Santander Corporate & Investment Banking (SCIB) is Santander´s global division that supports some of the world´s most complex and sophisticated corporate and institutional clients, offering customized services and value-added wholesale products to best meet their needs.

Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation.

WHAT YOU WILL BE DOING

As a DevOps Engineer, you will contribute to the modernization of our DevSecOps practices by applying intelligent automation and AI-driven solutions. This role is ideal for someone who enjoys combining traditional DevSecOps skills with emerging technologies like AI, GenAI and machine learning to help build scalable, self-healing, and resilient systems in a secure and regulated banking environment.

We need someone like you to help us in different fronts:
- Foster DevOps workflows Automation and optimization using AI and GenAI tools to reduce manual effort and increase system resilience.
- Ensure deployment and integration processes are executed with high levels of efficiency, predictability, quality, and security.
- Help designing intelligent monitoring systems that leverage machine learning for anomaly detection, predictive alerts, and root cause analysis. Support production issue resolution and coordinate with development teams to accelerate time to recovery.
- Foster integration of GenAI agents into CI/CD pipelines to assist with code generation, testing and deployment tasks.
- Contribute to prompt engineering efforts to fine-tune internal AI agents for operational efficiency and developer support.
- Continuously evaluate and implement emerging AIOps tools, frameworks, and best practices.
- Collaborate with ML and data teams to support the deployment and lifecycle management of AI/LLM models
- Embed security and compliance checks into automated workflows using AI-enhanced DevSecOps practices.
- Troubleshoot and resolve issues across development, testing, and production environments to ensure system reliability, performance, and availability.
- Collaborate with all team members to improve engineering excellence, systems, procedures and data security.

EXPERIENCE
- 3+ years in DevOps, SRE or Infrastructure engineering roles.
- Proven experience in automation, cloud deployments, and platform support
- Fluent in English; Spanish is a plus.

EDUCATION
- Bachelor´s degree or higher in Computer Science, Engineering or a related technical discipline.

SKILLS & KNOWLEDGE
- Strong experience with CI/CD, IaC (Terraform) and Cloud platforms (AWS).
- Proficiency in GitHub Actions and related CI/CD tools.
- Familiarity with AI/ML concepts, LLMs, or GenAI tools in production environments.
- Solid experience with Kubernetes and containerized deployments.
- Knowledge of secure secrets management and IAM policy design.
- Comfortable scripting in Bash, Python, or similar languages.
- Experience with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry, OpenSearch).
- Ability to work autonomously and collaboratively in agile teams.

OTHER INFORMATION
- AWS certification (SysOps, DevOps, Architect, or Data Engineer) is a plus.
- Background in regulated or financial environments is desirable.
- Experience with Cyberark, Vault, or PKI tools.
- Knowledge of event-driven architectures and serverless computing.
- Familiarity with AI observability and model monitoring.