Santosh Hegde

Led a team of six engineers, providing mentorship and coaching on both project development and operational activities. Fostered collaboration to ensure efficient Kubernetes deployments, cloud automation, and CI/CD implementations, while guiding junior engineers in troubleshooting, best practices, and infrastructure optimization to align with organizational objectives. Engineered a robust solution for ingesting Akamai CDN logs into Elasticsearch leveraging Azure Functions and Azure Event Hub, ensuring zero log loss while facilitating real-time data availability across platforms. Launched the Elastic Observability AI Assistant, refining real-time application diagnostics and shortening troubleshooting efforts by 40%, consequently driving significant improvements in overall team performance. Transitioned Elastic clusters to Elastic Cloud on Kubernetes (ECK), reducing provisioning time by 50%, cutting operational costs by 20%, and designing a high-scale cluster to manage terabytes of data daily. Migrated infrastructure metrics monitoring from Dynatrace to Elastic, consolidating observability under a unified platform and achieving annual savings of $200,000 in licensing fees. Reduced cloud consumption and enterprise licensing costs by 40% through spot instance adoption and CPU-to memory ratio optimization. Transformed complex pull request workflows through strategic automation that cut down necessary actions from six steps to only two; realized substantial time savings leading to improved release timelines for products. Integrated OpenTelemetry to streamline the ingestion of logs, metrics, and traces into Elasticsearch and Grafana LGTM stack; enhanced observability capabilities leading to a 40% reduction in troubleshooting time across teams. Designed and maintained custom Helm charts for Kubernetes applications, ensuring modularity and reusability, while effectively managing and deploying third-party Helm charts for infrastructure components

Orchestrated seamless integrations of advanced platform services within multi-account configurations; attained full regulatory compliance with zero breach incidents reported over eight months following implementation. Conducted the migration of AWS multi-account configurations to AWS Control Tower Account Factory for Terraform (AFT), ensuring complete security compliance while reducing security warnings by 50%. Ensured 100% IAM compliance by designing AWS IAM policies based on least privilege principles. Architected and conducted the migration of Windows and Linux image builds to AWS EC2 Image Builder, achieving a 50% reduction in build errors and streamlining the overall process. Championed an organization-wide rollout of Datadog that bolstered system visibility and elevated security standards, resulting in an impressive reduction of support inquiries by 80% throughout all teams involved. Strategized and completed the migration of Azure DevOps repositories and CI pipelines to GitHub, modernizing development workflows and enhancing collaboration. Drove the integration of comprehensive vulnerability scanning protocols through Amazon Inspector; recognized significant security vulnerabilities, achieving a quantifiable threat reduction of 35% while fortifying system resilience.

Secured a substantial reduction of 60% in deployment times through the strategic transition of legacy systems to EKS and Rancher Kubernetes, streamlining processes across development teams. Designed and implemented branch based ephemeral deployments using ArgoCD and GitLab CI/CD which resulted in provisioning of test infra from days to minutes. Devised a robust observability framework using Loki, Prometheus, and Grafana that led to enhanced transparency in system performance metrics; achieved a 90% reduction in support requests from teams needing insights into issues. Established comprehensive observability measures alongside deploying secure configurations automatically through integration tools like HashiCorp-Vault.