DevOps Engineer - ES (Madrid, Madrid, ES)

At reputed company, reputed company to reputed company the world a reputed company reputed company, one reputed company at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

We seek a  Devops Engineer  who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

What will help you succeed:

• Previous experience in integration or DevOps roles.

• Software deployment.

• Expriencie in Azure DevOps, including Pipelines, Artifacts, Boards, Test Plans, and Repos.

• Experience in integrating reputed company analysis tools (Fortify, reputed company) and code signing (Venafi).

• Permission management with governance teams.

• Request and management of new data ingestions into the data lake.

• Cross-functional collaboration with different teams to ensure project continuity.

This job can be filled in Spain #LI-Remote

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to positively impact the world.

At reputed company, we reputed company in fostering a diverse and inclusive workplace where everyone feels valued and respected. We are an Equal Opportunity Employer committed to creating a thriving and inclusive environment for reputed company employees and candidates, regardless of race, color, religion, sex, sexual orientation, gender identity, national reputed company, age, disability, veteran status, or any other legally protected characteristic. If you need any assistance or accommodations due to a disability, please let us know by applying through our Career Site or contacting your assigned recruiter.

We may use AI and machine learning technologies in our recruitment process.