency with CI/CD tools such as GitHub Actions
  • Experience with containerization and orchestration
  • Hands-on scripting or programming skills in Python and Bash
  • Familiarity with Infrastructure as Code tools such as Terraform or OpenTofu
  • Strong problem-solving skills in fast-paced environments
  • Startup experience and comfort with rapid iteration
  • Familiarity with ML workloads, AI, and generative AI systems
  • Legal authorization to work in Switzerland
  • Resume, cover letter, and two references from past employers or clients
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The Company
30 Employees
Year Founded: 2019

What We Do

Atinary Technologies develops SDLabs®, an AI-driven, no-code R&D platform that combines machine-learning optimization, data analytics, visualization, cloud technology, and optional robotics integration. Its Self-Driving Labs® approach augments scientists with AI, robotics, and human expertise to accelerate experimentation and discovery of molecules and materials. The company serves research-intensive fields including pharmaceuticals, biotechnology, chemicals, energy, electronics, cosmetics, food, and materials sciences worldwide.

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