Dev Ops, Machine Learning

Automation Tools, Continuous Integration, Databricks Unified Data Analytics Platform, container orchestration technologies, cloud platforms, continuous deployment methodologies, infrastructure as code, security practices related to software development and deployment

Automation Scripting, Google Cloud Platform, Prometheus, Elk Stack, Continuous Integration, Continuous Deployment, Shell script, Python, Infrastructure as Code, Containerization technologies, networking and firewall configurations, monitoring and logging tools, Docker Containers, GCP Native Services

Storage, Databases, Gcp, Networking, Terraform, Iam, Azure, Helm, Kubernetes, AWS, Kustomize, Compute

Devops Automation, Docker, Kubernetes, Jenkins, Terraform, CI/CD

Gcp, Kubernetes, Docker, Terraform, Networking, CI/CD, Monitoring

Kubernetes, Linux Administration, Docker, Helm, Git workflows, Automation practices, AWS Cloud Services, DevOps principles, Security networking and firewall configurations

Docker, Kubernetes, AWS, Linux, Terraform, Git, Scripting, Networking, CI/CD, Monitoring

Kubernetes, Github, Incident Response, Linux Networking, Terraform, Docker, Gitlab, Azure DevOps, Cloudformation, Jenkins, Dashboards, Ansible, metrics, security basics, alerting, artifact signing, ML GenAI delivery, observability, model packaging, tracing, secrets management, DevOps practices, centralized logging, monitoring hooks, Infrastructure-as-Code, dependency scanning

solace , Core Java, Sql, Splunk, Cloud, Dynatrace, Bdd, Kafka, Machine Learning, Ibm Mq, Artificial Intelligence, Servicenow, Software Development Life Cycle, Tdd, CI/CD, AI development tools, Mocking frameworks, Application resiliency, Enterprise-authorized AI-assisted software development tools, Ignite, Security