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Ml Platform DevOps Engineer Snr
il y a 7 heures
Paris, 75, FR
**ABOUT CFM**:
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
**ML Platform team**:
The ML Platform team is focused on enhancing researcher productivity in training machine learning (ML) models by developing libraries, services, and best practices, and ensuring robust ML production at scale.
The aim is to provide a seamless path from experimentation to production that integrates with existing systems and boosts efficiency for model deployment.
The team mandate consists of addressing pain points, advancing organizational ML capabilities, and leveraging platform engineering with a modular, self-service approach.
It balances immediate user needs with sustainable technical decisions, emphasizing best practices and automation.
The team is composed of profiles working on cross-functional projects as well as engineers supporting functional teams in their ML journey.
**Your role**:
As a Senior DevOps Engineer in the ML Platform team, you'll leverage your strong software engineering background, proficiency in Python, and hands-on experience with AWS. Your role is to collaborate with developers and engineers to ensure software development adheres to established processes and functions effectively. You will also partake in project planning and technical choices.
Key Responsibilities:
- Implement testing, development, automation tools, and IT infrastructures for the ML Platform team and its users.
- CI/CD tools, handling configuration management.
- Define and establish processes for testing, development, release, updates, and support in DevOps operations.
- Drive continuous improvement by building pipelines for integration, development, and deployment.
- Implement and maintain monitoring systems.
- Maintain and enhance the team's cloud infrastructure.
- Promote and implement automation processes.
- Enhance security protocols by conducting vulnerability assessments and risk management to deploy cybersecurity measures.
**Your skills**:
**Mandatory**:
**_Technical_**:
- Proficient in Terraform and AWS.
- Solid experience with CI/CD, ideally with GitLab CI and Jenkins.
- Extensive experience using Docker and managing large-scale Docker images within an organization.
- Skilled in setting up and maintaining monitoring systems.
- Deep familiarity with UNIX-based systems.
- Work methodology_
- Experience with Agile, emphasizing flexibility and pragmatism over strict adherence.
**_Soft skills_**:
- Ability to articulate and defend strong opinions constructively, fostering consensus.
- Experience to understand not all decisions will go your way, with the ability to disagree yet commit.
- User-centered mindset while avoiding short-term solutions.
- Skill in engaging and motivating colleagues to adopt best practices.
- Commitment to team productivity and resilience through skill-sharing, beyond individual
**Nice to have**:
**_Technical_**:
- Experience adjacent to ML related topics
- Having worked in an on-premise environment, Slurm appreciated
If you don’t meet every requirement but believe you’d be a great fit, feel free to reach out to us.
**EQUAL OPPORTUNITIES STATEMENT**:
We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.
