Saish Kothawade

Collaborated across multiple cross-functional teams (dev, QA, product) in Agile environment using JIRA, leading DevOps sprint activities, coordinating release planning, conducting incident post-mortems, and establishing SRE principles that has reduced both mean recovery time as well as production incidents.Architected a lightweight & secure full-stack monitoring solution for client environments. Aurora, a Go-based agent with real-time metrics collection of Podman containers, Kubernetes resources, databases, and servers featuring RSA encrypted payload transmission. Helios, React + FastAPI dashboard with JWT auth, RBAC, real-time metrics, automatic recovery detection, intelligent alerting, and slack integration. Deployed across 10 air-gapped production environments.Built Ark, a containerized, air-gapped Kubernetes installer that provisions single-node clusters without internet access using Kubespray & Ansible, eliminating all external registry dependencies by copying 20+ control-plane and addon images directly into containerd, reducing CVE surface and cluster-setup time by over 60%.Deployed zero-downtime, production-grade PostgreSQL cluster using Patroni, etcd, and HAProxy for an enterprise client achieving 99.99% uptime while processing 10 lakh+ TPM at peak load with automated failover, monitoring, backup retention, and bidirectional prod-DR synchronization.Contributed to standardized, flexible deployment framework automating Kubernetes cluster provisioning (Ark), DevOps toolchain setup (Jenkins, Nexus, OpenSearch, APISIX, Nginx), comprehensive monitoring (Prometheus, Grafana, Fluentbit), and automated maintenance workflows, accelerating client onboarding from 14 days to 3 days.Built automated infrastructure provisioning bash scripts to deploy and configure Podman-based tools, monitoring & logging stack, and API gateway with SELinux compliance, credential management, volume management, and Terraform-driven grafana configuration across dev/staging/production environments.Maintained reusable Jenkins Shared Library in Groovy for automated CI/CD pipelines, featuring Git-based change detection, dynamic Kubernetes deployments, database migration, and automated testing across multiple environments reducing deployment time from 1 hour to under 15 minut es and enhancing resource utilization by 30% through parallel podman multi-stage image builds for 13 Go-based microservices & 15+ clients.Developed optimized Airflow DAGs for workflow automation, system monitoring, enabling end-to-end orchestration of stock brokers’ BOD-EOD scripts.Designed and deployed a highly available, fault-tolerant Apache Airflow architecture with Celery Executor for distributed task execution, leveraging clustered RabbitMQ, HA PostgreSQL with Patroni, etcd, and HAProxy for load balancing.

Collaborated across multiple cross-functional teams (dev, QA, product) in Agile environment using JIRA.
Led DevOps sprint activities.
Coordinated release planning.
Conducted incident post-mortems.
Established SRE principles that reduced mean recovery time and production incidents.
Architected a lightweight and secure full-stack monitoring solution for client environments.
Built Aurora, a Go-based agent with real-time metrics collection of Podman containers, Kubernetes resources, databases, and servers.
Implemented RSA encrypted payload transmission.
Built Helios, a React + FastAPI dashboard with JWT auth, RBAC, real-time metrics, automatic recovery detection, intelligent alerting, and Slack integration.
Deployed the solution across 10 air-gapped production environments.
Built Ark, a containerized, air-gapped Kubernetes installer that provisions single-node clusters without internet access using Kubespray and Ansible.
Eliminated external registry dependencies by copying 20+ control-plane and addon images directly into containerd.
Reduced CVE surface and cluster-setup time by more than 60%.
Deployed a zero-downtime, production-grade PostgreSQL cluster using Patroni, etcd, and HAProxy for an enterprise client.
Achieved 99.99% uptime.
Processed 10 lakh+ TPM at peak load.
Implemented automated failover, monitoring, backup retention, and bidirectional prod-DR synchronization.
Contributed to a standardized, flexible deployment framework automating Kubernetes cluster provisioning, DevOps toolchain setup, comprehensive monitoring, and automated maintenance workflows.
Accelerated client onboarding from 14 days to 3 days.
Built automated infrastructure provisioning bash scripts to deploy and configure Podman-based tools, monitoring and logging stack, and API gateway.
Implemented SELinux compliance, credential management, volume management, and Terraform-driven Grafana configuration across dev/staging/production environments.
Maintained reusable Jenkins Shared Library in Groovy for automated CI/CD pipelines.
Implemented Git-based change detection, dynamic Kubernetes deployments, database migration, and automated testing across multiple environments.
Reduced deployment time from 1 hour to under 15 minutes.
Enhanced resource utilization by 30% through parallel Podman multi-stage image builds for 13 Go-based microservices and 15+ clients.
Developed optimized Airflow DAGs for workflow automation and system monitoring.
Enabled end-to-end orchestration of stock brokers’ BOD-EOD scripts.
Designed and deployed a highly available, fault-tolerant Apache Airflow architecture with Celery Executor for distributed task execution.
Leveraged clustered RabbitMQ, HA PostgreSQL with Patroni, etcd, and HAProxy for load balancing.