Lead DevOps

Our business: We help industrial companies to accelerate their digital transformation and dramatically improve their operational efficiency and competitiveness with data, software and AI. Our clients include CAC 40 companies, as well as small and medium-sized companies on five continents and over 150 industrial sites.

What makes us special: We offer a complete range of services, combined by latest technologies, covering the entire lifecycle from ideation, business value assessment, industrialized solution development, deployment, run and scale.

Our positioning: We seek long term partnership-relation with our clients. We can help them define their digital strategy and AI roadmap, build & run a solution, train, and transfer skills, set up and professionalize R&D or innovation units or digital & AI factories.

Our teams: A virtuous combination of three areas of expertise:

Business expertise: industrial operations & engineering.

Technical expertise: data science, software engineering & devops..

Delivery management expertise: managing digital projects and setting digital factories.

Job Description

Your missions: You’ll be a key player in our devOps team, with a wide range of activities.

1 - Contribute to the delivery of our clients’ projects, managing DevOps team and activities:

Understand the client’s business issues and needs, and translate them into technical requirements,

Support the architect in specifying the technical solution (architecture, technical stack, etc.) and explain technical options and their impacts to stakeholders to guide and facilitate decision-making,

Identify all tasks to be carried out and related prerequisites, organize and sequence work, estimate workload and highlight the critical path,

Propose alternative options when needed, to manage difficulties encountered and ensure timely and quality delivery,

Coordinate the work of the devOps team, provide technical coaching and methodological support the team,

Act as the privileged point of contact of the devOps team and ensure smooth interactions with all technical contributors (Architect, Data Scientist, developers, UX/UI) and delivery management roles in the agile environment (PO / PPO / Scrum master)

Design, deploy and maintain robust and scalable cloud infrastructures for AWS/Azure/GCP cloud-based & on premise applications 

Provide advice & expertise, in the pre-sales’ phases, identifying hard points or risk, key mitigation prerequisites and possible technical options

2- Contribute to the animation of technical groups and the development of internal assets:

Develop a good knowledge of the various technical stacks used

Adopt “test & learn” approach, build, and promote best practices,

Contribute to technical watch on the evolution of development tools and standards,

3- Contribute actively to teams’ development:

Help juniors to progress,

Contribute to recruitment,

Contribute to the skills assessment and competencies’ development process.

Preferred Experience

Technical expertise: 

Knowledge of dockerized and orchestrated (Kubernetes) environment

Knowledge of IaC (in particular Terraform)

Experience with working with Azure, GCP, AWS

Experience with Helm

Experience with working with the Grafana ecosystem (Prometheus, Mimir, Grafana), Vector or any other monitoring tools

Experience managing databases or search engines, such as Postgres, MySQL, Oracle, Redis or ElasticSearch,

Appreciated skills

Experience with CI/CD pipeline systems such as Gitlab CI and Azure DevOps

Understanding of the main Python web Frameworks (Django, FastAPI, Flask, …) and related technologies (Celery, Airflow, Redis, PostgreSQL) 

Knowledge of DevSecOps standards

Understanding of the challenge related to the deployment of ML models, especially at the edge, either technical or organizational.

Ability to lead technical streams:

• dynamically adapt to project context evolution, quickly identify the right balance between delivering applications that are either complex, fast, scalable or robust based on challenging timelines. 
• choose the right project & development practices to deliver on project goals. . 

Business-value oriented, able to know when it’s the right time to take a step back and consolidate so that the architecture remains sound at all times.

Ability to think positively and create a benevolent, team-oriented work environment,

At ease in interpersonal interactions, with multi-disciplinary profiles,

Ability to solve complex problems using different levers or components,

Fluency in French and English

Even if you don't have all the skills listed, don't hesitate to apply by sending us your CV.

Join us to contribute to building the next generation of AI platforms for industry.

Recruitment Process

After sending your application, you will receive a reply within 7 days. 

If your profile is selected, here are the next steps: 

- first meeting with a recruitment manager 

- a technical interview to debrief on the at-home technical test

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