Cloud Automation Engineer

Job Summary

At Vantage Bank, we're driven by a deep commitment to supporting our customers, valuing our employees, embracing diversity, fostering meaningful connections, and providing outstanding service every step of the way.

The Cloud Automation Engineer designs, deploys, and maintains secure Azure cloud infrastructure for development, engineering, and data analytics. They focus on automating CI/CD pipelines, implementing security practices, and managing DTAP environments while ensuring compliance and vulnerability management. The Cloud Automation Engineer supports AI and Databricks workflows, integrates health monitoring, optimizes analytics deployment, and incorporates automated security checks. They collaborate with IT, engineering, data, and product teams, all while delivering reliable and compliant solutions that align with agile and Dev Sec Ops  principles.

• Develops and manages automated pipelines (using tools like Azure Dev Ops, Git Hub Actions, Databricks Jobs and Workflows, etc.) for seamless application code deployments and infrastructure provisioning, ensuring repeatability, compliance, and industry best practices across all DTAP environments, including integration with Azure Kubernetes Service (AKS), containerization, and event-driven architectures.
• Implements automation strategies and best practices for environment segregation, access control, and secure deployment to Development, Test, Acceptance, and Production stages, including Databricks workspace configuration, access management, and Azure service registration.
• Continuously monitors, traces, and assesses the health and performance of deployed infrastructure using Azure Monitor, Application Insights, Databricks monitoring tools, and other observability solutions, proactively identifying and resolving issues, with attention to Postgre
  
  SQL/SQL databases and supporting event/topic subscriptions.
• Supports and automates deployment pipelines for AI, data engineering, and Databricks code, ensuring scalable and reliable delivery of advanced analytics, machine learning workloads, and integration with cloud-based AI/ML models.
• Integrates automated compliance and security checks into deployment pipelines, including static/dynamic code analysis, vulnerability scanning, secrets management, Databricks security validations, and adherence to regulatory and organizational requirements.
• Works collaboratively with developers, data engineers, and product teams to reinforce agile methodologies, ensure code quality, and streamline release cycles, including coordination around Databricks workflow integration and collaborative development practices.
• Documents architecture, pipelines, operational procedures, and incident response protocols—including Databricks workflows and operational best practices—enabling transparency, knowledge transfer, and continuous improvement across teams.
• Applies a working knowledge of agile principles, continuous delivery, and modern Dev Ops processes (including Infrastructure as Code tools such as Terraform, Ansible, and Azure Resource Manager), adapting practices to enhance team productivity and project outcomes, with emphasis on Databricks integration and automation.
• Leverages AI tools, coding assistants, prompt engineering, and Databricks capabilities to optimize productivity, accelerate development, automate repetitive tasks, and support cloud-based data engineering and AI/ML workloads.
• Remains updated on the latest Azure, Databricks, automation, security, and AI technologies, contributing to continuous process improvement and evolving best practices in cloud engineering and Dev Ops.
• Other duties as assigned.

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field.
• 4+ years of experience in cloud engineering, Dev Ops, or automation roles, preferably with hands‑on exposure to Azure or Databricks cloud platforms.
• Demonstrated proficiency with Azure Kubernetes Service (AKS), containers, Kubernetes orchestration, relational databases (Postgre
  
  SQL/SQL), Azure service registration, and event‑driven architecture.
• Advanced skills in pipeline automation,…