ArcelorMittal is the world's largest steel producer. We use the most innovative technology to create the steels tomorrow's world will be made of.Every day over 190,000 of our talented people, located in over 60 countries, push the boundaries of digitalization and use advanced technology to create a world that is stronger, faster and smarter.To help make this possible, they know they can depend on the support and training that a company of our scope and scale can provide.The Digitalization team is part of the ArcelorMittal R&D; Spain Lab and it provides worldwide service within the ArcelorMittal Group.We are a team of more than 50 researchers working on Digitalization and Artificial Intelligence applied to a wide range of activities (manufacturing, product development, environmental, decarbonization, supply chain, commercial, planning & scheduling, etc.). This multidisciplinary team covers a wide variety of scientific and business areas with highly qualified researchers (engineers, mathematicians, physicists, etc.), all of them with deep expertise in combining Science and Business know-how. Their enthusiasm and commitment create an incredible working atmosphere for those that want to enjoy the experience of researching and applying breakthrough ideas in the real industrial world.We are looking for a highly motivated and skilled DevSecOps engineer to join our team. As a DevSecOps engineer, you will play a pivotal role in designing, implementing, and securing the infrastructure required for the seamless integration and delivery of software applications.You will work closely with the rest of the team to ensure that our DevSecOps practices are robust, scalable, and aligned with industry best practices.Your roleDesign, implement, and maintain automated CI / CD pipelines for software delivery.Develop and enforce security policies, standards, and procedures throughout the software development lifecycle.Implement infrastructure as code (IaC) practices using tools like Terraform or Crossplane to ensure consistency and scalability.Collaborate with development teams to integrate security controls and best practices into the development process.Integrate automatic security tools to identify and mitigate risks.Monitor for incidents and conduct root cause analysis to prevent recurrence.Stay up-to-date with emerging trends and technologies in DevOps, cybersecurity, and cloud computing.If you are passionate about DevOps, cybersecurity, and cloud technologies and are seeking an opportunity to work with a dynamic team of professionals to build and secure scalable infrastructure, please apply to join us as a DevSecOps engineer.Your profileRequirements:Master degree in Computer Science or a related technical field.Proficiency in at least one of the following programming languages: Python, C++ or C#, with a focus on scripting and automation.Demonstrated expertise in DevSecOps methodologies and tools, prioritizing security in all aspects of software development and deployment.Knowledge of cloud platforms such as Azure or AWS, with an understanding of how to deploy and secure infrastructure in these environments.Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes, facilitating consistent and secure deployment of applications.Experience with infrastructure-as-code technologies like Terraform, promoting the secure and consistent provisioning of cloud resources.Strong problem-solving skills, meticulous attention to detail, and the ability to work autonomously while collaborating effectively within a team.Excellent communication and teamwork skills, enabling effective collaboration across multidisciplinary teams.Advanced English and Spanish levels.Desirable knowledge:Familiarity with big data technologies like Spark, Kafka, and NoSQL databases, emphasizing their integration into secure DevOps pipelines.Exposure to the Data Mesh architecture and modern data stack, enhancing the integration of security practices within data-centric environments.Understanding of data warehousing concepts and experience with ETL / ELT tools, ensuring data integrity and security throughout the process.Understanding of machine learning concepts and techniques, enabling collaboration with data science teams on secure machine learning deployments.Familiarity with data visualization and dashboarding tools such as Grafana, Tableau and Power BI, facilitating data presentation and analysis.Knowledge of monitoring and logging tools, aiding in the proactive identification and remediation of issues within the infrastructure.What we will offerIntegration in a highly qualified group of researchers with the possibility of pursuing a career in the scientific area in the R&D; organization of the world's largest steel producer.According to ArcelorMittal Global R&D; values:You agree to comply with health and safety rules.You are respectful, transparent, honest and empathetic in your relationships. You honor your word and your commitments to others.You agree to behave consistently with the highest level of integrity.You strive to question your practices with high expectations of yourself and others. You strive for a high level of quality and reliability in everything you do.You recognize that diversity, varied skills and fresh ideas make a group exponentially better in the pursuit of a common goal.You know that learning changes minds and lives, so you are committed to learning throughout your professional career and continually achieving the skills required and essential to your success.You are open to ideas that challenge conventions and stimulate innovation.Join us and you will see that your work will help create renewable energy, impact major industries and boost economies. At ArcelorMittal, we'll help you create your world.Attractive remuneration with stimulating career prospects in which eminent scientists and engineers evolve in a multicultural environment.
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