Dandu Gayathri
I’m a DevOps Engineer with an SRE mindset and 6+ years of IT experience, specializing in cloud infrastructure, CI/CD automation, and Kubernetes-based delivery for data and application platforms.
About
I’m a DevOps Engineer with an SRE mindset and 6+ years of IT experience, specializing in cloud infrastructure, CI/CD automation, and Kubernetes-based delivery for data and application platforms. I’ve worked hands-on across Azure, AWS, and GCP, using Infrastructure as Code to build consistent environments and reduce deployment risk.
I enjoy building reliable, observable systems using tools like Prometheus, Grafana, CloudWatch/Azure Monitor, and Datadog, and I’ve implemented safer release strategies such as Blue-Green and Canary to improve uptime. I also focus on DevSecOps practices—secure secrets handling, least-privilege access, and governance—and I’ve automated operational workflows with Python, Bash, and Terraform to help teams deliver faster with confidence.
- 4 years' experience
- Joined November 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Professional Services
- Education
Work experience· 5 roles
Set up the complete DevOps foundation for the Hiscox project at the client Sutherland, covering CI/CD, environment provisioning, and source control. Designed and implemented CI/CD pipelines to automate build, test, and deployment workflows, reducing manual releases and deployment errors. Defined a Git branching strategy (feature/release/hotfix) with PR reviews and branch protection for predictable, high-quality releases. Provisioned and standardized Dev, QA, and Production environments using reusable Terraform modules, workspaces, and remote state with environment-specific variables. Containerized services with Docker and published versioned images to a registry for consistent multi-environment deployments. Applied tagging standards for cost governance and secured pipelines using secrets management and least-privilege IAM.
Set up the DevOps foundation for the Hiscox project at Sutherland, covering CI/CD automation, environment provisioning, and source control to enable faster and more reliable delivery. Designed CI/CD workflows to automate build, test, and deployment steps, reducing manual releases and deployment errors. Implemented a Git branching strategy with feature/release/hotfix flows, pull request reviews, and branch protection rules. Provisioned standardized Dev, QA, and Production environments using reusable Terraform modules with workspaces and remote state plus environment-specific variables. Containerized services with Docker and published versioned images to a registry for consistent deployments. Applied tagging for cost visibility and governance and secured pipelines via secrets management and least-privilege IAM access, along with monitoring and alerting for stability.
Automated infrastructure provisioning across AWS and Azure using Terraform modules, CloudFormation, and Azure Bicep with remote backends, state locking, and versioning for safe collaboration. Automated deployments across Dev, QA, Stage, and Performance/Production using Spinnaker and CI/CD pipelines in GitHub Actions and Azure DevOps. Managed Kubernetes deployments (EKS/AKS) including Deployments, Services, Ingress, ConfigMaps, Secrets, HPA, health probes, and namespaces. Supported Airflow-based data workflows by deploying and monitoring them through CI/CD on Kubernetes. Standardized repository creation with Backstage and enforced repository access controls. Implemented monitoring and alerting with CloudWatch, Azure Monitor, Prometheus, and Grafana and enforced consistent Git branching, PR, and tagging strategies. Delivered disaster recovery and backup strategies and managed SSL/TLS certificates for HTTPS applications, and provided production support with troubleshooting and RCA for bot
Education
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