Join our dynamic Engineering, AI & Data team as a Senior Analyst, focusing on Azure technologies. We are dedicated to reimagining and re-engineering mission-critical operations through an engineering-led design approach. Leverage deep industry knowledge and AI-driven insights to transform technology platforms.

Our team empowers the development and implementation of cutting-edge solutions, whether modernizing existing systems or launching new digital products. We drive innovation to enhance financial performance, accelerate new digital businesses, and fuel growth.

This role offers the opportunity to work on exciting projects within the Azure ecosystem, contributing to the advancement of our technological capabilities.

Apply DevOps best practices to streamline application development and deployment processes.

Build and maintain robust CI/CD pipelines utilizing Azure DevOps and GitHub Actions.

Support seamless application deployments across various Azure environments, including Development, User Acceptance Testing (UAT), and Production.

Actively participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives to ensure efficient team collaboration.

Conduct thorough peer reviews for code, configurations, and pipeline changes to maintain high quality standards.

Contribute to continuous process improvements and drive automation initiatives to enhance efficiency.

Collaborate closely with development, testing, and infrastructure teams to guarantee smooth and timely project delivery.

Acquire hands-on experience with Azure DevOps (Pipelines, Repos) and Git version control systems.

Develop a foundational understanding of Infrastructure as Code tools like Terraform, ARM Templates, or Bicep.

Gain familiarity with containerization technologies such as Docker and the core concepts of Kubernetes.

Demonstrate scripting proficiency in PowerShell, Bash, or Python for automation tasks.

Possess a basic yet functional understanding of Azure services including App Service, AKS, Functions, Storage, and SQL.

Exhibit a solid grasp of Git branching strategies, including GitFlow or trunk-based development.

Showcase practical experience with monitoring and logging tools for application performance analysis.

Familiarize yourself with DevSecOps practices to integrate security into the development lifecycle.