Software Development Life Cycle, AI-assisted software development tools, Data sensitivity considerations

Terraform, AWS, Gcp, metrics, Azure, Kubernetes, service mesh, GitOps, managed Kubernetes, Go, observability tooling, tracing, GKE, container networking, secrets management, Crossplane, AKS, EKS, workload identity, certificate lifecycle, infrastructure-as-code, SLOs, mTLS, cni

Unix, Prometheus, Grafana, Sql, React, Linux, Postgres, Splunk, Kubernetes, Python, PagerDuty, Confluent Kafka, Azure Event Hub, Java Spring Boot

Aws Cloud, AWS, Cloud Engineering Kubernetes, EKS, CICD Pipeline, GitOps

Java, Github, Machine Learning, Kafka, Groovy, Microservices, Devops, Jenkins, Git, Cloud, Ansible, Python, Ai

Docker, Kubernetes, Containerd, Container orchestration, Linux systems administration, GitOps

Containers, Incident Management, Gcp, Terraform, Change management, Technical Leadership, Release management, Kubernetes, AWS, AI tools, Crossplane, Customer Support, Team Management, OpenTofu, MCP

AWS, Emr, Python Scripting, Kubernetes, Terraform, Spark, Go, Flink