Lead DevOps

Job summary
Permanent contract
Salary: Not specified
Fully-remote
Skills & expertise
Generated content
Cybersecurity knowledge
Technical aptitude
Grafana
Gitlab
Scrum master
+15

FIELDBOX
FIELDBOX

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Questions and answers about the job

The position

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.

Personal qualities:

  • 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

Some of the technologies that the Fieldbox applications are built with are python, react, django, javascript, erlang, to name a few.

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

- opportunity to meet with management

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