Cloud Engineer (Azure)

· Manage cloud infrastructure, automate and streamline operations, and maintain deployment tools. · Develop automated deployment pipelines and Infrastructure-as-Code (IaC) templates. · Automate cloud operations (monitoring, scaling, backup, disaster recovery). · Provide expertise in cloud architecture and modern infrastructure practices. · Automate infrastructure provisioning using IaC. · Design and optimize cloud architecture for performance, cost, security, and scalability. · Recommend cloud best practices and process improvements. · Contribute to team objectives and support cloud migration initiatives. · Design and implement cloud monitoring and management solutions. · Prepare technical documentation and present architecture proposals. · Deploy and test cloud infrastructure in development environments (CI/CD). · Research new technologies for enterprise automation solutions. · Investigate and resolve complex cross-application/technology issues. · Ensure documentation is clear for diverse audiences. · Provide feedback on internal processes and recommend improvements. · Decompose tasks and provide status updates.

· Secret Security Clearance (T5 investigation level) · Bachelor’s Degree in Software Engineering, Computer Science, or related field · 5+ years of experience in a cloud engineering role · IAT Level II certification or equivalent · 3+ years of technical experience with Azure, AWS, or GCP · Experience in a DevOps role or similar overseeing complex IT infrastructure · Experience with Ansible automation platform · Experience with IaC tools (Terraform, CloudFormation, ARM Templates) · Ability to design, deploy, and manage multi-tier cloud applications and services · Experience with containerization (Docker, Kubernetes) · Working knowledge of Agile frameworks and Scrum · Understanding of cloud networking, security, and cost optimization · Strong documentation and oral communication skills Preferred Qualifications: · CI/CD tools (Jenkins, GitLab CI, Azure DevOps, GitHub Actions) · Configuration management and automation platforms (Ansible, Chef, Puppet) · Programming/scripting languages (Bash, Python, HTML) · Git, GitLab, GitLab Pipelines, Artifactory, Confluence, Jira · IDEs (e.g., Visual Studio Code) for Git management · Cloud computing infrastructure (AWS, Microsoft Azure, Red Hat OpenShift) · Monitoring and observability tools (Prometheus, Grafana, ELK Stack) · Microservices architecture and serverless computing · Database administration in cloud environments · Security best practices and compliance frameworks · Cost optimization and FinOps practices