Devops Engineer – Cloud & Big Data Infrastructure

Valeo

Prague, Czech Republic
Variable remuneration: monthly + semester bonuses;...
Hybrid
Aws cloud architecture experience
Docker and kubernetes deployment
Infrastructure as code implementation
The role involves designing and implementing automated cloud and hybrid solution deployments for R&D projects focused on Big Data and ADAS validation

Job Summary

  • The role involves designing and implementing automated cloud and hybrid solution deployments for R&D projects focused on Big Data and ADAS validation.
  • Candidates will supervise production platforms, optimize usage costs, and ensure compliance with Valeo's cybersecurity and IT standards.
  • Valeo offers a stable international environment with 6 weeks of vacation, flexible working hours, and opportunities to see the full development process from idea to product.

Matching Summary

The role involves designing and implementing automated cloud and hybrid solution deployments for R&D projects focused on Big Data and ADAS validation.

Salary

Variable remuneration: monthly and semester bonuses; Benefits: 5% pension contribution; Meal vouchers and Flexi Pass card included

Skills & Requirements

Must-have

  • AWS Cloud architecture experience
  • Docker and Kubernetes deployment
  • Infrastructure as Code implementation
  • CI/CD pipeline automation skills
  • Linux administration in cloud environments

Nice-to-have

  • Google Cloud or Azure knowledge
  • Proactive independent problem-solving
  • Strong teamwork collaboration skills
  • Experience with AI/ML workloads
  • Cloud cost optimization expertise

Key Requirements

  • University degree in Computer Science or Engineering
  • Strong hands-on experience with AWS services
  • Knowledge of networking and load balancing

Work Rights

Not specified

Tailored Resume

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