Cloud DevSecOps Engineer AI-Enabled Cloud Automation
Overview
Lead ownership of cloud infrastructure automation delivering secure scalable solutions across AWS Kubernetes environments. Drive CI CD pipelines that integrate AI capabilities while scaling container orchestration. Shape technology roadmap through hands-on expertise in Spark Airflow and modern DevSecOps practices.
What You'll Do9
- 1Design Build pipelines using Spark Airflow to automate cloud provisioning
- 2Implement security controls within CI CD workflows for container deployments
- 3Scale Kubernetes clusters using Terraform and Helm templates
- 4Optimize resource utilization through cost monitoring and right-sizing
- 5Drive continuous improvement by integrating observability tools
- 6Own migration of legacy workloads to serverless architectures
- 7Debug complex pipeline failures using distributed tracing techniques
- 8Deliver measurable performance improvements within first ninety days
- 9Collaborate cross-functionally to define automation standards
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading cloud transformation initiatives
- 3AWS Certified as a foundational requirement
- 4Kubernetes certification preferred
- 5Python proficiency essential
- 6DevSecOps best practices mandatory
- 7CI/CD tooling expertise required
- 8Container orchestration skills necessary
- 9Infrastructure as Code experience vital
- 10Automated testing frameworks expected
- 11Monitoring solutions implementation background
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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