DevOps Engineer - ML Infra & GPU-Scale Automation

Enfint; Lisboa; Presencial; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Flexible schedule

Medical insurance

Sports benefits

Corporate events

Professional development

Well-equipped office

Resumo da oferta

Enfint seeks a senior infrastructure/ML Ops engineer to lead the design, evolution, and long-term technical direction of scalable, multi-GPU infrastructure and model training platforms across cloud environments.

You will drive reliability, performance, and cost-efficiency at scale, build automation, and mentor engineers while advancing CI/CD, monitoring, and on-call support across Linux-based, GPU-heavy systems.

Qualificações

• Production-grade, hands-on experience with Kubernetes and cloud environments.
• Experience building and operating CI/CD pipelines, including self-hosted build runners (GitHub Actions).
• Deep hands-on experience with monitoring and alerting stacks (Prometheus and Grafana).
• Strong foundational knowledge in Linux administration, containerization, and container orchestration.
• Solid automation and scripting skills utilizing Python and Bash.
• Flexibility to participate in an on-call rota for urgent issues outside of regular business hours.
• Nice to have: CKA certification and GPU-accelerated Kubernetes clusters experience.

Responsabilidades

• Lead the design, evolution, and long-term technical direction of scalable, multi-GPU infrastructure and model training platforms.
• Drive reliability, performance, and cost-efficiency at scale across cloud environments.
• Build and evolve infrastructure-as-code and automation for provisioning, orchestration, and lifecycle management.
• Architect and improve CI/CD systems for infrastructure and ML training workflows.
• Partner with ML engineers and researchers to enable efficient experimentation and productionization.
• Lead troubleshooting of complex system issues in distributed, GPU-heavy environments.
• Define and implement best practices for infra, DevOps, and MLOps across the organization.
• Document architecture, systems, and key technical decisions.

Conhecimentos

Linux administration

Containerization

Automation scripting

CI/CD operations

Ferramentas

Kubernetes

Terraform

Helm

AWS

GitHub Actions

Prometheus

Grafana

Python

Bash

Karpenter

FSx for Lustre

EFS

Descrição da oferta de emprego

Enfint seeks a senior infrastructure/ML Ops engineer to lead the design, evolution, and long-term technical direction of scalable, multi-GPU infrastructure and model training platforms across cloud environments.

You will drive reliability, performance, and cost-efficiency at scale, build automation, and mentor engineers while advancing CI/CD, monitoring, and on-call support across Linux-based, GPU-heavy systems.