DevOps Engineer with Azure and Kubernetes

- Proven experience with Amazon AWS, GCP, and Azure in an enterprise context; personal use is not considered equivalent. - Proficiency in managing Kubernetes technology stacks (K8s, EKS, GKE, Helm, Prometheus, Cortex, Grafana, Istio, etc.). - Strong familiarity with version control and release management principles and tools, especially Git, GitHub, SVN, and Bitbucket. - Skilled in implementing and managing DevOps methodologies and toolsets like Chef, Terraform, Jira, Slack, Vault, and Python. - Understanding of deployment practices leveraging CI/CD processes and technologies such as Jenkins, TeamCity, Tekton, Spinnaker, Octopus, and CodeDeploy. - Clear recognition that implementing security principles and tools is essential. - Knowledge of modern authentication mechanisms (OIDC, SSO, SAML, Federation). - Proficient in managing Linux and Windows technology stacks, including Ubuntu, Windows Server, Nginx, Apache, MySQL, PHP, IIS, MS SQL, and .NET. - Experience in building and supporting solutions using both serverless and server-based infrastructures in AWS, Azure, and GCP. - Familiarity with serverless technologies such as K8s, RDS, Lambda, SNS, SQS, S3, BigQuery, EKS, GKE, BigTable, Azure AD, Azure B2C, API Gateway, CloudFront, and Lambda@Edge. - Solid understanding of key cloud design principles like High Availability (HA), Elastic Load Balancing (ELB), Least Privilege, Resiliency, Ephemeral Computing, Stateless Computing, Virtual Networking, and Scaling. - In-depth knowledge and practical experience with key AWS technologies, including EC2, S3, RDS, Redshift, CloudWatch, CloudFormation, CloudTrail, Storage Gateway, VPC, Transit Gateway, Dedicated Instances, Large Memory U-Type Instances, and Lambda. - In-depth knowledge and practical experience with key GCP technologies such as Compute Engine, BigQuery, IAM, BigTable, VPC, Shared VPC, Flow Logs, and Cloud Functions. - Minimum of 5 years of experience in delivering IT infrastructure and cloud projects involving multiple stakeholders and delivery teams. - Extensive hands-on experience in technical server and enterprise storage management across all three major cloud providers (AWS, Azure, GCP). - Practical, hands-on experience with primary DevOps toolsets including Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, and Slack. - Hands-on experience with primary serverless technologies like k8s, GKE, EKS, Lambda, and RDS. - Practical experience with primary VM technologies including EC2, Dedicated Instances, and Compute Engine. - Proficient in scripting languages such as Python, PowerShell, Golang, AWS CLI, GCP CLI, and Bash. - Hands-on experience with various Linux distributions, including AWS Linux, Ubuntu, and SLES. - Hands-on experience with Windows environments. - Familiarity with Kubernetes and its tooling framework (K8s, EKS, GKE) alongside related tools like Grafana, Prometheus, and Cortex. - Experience with other tools such as Dynatrace, Azure AD, Intune, SEP, Redlock, Prisma Cloud, SAP, and GoAnywhere. - Bachelors or equivalent degree in an IT-related field is required; MCSE, AWS, GCP, and UNIX certifications are highly desirable.