Level

Thales

Infrastructure Engineer (with DevOps skills)

AI in this role

Location: Bucharest, Romania

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of defence and security, aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

 

In Romania, we are advancing innovation through software engineering, research and development, delivering solutions in key markets in which Thales Group operates. Our engineers design, develop and integrate solutions that impact global industries – from fully operational systems and subsystems for naval warfare and maritime security operations, to air traffic management systems, satellite-based solutions, tactical indoor simulations, identity and biometric technologies and more.

Job summary

The IRIS2 (Infrastructure for Resilience, Interconnectivity and Security by Satellite) constellation is the European Union’s answer to pressing challenges ahead, offering enhanced communication capacities to governmental users, businesses, while ensuring high-speed internet broadband to cope with connectivity dead zones. The need for a secure and resilient global connectivity increases with the digitization of the economy and society, and the increasing geopolitical and cybersecurity threats.

As a DevOps Engineer, you will join the IRIS2 team and you will be responsible with the configuration and administration of the project environment, including orchestration of on-prem containers. The project respects the policies of Thales software development, using the Agile methodology and various automation tools implemented in Gitlab pipelines.

Responsibilities:

  • Maintain and manage dedicated project business networks from the infrastructure perspective

  • Negotiate with stakeholders the best technical implementation for the customer requirements

  • Advise engineering team on the capabilities and timeline of the future implementations

  • Assists as part of the team on the design of components of larger systems.

  • Produces detailed architectural documents related to the existing infrastructure

  • Puts skills and project experience into practice and provides support to less experienced colleagues.

Required Skills & Experience:

  • Solid virtualization skills: VMware, Virt-manager

  • Solid knowledge of Docker, Kubernetes orchestration, cluster administration, especially on-prem

  • Strong experience with system administration: Linux (mainly RHEL)

  • Proven competencies related to networking, in different project contexts

  • Previous experience with various scripting tools: shell scripting, Python

  • Implementation of security and compliance policies (Security patch updates)

  • Ability to follow technical procedures

  • Ability to create technical documentation

Nice to have:

  • Experience with various DevOps technologies: GitLab, Artifactory, Ansible, Terraform

  • CCNA certification

  • Red Hat Certified System Administrator (RHCSA) certification

Behavioral skills:

  • Clear communication on technical issues (oral and written)

  • Ability to efficiently manage incidents and problems within a multiple teams / multiple cultures environment

  • Effective team collaboration

  • Teamwork mindset

Mobility:

  • Travel to FR – 1-2 / year if necessary

At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.

How we score this

Infrastructure Engineer (with DevOps skills) at Thales scores 38 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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