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Company Overview
A leading healthcare organization is seeking an experienced cloud engineering professional to oversee and enhance its cloud infrastructure and services. The organization supports modern technology initiatives involving cloud-native applications, Generative AI, machine learning, data engineering, Databricks environments, and DevOps frameworks.
Key Responsibilities
Design, implement, and manage scalable cloud infrastructure across AWS, Azure, and Google Cloud to support modern applications and AI/ML workloads.
Develop solution architectures and business cases for emerging technology initiatives, including Generative AI solutions.
Collaborate with data engineering teams to improve data pipelines and maintain Databricks environments.
Present and defend technical solutions, approaches, timelines, and critical project considerations to stakeholders and senior leadership.
Enable and maintain CI/CD pipelines and infrastructure-as-code practices using technologies such as Terraform, GitHub Actions, and Azure DevOps.
Provide technical support to internal teams and promptly resolve cloud infrastructure and service-related issues.
Conduct root cause analysis and implement preventive measures to reduce recurring technical issues.
Monitor cloud services to ensure efficient, reliable, and secure operations.
Implement performance tuning and optimization strategies to improve cloud performance and manage costs.
Ensure cloud environments comply with organizational security policies and applicable compliance requirements.
Implement and manage security controls, including firewalls, encryption, identity management, and access controls.
Develop and maintain automation scripts to streamline cloud operations and reduce manual intervention.
Support the deployment and lifecycle management of Generative AI models and machine learning workflows.
Generate reports related to cloud usage, performance, security, and operational health.
Independently lead projects and engage senior management, including department leaders and executives, on technical initiatives and outcomes.
Required Qualifications
Bachelor’s degree in Information Technology, Information Systems, Business Management, Business Analytics, Business Administration, or a directly related field from an accredited college or university.
At least 7 years of progressively responsible and directly related professional experience.
10 years of progressively responsible and directly related experience is preferred.
Proficiency in major cloud platforms, including AWS, Azure, and Google Cloud.
Strong understanding of cloud service models, including IaaS, PaaS, and SaaS.
Experience supporting modern applications, Generative AI models, and machine learning workflows.
Strong understanding of cloud security architecture, data protection, identity management, and compliance requirements.
In-depth knowledge of cloud networking architecture, including virtual networks, firewalls, load balancing, and DNS.
Strong understanding of automation technologies, containerization, and DevOps practices, including Docker and Kubernetes.
Strong technical expertise in cloud infrastructure deployment, configuration, maintenance, and management.
Ability to monitor cloud environments and optimize performance, reliability, and cost.
Proven ability to diagnose and resolve complex cloud infrastructure issues.
Experience implementing security controls such as firewalls, encryption, and access management.
Ability to maintain comprehensive technical documentation.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills for working with cross-functional teams.
Ability to adapt to emerging technologies and continuously develop cloud computing expertise.
Experience managing cloud projects from planning through execution and monitoring.
Strong awareness of cloud security best practices and their practical implementation.
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