DevOps / SRE Engineer
hace 2 semanas
Skillset
- CI/CD & Automation: Azure DevOps, Azure Pipelines, GitHub, SonarQube, jfrog
- Cloud & Infrastructure: Azure Cloud, Azure App Service, Application Gateway, Azure Key Vault, APIM, Azure Cosmos DB
- Containerization & Orchestration: Kubernetes, Docker, OpenShift
- Data & Messaging: HDInsight Kafka
- Networking: Strong understanding of cloud networking concepts
- Infrastructure as Code (IaC): ARM Templates, Terraform
- Scripting: Bash / Python (preferred)
- Additional Tools: Monitoring and logging solutions, Release & Deployment methodologies
- Minimum: 5–6 years in Cloud CI/CD, preferably in Azure environments.
- Hands-on experience with container orchestration (Kubernetes) and infrastructure automation.
- Strong background in pipeline development, infrastructure provisioning, and application deployment.
- Familiarity with security best practices, AAD integration, and data/event flow concepts.
- Bonus: Knowledge of ML workflows and Lightbend Cloudflow.
- Design and implement Azure YAML pipelines for CI/CD, including Quality Gates to ensure code quality.
- Apply SCM best practices using Git for version control and collaboration.
- Set up and manage Azure infrastructure as required by engineering teams.
- Automate infrastructure provisioning using Terraform/ARM and integrate with pipelines.
- Administer and optimize Kubernetes clusters and containerized workloads.
- Troubleshoot complex application and infrastructure issues, ensuring reliability and performance.
- Develop scripts to automate frequent tasks and integrate them into CI/CD workflows.
- Understand AAD application registration and backend interactions for secure deployments.
- Collaborate with teams to ensure smooth release and deployment processes.
- Maintain documentation and dashboards for visibility and knowledge sharing.
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