Cloud DevOps

About the role

At Izertis, we are looking to expand our team by bringing in a Cloud DevOps professional.

You will be part of SCIB Data & AI, driving the implementation, automation, and operation of cloud-native solutions in Azure and AWS environments. Your work will help build reliable, secure, and scalable platforms for data, analytics, and artificial intelligence use cases, applying DevSecOps practices and a strong orientation toward operational excellence.

We are redefining the way we work through innovation, cutting-edge technology, collaboration, and the freedom to explore new ideas.

What you'll do

In this role, your main responsibilities will include:

• Implement and evolve cloud-native solutions in multi-cloud environments, primarily Azure and AWS.
• Define, maintain, and automate infrastructure as code with Terraform and equivalent tools such as Bicep or CloudFormation.
• Build and maintain CI/CD pipelines with GitHub Actions, Azure DevOps, or Jenkins, integrating quality and security controls.
• Automate deployments, configurations, and lifecycle management of production systems.
• Operate container-based platforms and Kubernetes, especially AKS and EKS, including Docker and Helm where applicable.
• Integrate workflow orchestration tools such as Airflow, Control-M, or similar schedulers.
• Implement monitoring, logging, and observability capabilities with Prometheus, Grafana, ELK, Dynatrace, and cloud-native tools.
• Collaborate with Data Engineers, Data Scientists, Product Owners, and platform teams to ensure reliability, scalability, security, and alignment with product objectives.

What we're looking for

4 years of experience working on and implementing cloud-native solutions in multi-cloud Azure and AWS environments.

Demonstrated experience in deployment, automation, and lifecycle management of production systems.

Experience working with cross-functional teams of Data Engineers, Data Scientists, Product Owners, and platform teams.

Experience in technical leadership, mentoring, and contributing to architectural decisions.

Experience supporting or integrating AI/ML workloads in production environments.

Nice to have

Technical skills

Infrastructure as Code with Terraform and equivalent tools such as Bicep or CloudFormation.

CI/CD with GitHub Actions, Azure DevOps, or Jenkins, including integration with SonarQube, Fortify, or other quality and security tools.

Containerization and orchestration with Docker and Kubernetes, especially AKS and EKS.

AWS cloud services: EC2, S3, EKS, Lambda, ApiGateway, RDS, IAM, VPC, ELB, and CloudWatch.

Azure cloud services: AKS, Azure DevOps, Data Factory, Key Vault, and Azure Monitor.

Monitoring, logging, and observability with Prometheus, Grafana, ELK, Dynatrace, and cloud-native tools.

DevSecOps practices and security frameworks applied to cloud environments.

Workflow orchestration tools such as Airflow, Control-M, or similar schedulers.

Cloud data platforms such as Databricks, Cloudera, or similar big data ecosystems.

Python programming for automation, scripting, and tooling.

Advanced experience with Kubernetes, AKS/EKS, and Helm.

Knowledge of SQL, data pipelines, ETL with Python or Spark, REST APIs, and testing with Pytest or similar frameworks.

Knowledge of MLflow, Kubeflow, Kafka, Event Hubs, Kinesis, ElasticSearch, MongoDB, PostgreSQL, Starburst, Power BI, or similar tools.

Infrastructure governance and policies with Azure Policy, AWS Organizations, or equivalent capabilities.

Interpersonal skills

High level of ownership, autonomy, organization, and problem-solving ability.

Solid communication skills to present technical solutions to both technical and non-technical stakeholders.

Ability to collaborate with multidisciplinary teams and orientation toward product objectives.

Business orientation with a focus on reliability, scalability, cost optimization, and alignment with area objectives.

Education & certifications

Education

University degree in Computer Engineering, Telecommunications, Mathematics, Physics, or an equivalent technical discipline.

Cloud, DevOps, Kubernetes, or security certifications in Azure, AWS, or equivalent technologies.

Languages

Fluent English, minimum B2.

Fluent Spanish.

What you'll get

Permanent contract

Salary agreed upon, adapting to your experience and expectations.

Flexible compensation package where you can contract medical insurance, meal vouchers, childcare vouchers, or transportation.

You can enjoy free English classes to acquire a higher level or reinforce the one you already have.

You can enjoy 22 working days of vacation and your birthday off.

How you'll work

Madrid, hybrid model

About the company & team

At Izertis, we drive the digital transformation of companies, organizations, and people through customized, innovative, and impactful technological solutions.

Founded in 1996, with 30 years of history and included in the BME Continuous Market, izertis establishes itself as one of the 1000 fastest-growing companies among European countries.

Currently, we are more than 2,300 professionals distributed in offices across Europe, America, and Africa, with a presence in more than 50 countries where we provide services and projects through a wide portfolio of solutions such as:

Software Engineering; Consultancy & Governance; Cloud & Infrastructure; Cybersecurity; AI & Data & Emerging Technologies; CX & Business Solutions and other technologies that enable transformation processes.

And you, would you like to join our team? If so, don't hesitate to apply so that the Talent team can get to know you!

Also, don't forget to check the job offers section of our website for other options that may be interesting to you:

https://www.izertis.com/es/talento