Azure Devops Engineer

Key Responsibilities:

Cloud Infrastructure & Architecture:

• • Design, provision, and configure cloud infrastructure within Azure using IaC
• principles to ensure automation, consistency, and scalability.
• • Review existing cloud implementations and design a future-proof architecture for the
• Data and Analytics platform.
• • Define and implement standardised naming conventions and cloud configurations for
• a structured, manageable environment.
• Security and Access Management:
• • Configure robust Identity and Access Management (IAM) and User Access
• Management (UAM) to ensure secure and controlled access to all data resources.
• • Enforce data security and governance policies in line with organisational standards.
• Environment Setup and CI/CD:
• • Establish and configure distinct environments (Development, Testing, Staging,
• Production) to support strong CI/CD processes.
• • Configure and optimise data storage components, such as Data Lake Storage, and data
• governance tools (e.g., Unity Catalog) to support the Medallion architecture.
• • Integrate and configure SDLC tools, including source code management and CI/CD
• pipelines, to manage code repositories and automated deployments.
• • Implement and maintain CI/CD pipelines for infrastructure, data pipelines, data
• models, and BI report deployments across environments.

Testing Infrastructure:

• • Provide infrastructure to facilitate comprehensive testing, including Unit Testing,
• Regression Testing, System Integration Testing, and User Acceptance Testing (UAT).
• Core Deliverables & Success Criteria:
• • Foundational Stability: Deliver a robust, scalable, and future-proof data and
• analytics platform.
• • Documentation Completeness: Provide comprehensive documentation covering
• architecture, data flows, governance policies, environment configurations, and
• IAM/UAM setup.
• • Operational Multi-Environment Setup: Ensure Development, Testing, Staging, and
• Production environments are fully operational and support strong CI/CD processes.
• • Access Control: Implement effective security controls, including robust IAM and
• UAM, to protect data resources.

Required Qualifications & Experience:

• 5+ years experience in cloud infrastructure provisioning and configuration, ideally

with Azure (Databricks, Data Lake Storage, Key Vault).

• Expertise in Infrastructure as Code (IaC) tools and practices.
• Strong experience designing and implementing CI/CD pipelines using tools such as

• Azure Pipelines or GitHub Actions.
• • Deep understanding of data storage concepts and data governance, particularly the
• Medallion architecture.
• • Experience setting up and configuring data platforms for multiple Software
• Development Lifecycle (SDLC) stages.

• Strong problem-solving, communication, and collaboration skills.
• Excellent command of English (written and verbal) is required.
• Ability to work effectively across LATAM time zones is required.