Level

Thales

DevOps Engineer

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

CMA CGM is a global leader in maritime transport. It shares its maritime transport information system with its customers and partners through its key solution: the B2B API.

You will become part of the DevOps discipline, being surrounded by other experienced colleagues.

In terms of project, you will work closely with other colleagues from France, using the Agile methodology.

Responsibilities:

  • Automate deployment, testing, and monitoring processes.

  • Optimize the reliability, scalability, and security of cloud and on-premise infrastructures.

  • Collaborate with development teams (Java/Spring Boot) to improve CI/CD and environment management.

  • Availability for on-call activities and overtime based on project needs – working hours: Monday-Friday, 09:00-18:00

Required Skills & Experience:

  • CI/CD: Jenkins, GitLab CI, GitHub Actions, XL Release/XL Deploy

  • Containerization: Docker, Kubernetes (EKS, AKS, OpenShift)

  • Cloud: AWS (EC2, ECS, EKS, Lambda, Kinesis, RDS, S3), Azure or GCP (a plus)

  • Monitoring: Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), Rancher

  • Scripting: Bash, Python, PowerShell

  • Network & Security: Firewalls, VPN, IAM, certificate management, vulnerability scanning (SonarQube, Trivy)

  • DevOps Tools: Git, Jira, Confluence, Nexus/Artifactory

  • Databases: Oracle, PostgreSQL, NoSQL (MongoDB, Cassandra)

  • Infra as code: Terraform

  • API Gateway: Apigee, Kong

Nice to have:

  • Serverless: AWS Lambda, Azure Functions

  • Automation: Rundeck, Airflow

  • Tools: Insomnia, JMeter

Behavioral skills:

  • Autonomy: Ability to work independently and take initiative.

  • Problem-Solving: Aptitude for diagnosing and resolving complex incidents.

  • Team Spirit: Effective collaboration with developers, ops, and security teams.

  • Adaptability: Ability to adapt to technological changes and project needs.

  • Communication: Strong technical and non-technical communication (oral/written).

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

DevOps Engineer at Thales scores 35 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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