AWS Architecture Blog

Digital Transformation at Santander: How Platform Engineering is Revolutionizing Cloud Infrastructure

This post is cowritten by Julio Bando from Santander.

Santander faced a significant technical challenge in managing an infrastructure that processes billions of daily transactions across more than 200 critical systems. The expansion into diverse financial services, including investment banking, wealth management, insurance, and payment solutions, had created unprecedented technological complexity, requiring a robust, agile, and scalable infrastructure solution. This raised two main issues. Santander needed to ensure that provisioned services followed established architecture definitions, and they needed to reduce infrastructure provisioning time, which took up to 90 days. This situation demanded intensive operational effort. The solution emerged through an innovative platform engineering initiative called Catalyst, which transformed the bank’s cloud infrastructure and development management. This post analyzes the main cases, benefits, and results obtained with this initiative.

The Catalyst solution

Santander is a global financial services company present in more than 10 countries, with over 160 million customers worldwide. They conceived Catalyst in conjunction with the Platform Strategy Program (PSP), an Amazon Web Services (AWS) program specialized in infrastructure platform design. Implemented through a partnership between AWS Professional Services and Santander, the platform was designed to abstract infrastructure provisioning complexity, standardize architectural compliance, and create a framework that enables new technologies in the bank.

The platform’s in-house frontend was developed as an intuitive developer portal, offering a unified interface for all provisioning and resource management needs. At the platform’s core is the control plane cluster, based on Amazon Elastic Kubernetes Service (Amazon EKS). This cluster is the brain of the operation, orchestrating all components and workflows. Within the cluster, Crossplane plays a fundamental role, acting as a universal resource provisioner that Santander uses to manage resources across multiple cloud providers consistently and declaratively.

The control plane cluster has three components:

  • Data plane claims – Managed by ArgoCD, a continuous delivery tool, the component is responsible for continuous synchronization and deployment of application stacks (integrated sets of cloud resources) and configurations, exploring the GitOps concept.
  • Policies catalog – A central repository of policies ensuring compliance and security across all operations using Open Policy Agent (OPA).
  • Stacks catalog – A library of composite resource definitions and Compositions enabling quick and standardized creation of complex environments.

Santander used this innovative architecture to significantly reduce provisioning time from 90 days to only a few hours and in some cases only minutes. Catalyst brought significant benefits in terms of standardization, security, and governance. The provisioning cycle decreased from 30 days to 2 days, and proof of concept preparation time jumped from 90 days to only 1 hour. The consolidation of over 100 pipelines into a single control plane will further simplify infrastructure management. The following diagram shows the Santander catalyst architecture.

This diagram shows the AWS architecture of Santander's Catalyst platform that provides AI capabilities to teams across the company.

Key platform capabilities

Catalyst’s implementation enabled the creation of strategic workloads demonstrating the platform’s versatility and robustness:

  • Generative AI agents stack – The first success case was implementing a complete stack for AI agents integrating:
  • Modern data platform – One of the most complex workloads implemented through Catalyst was the new data platform, including:
    • Built-in integration with Databricks
    • Data lakes
    • Automated extract, transform, and load (ETL) workflows
    • Integration with centralized data catalog
    • Segregated environments for experimentation. With this implementation, the bank significantly reduces approximately 3,000 monthly tickets related to data experimentation environment provisioning.
  • Cloud process orchestration – creation of a modern process orchestration environment with significant results:
    • Migration of legacy workflows to AWS Step Functions
    • Implementation of retry patterns and error handling
    • Centralized process monitoring

Overall result

This stack reduced AI agent implementation time from 105 days to only 24 hours, eliminating dozens of provisioning tickets per environment. The success of these workloads demonstrates Catalyst’s technical capability and the solution’s versatility in meeting different business needs. Each implementation brought valuable learnings that were incorporated into the platform, creating a virtuous cycle of continuous improvement. The variety of implemented workloads also shows how Catalyst has the potential to be a universal platform, capable of supporting everything from traditional use cases to the most innovative ones involving AI and legacy system modernization. Catalyst’s success wasn’t limited to operational efficiency. The platform also catalyzed a cultural change within Santander, promoting an automation and self-service mindset among development teams. This resulted in faster overall development velocity, more agile teams, and enhanced capability to respond quickly to market changes.

Conclusion

Catalyst represents more than merely a technological tool—it’s a digital transformation enabler that’s redefining cloud development standards at the bank. With the platform, Santander addressed the challenges of a scaled environment and established a solid foundation for continuous innovation and future growth.

With these practical cases, Santander proves that investment in platform engineering solves technical problems and enables new business possibilities, keeping the bank at the forefront of digital transformation in the financial sector.


About the authors

Julio Bando

Julio Bando

Julio Bando is a senior expert technology architect at F1RST/Santander with over 10 years in digital transformation. He helps clients improve market share and innovation and has full stack experience in various projects, leading teams and performing multiple activities.

Jaime Nagase

Jaime Nagase

Jaime Nagase is a Principal AppMod Business Development Manager at Amazon Web Services (AWS) and is responsible for helping Latin American clients transition to serverless and containers services,[JD1]  along with application modernization, DevOps, site reliability engineering, and digital transformation strategies.

Robert da Costa

Robert da Costa

Robert da Costa is a Senior Solutions Architect who has worked for over 20 years in technology within financial sector companies. Today, he’s dedicated to helping customers innovate using Amazon Web Services (AWS). He also loves traveling with family and friends to enjoy free time by the sea.

Edgar Costa Filho

Edgar Costa Filho

Edgar Costa Filho is a Senior Solutions Architect focused on foundations and containers, including expertise in Amazon EKS integration with open source tools such as Crossplane, Terraform, and GitOps. In his role, Edgar is dedicated to helping clients achieve their business objectives by implementing best practices in cloud infrastructure design and management.

Guilherme Greco

Guilherme Greco

Guilherme Greco is a Solutions Architect at Amazon Web Services (AWS), focused on the financial segment. With 19 years of experience in infrastructure and architecture, Guilherme has been helping AWS clients since 2018 succeed in their cloud journeys, from creating a solid foundation to migrating corporate solutions.

Joao Melo

Joao Melo

João Melo is a Solutions Architect serving Enterprise clients with a focus on the financial market. With over 10 years of experience, João started his career as a Java and .NET developer, and later specialized in infrastructure as a Systems Engineer. A graduate of FEI, he is enthusiastic about Containers, DeFi, Payment Systems, and passionate about cinema and games

Jacob Mevorach

Jacob Mevorach

Jacob Mevorach is a Senior Generative AI Solutions Architect at Amazon Web Services (AWS) focused on startups. Prior to joining AWS, Jacob focused on enabling and conducting large-scale analysis for genomics and other scientific areas. He is also one of the original creators of the Platform Strategy Program (PSP).

Michael Silva

Michael Silva

Michael Silva is a Senior Solutions Architect specializing in foundational infrastructure and containerization, with deep knowledge of Amazon EKS and its integration with open-source technologies like Crossplane, Terraform, and GitOps workflows. Michael works closely with customers to help them meet their business goals through the adoption of cloud infrastructure best practices in design and operations.