DevOps System Engineer

AI in this role

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

As a DevOps Systems Engineer you will develop, deploy, and support/operate the platform based on Cloud Technologies such as OpenStack, Kubernetes, Cassandra, Elasticsearch. Furthermore, you will solve complex technical issues, understand whole solutions including different systems and technologies for platforms running in multiple software systems.

Responsibilities

Define, architect, and deploy high availability solutions using Cloud Technologies.
Define, develop and maintain deployment and operation script and tools for deployment automation.
Understand pipeline definition and automation for building, validating and deploying the platform to work on CI/CD.
Maintain Solution and Database monitoring solutions.
Responsible for Solution platform deployment, installation, patching, and third party software upgrades on internal and external customer platforms.
Participate in technical design review and strategic decision making.

Qualifications & Experience

Bachelor´s degree in computer science, systems engineering or similar fields.
At least 2 years of experience in cloud data base administration deployment, configuration, and migration.
Fluent in Spanish and English (B2).

Position Requirements

Mexican citizenship or work permit.
Office based in Cuernavaca.
Software development lifecycle and Cloud Data Bases.

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How we score this

DevOps System Engineer at Thales scores 31 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.