Data & AWS DevSecOps (100% Remote)

WHAT WILL YOU DO AT DEVOTEAM?

You will work as a DevSecOps professional within the Data ecosystem, contributing to the evolution and operation of data platforms and products in Cloud environments.

Your main responsibilities will include:

• Acting as a technical point of contact for Data & Analytics, providing support and guidance on technical needs and incidents related to different use cases.
• Analyzing and estimating new requirements, particularly those related to data platform components and data products.
• Advising on the Data reference architecture and validating architectures proposed for new projects.
• Collaborating on the definition and evolution of data platform components, ensuring alignment with corporate standards.
• Supporting the definition of the architecture for new data products and use cases.
• Advising technical teams on architecture, development, security and operational best practices.
• Contributing to improvements in governance, security, documentation, observability and cost management across the data platform.
• Participating in the technical assessment of new profiles and vendors, including interviews and candidate evaluations.
• Maintaining and reviewing technical documentation related to the data architecture and platform.

WHAT ARE WE LOOKING FOR?

• More than 5 years of experience in IT and Data environments, particularly in roles related to DevSecOps, architecture or data platforms.
• University degree in Computer Science, Telecommunications Engineering or a related technical field.
• Strong knowledge of data architectures and Cloud environments, particularly AWS.
• Experience with Python, SQL and databases, as well as Big Data technologies and ecosystems.
• Knowledge of Cloud and Data security, including IAM, permissions and roles, access management, encryption, anonymization and data segregation.
• Experience with automation, Infrastructure as Code, ETL/orchestration, monitoring and observability tools.
• Knowledge of ITIL processes and Agile methodologies such as Scrum and Kanban.
• Ability to act as a technical reference, advising different teams and aligning technology decisions with business needs.
• B2-C1 level of English.

Experience with technologies such as Snowflake, DynamoDB, Spark, Hadoop, Airflow, Terraform, CloudFormation, Glue, OpenSearch/Elastic, Kibana, Denodo, Starburst or similar tools will be considered a plus.