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Santander

Devops Engineer

  • Hybrid
  • 3-6 years
  • English (B2)
  • Spanish (B2)

Salary

Not stated

Similar roles pay $110K - 155K a year · our estimate

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Description

The company is the company's CDAIO / AI TECH division, which is building an AI and data team inside one of the largest banks in the world, as part of a major technology transformation.

The team is looking for a Senior DevOps Engineer to help design, build and deploy scalable, resilient AI solutions.

You will build and maintain the infrastructure and automation pipelines that support the full AI lifecycle, from experimentation to production, with a focus on agility, security and operational excellence.

You will work closely with AI experts, data scientists, ML engineers and enterprise technology partners to deliver AI products that create business value across the company, and this role is central to the AI transformation agenda.

Responsibilities

  • Design, build and manage reliable CI/CD pipelines for GenAI applications and containerized services.
  • Design infrastructure architecture and deploy solutions that development teams have built, across several environments.
  • Build and maintain cloud-native infrastructure on AWS for the full AI lifecycle, from development through production deployment and monitoring.
  • Automate infrastructure provisioning with Infrastructure as Code, preferably CloudFormation, with Terraform or CDK also valued.
  • Run containerized workloads on Kubernetes (EKS), including networking, DNS, load balancing and perimeter security.
  • Keep AI services scalable, reliable and highly available in production.
  • Monitor system performance, debug issues and lead root-cause analysis and incident resolution, including taking part in a light on-call rotation.
  • Work with data engineering and ML teams to put AI solutions into production and connect them to business-critical systems.
  • Uphold security, compliance and governance standards across the AI technology stack.
  • Promote automation and engineering excellence within the AI Tech team.

Requirements

  • 5+ years in DevOps, Site Reliability Engineering or Platform Engineering roles.
  • Solid hands-on experience running AWS services in production with high availability expectations, including cost optimization and security best practices.
  • Hands-on experience with Docker and Kubernetes, and orchestrating microservices.
  • Solid experience building CI/CD pipelines with tools such as GitHub Actions, Jenkins, GitLab CI or similar.
  • Strong scripting and automation skills in Python, Bash or Go, or similar.
  • Strong experience with Infrastructure as Code using CloudFormation, Terraform or CDK.
  • Experience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, ELK Stack or Dynatrace.
  • Knowledge of security and compliance in cloud-based systems.
  • BSc or MSc in Computer Science, Engineering or a related technical field.
  • Spanish proficiency.
  • High level of English.
  • Strong problem-solving skills, a deep sense of ownership and a proactive attitude.
  • Excellent communication skills, with the ability to lead technical discussions and work with both technical and non-technical stakeholders.
  • Preferred: experience designing infrastructure architecture, not only deploying it.
  • Preferred: experience with GCP.
  • Preferred: experience supporting GenAI or ML workloads, or familiarity with Amazon Bedrock or SageMaker.
  • Preferred: an MSc or postgraduate degree in a technical field.
  • Preferred: relevant certifications in cloud platforms, Kubernetes or DevOps practices, such as AWS DevOps Engineer, AWS Solutions Architect, CKA, CKAD or CKS.

Conditions

Hybrid working: some days remote and some days onsite with your team, with flexible hours.

Reasonable accommodations may be made for individuals with disabilities to perform the essential functions of the role.

Equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation; the application process is inclusive and accessible.

Personal data is processed by Open Digital Services, S.L. solely to manage the selection process and, if applicable, to formalise recruitment.

Benefits

  • A fair, competitive reward package that reflects your impact, with a highly competitive salary and performance-based bonuses.
  • Global opportunities and broad career paths.
  • Access to hundreds of courses on the company's platforms, including the global the company Open Academy learning space.
  • Preferential banking terms, special interest rates on loans and life insurance.
  • BeHealthy global wellness programme.
  • Childcare support and family-friendly programmes for each life stage.
  • The company Contigo, offering legal, emotional and administrative advice to employees and their families.
  • Gym or WellHub membership, medical centres at some facilities, meal subsidy, parking, shuttle service from various points in Madrid and exclusive employee discounts.

About the company

Santander

  • Industry: FinTech

Also hiring in Austria, Spain, United Kingdom and 4 more places

Your chances

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  • 2 red flags

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Details10 facts · Role, Location, Compensation, Company, Requirements
Tech stack
  • Python
  • Go
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • CI/CD
  • Jenkins
  • GitHub Actions
  • GitLab
  • Prometheus
  • Grafana
Industry
FinTech
Specialty
DevOps
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
DevOps
Experience
5+ years
Tech stack
  • Python
  • Go
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • CI/CD
  • Jenkins
  • GitHub Actions
  • GitLab
  • Prometheus
  • Grafana

Location

Work model
Hybrid
Region
United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Company

Industry
FinTech

Requirements

Languages
  • English (B2)
  • Spanish (B2)

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