Build and operate the infrastructure behind Legion, owning CI/CD pipelines, cloud and on-prem environments, Kubernetes deployments, observability, and customer releases while helping engineers ship reliably.
Devops Engineer
π Description
- Be part of a team of seven DevOps professionals focused on cloud infrastructure.
- Collaborate with Development, Architecture, AI, and Data teams for efficient product delivery.
- Build and maintain scalable infrastructure to support growth and expansion.
- Engage in continuous improvement and challenging projects related to SRE practices.
- Establish your niche within a skilled team eager to learn and share knowledge.
π οΈ Requirements
- 3+ years of experience as a DevOps Engineer or in a similar role.
- Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools (Terraform, GitOps).
- Familiarity with containerization technologies (Docker, Kubernetes).
- Strong understanding of networking, security, and system administration.
- Coding background (scripting, programming) and passion for automation.
β¨ Benefits
- Compensation: Package includes base salary, a variable component and equity π
- Benefits/Perks : Work From Home stipend
- Lunch vouchers
- Medical insurance
- Gym subscription
- Balance: Flexible hours, full remote work possible anywhere in France π
- Phone Screen with our Talent Acquisition Manager
- Discovery Meeting with our Lead Devops Engineer
- Case Study to do at home and to discuss with a Devops Engineer
- Clarification Meeting with a Devops Engineer
Full job description
As a DevOps Engineer, you will be an integral part of an existing team comprising sixseven DevOps professionals. You will play a vital role in designing, implementing, and maintaining our cloud infrastructure and the internal platform built on it, which serves over 1800+ client companies, with 2.5+ million registered users and 30,000 daily active users.
You will collaborate closely with all engineering squads including Development, Architecture, AI, and Data teams, to ensure the smooth and efficient delivery of our SaaS product. Our objective is to treat our infrastructure as a product for our developers, managing its complexity so they donβt have to. We provide simple, ready-to-use tools that enable them to build, deploy, and run their services efficiently.. Your expertise will be crucial in driving continuous improvement and fostering innovation within our DevOps and Platform Engineering practices.
You will have the opportunity to:
- Make a tangible impact in a rapidly evolving company. You will be responsible for building and maintaining a scalable infrastructure (accommodating more developers, more customers, and expansion into more countries) while optimizing resources (monitoring costs, reducing toil, and improving time to market) to support our growing activities.
- Engage in the continuous enhancement of our practices and undertake challenging and comprehensive projects. If you are interested in topics like SRE practices and platform engineering, you will play a key role in our transformation.
- Establish your own niche within a highly-skilled team that is eager to learn, share knowledge, and progress together.
Within 1 month, you will
Within 3 months, you will
Within 6 months, you will:
Within 12 months, you will:
The Skill Set
Our technical stack
Cloud: Azure Cloud
Container orchestration: k8s, ArgoCD
Infra as Code: Terraform, AnsibleHelm
Monitoring tool: Datadog
Database: MongoDB Atlas
Application language: Javascript
What we offer:
Interview Process:
Similar jobs
Search more DevOps Engineer jobsMid-level DevOps Engineer (Remote) - Brazil
Plan, build, and maintain core AWS infrastructure and CI/CD tooling, enabling engineering teams to deploy securely and reliably while improving cloud availability, scalability, performance, and monitoring.
Design and maintain secure, scalable Google Cloud infrastructure, automate deployments with Terraform and CI/CD pipelines, and improve system reliability through monitoring, troubleshooting, and incident response.
Design and operate cloud infrastructure, CI/CD pipelines, and MLOps workflows that make AI services secure, scalable, reliable, and production-ready across their lifecycle.
Deploy and support reliable client infrastructure by managing Azure and Kubernetes environments, building CI/CD pipelines, automating operations, and improving monitoring, service reliability, and platform performance.
