Durga Sirisha Karuturi
Open to work2 years experienceDevOps Engineer
DevOps Engineer specializing in Kubernetes, cloud infrastructure, and automation.
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Skills & Technologies
28 skillsWork Experience
DevOps Engineer
SIFY Technologies Limited
- Engineered a self-service Database-as-a-Service (DBaaS) platform on Kubernetes using Terraform, vCluster, KubeBlocks, Helm, PostgreSQL, and MinIO, reducing database provisioning time from hours to under 10 minutes (~85% faster).
- Developed reusable Terraform modules for vCluster and PostgreSQL deployments, cutting per-environment configuration effort by ~60% compared to manual Helm deployments.
- Implemented multi-tenant isolation using vCluster, with Terraform remote state secured in MinIO under unique per-deployment paths to enable concurrent, conflict-free tenant provisioning.
- Automated the end-to-end PostgreSQL lifecycle (high availability, replication, failover, backup/restore) via the KubeBlocks operator, reducing manual DBA operational overhead by ~70%.
- Standardized addon provisioning for pgAdmin and pgvector, expanding platform capabilities to support database administration and AI/ML vector embedding workloads.
- Integrated Prometheus and Grafana to establish centralized observability across all tenant environments, tracking database health, resource utilization, and backup success metrics.
- Built a self-service Kubernetes-as-a-Service (KaaS) platform on vSphere using Terraform, Kubespray, Ansible, and Bash scripting, reducing end-to-end cluster provisioning time by ~80%.
- Engineered highly available control planes using HAProxy, Keepalived, and Kube-VIP, eliminating single points of failure and ensuring 99.9%+ API endpoint availability.
- Developed Ansible playbooks via the Kubespray addon framework to automate Rancher, OpenEBS (CSI), and NGINX Ingress deployments, cutting post-provisioning configuration effort by ~70%.
- Integrated Zabbix monitoring with ServiceNow and alerting workflows, reducing mean time to detect (MTTD) and troubleshoot infrastructure incidents by ~60%.
- Automated day-2 cluster lifecycle operations, including horizontal scaling, minor/major version upgrades, and node pool management, ensuring consistent, repeatable deployments.
- Developed GitHub Actions CI/CD workflows to automate end-to-end build, test, and deployment pipelines, increasing delivery speed by ~50% and ensuring deployment consistency.
- Integrated SonarQube, OWASP Dependency-Check, Trivy, and TruffleHog into CI/CD pipelines, enabling automated code, dependency, container, and secret scanning.
- Implemented Kubernetes policy enforcement using Kyverno to validate security standards, resource configurations, and compliance requirements, preventing non-compliant workloads from reaching production.
- Orchestrated GitOps-based deployments by automating Docker image builds pushed to Harbor Registry and syncing manifest updates, cutting manual deployment overhead by ~60%.
- Implemented Kubernetes continuous delivery via Argo CD to handle version-controlled deployments and automated synchronization, reducing mean time to rollback (MTTR) by ~70%.
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About Details
Professional Bio
DevOps Engineer with 2 years of experience in Kubernetes, cloud infrastructure, and automation. Experienced in building self-service KaaS and DBaaS platforms using Terraform, Ansible, Helm, and AWS. Skilled in CI/CD, GitOps, IaC, monitoring, and highly available cloud-native platforms.
Bachelor of Technology (B.Tech) in Computer Science and Engineering
Vishnu Institute of Technology (2020 - 2024)