SHASHI KUMAR - Site Reliability Engineer 2 - FarEye

Summary

Senior Site Reliability Engineer with 5+ years of experience in cloud infrastructure, Kubernetes platform engineering, and production operations at scale. Specialized in AWS, Azure, Kubernetes (EKS), Karpenter, Helm, Terraform, GitOps, and observability platforms. Successfully reduced cloud costs by 25%, improved incident recovery time by 40%, and maintained 99.9%+ uptime for large-scale distributed systems. Extensive experience in Apache Kafka, Debezium CDC, PostgreSQL, Prometheus, Thanos, Grafana, and building automation frameworks using Bash and Python. Passionate about eliminating operational toil, implementing self-healing systems, and engineering highly resilient, secure, and scalable platforms.

Overview

3

Certifications

5

years of professional experience

Work History

Site Reliability Engineer 2

FarEye

08.2021 - Current

Kubernetes & HA: Architected production EKS clusters with HPA, VPA, Karpenter, topology spread constraints, tolerations, and PDBs — achieving 99.9%+ uptime across 50+ microservices.
Karpenter (AWS): Deployed Karpenter replacing Cluster Autoscaler on EKS — reduced node provisioning time by 60% and cut EC2 costs through intelligent spot/on-demand bin-packing.
Helm & FluxCD: Managed full Helm chart lifecycle across dev/staging/pre-prod/prod; implemented FluxCD GitOps pipelines with automated rollbacks and drift detection.
Security: Enforced K8s RBAC, NetworkPolicies, SecurityContexts (non-root, drop ALL capabilities), and PodSecurityStandards across all namespaces.
Observability Stack: Built centralized monitoring using Prometheus + Thanos, Grafana dashboards, Loki + Promtail log aggregation across 50+ Kubernetes services and VMs.
SLI/SLO & Alerting: Defined SLIs/SLOs for critical services; configured multi-tier Alertmanager routing to Squadcast and Slack — reducing MTTR by 40%.
SSL & Uptime: Automated SSL certificate expiry monitoring via SSL Exporter with Prometheus alerts — eliminated certificate-related production outages.
Website Exporter : Designed and implemented a custom Kubernetes exporter that automatically scans Virtual Services and Ingress resources across clusters, monitors endpoint availability, and generates proactive alerts for service downtime.
Terraform: Provisioned and managed AWS infrastructure (EKS, EC2, VPC, RDS, S3, IAM) and Azure resources using Terraform with remote state (S3 + DynamoDB locking).
Cost Optimization: Reduced cloud spend by 25% via EC2 right-sizing, container resource tuning, Karpenter spot integration, and elimination of idle resources.
Automation: Developed Python/Bash scripts for JVM thread dump collection with auto-upload to S3 — reduced manual diagnostics effort by 70%.
Runbooks & RCA: Authored Confluence runbooks and postmortem templates; reduced MTTR for recurring incidents by 35%.
Kafka Operations: Operated 3-broker Kafka cluster (5000+ partitions); performed partition rebalancing, leader election tuning, GC log analysis, JVM heap optimization, and broker scaling.
Debezium & CDC: Implemented Debezium CDC pipelines for real-time DB change capture and Elasticsearch indexing supporting search and shipment tracking features.
Databases: Administered PostgreSQL on AWS RDS — query optimization, connection pool tuning, automated backups, and PITR recovery.
CI/CD Pipelines: Built GitHub Actions and Docker builds, Helm deployments, and automated test stages.
Incident Management: Led on-call rotation; managed P1/P2/P3 incident triage, blameless postmortems, and JIRA-based sprint tracking for SRE team.
Collaborated with development teams to ensure seamless integration of applications into production environments.
Designed and implemented a Disaster Recovery (DR) environment to ensure high availability and enable seamless failover during outages.

IMPACT AT A GLANCE
25% Cloud Cost Reduced
99.9%+ Uptime Maintained
40% MTTR Improved
60% Faster Node Scaling

Education

B.E. - Electronics & Communications

Acharya Institutes

Bangalore

01.2020

Skills

Cloud Platforms: AWS, Azure

Containers & Orchestration: Kubernetes (EKS, AKS), Docker, Helm Charts, Karpenter, Istio

Infrastructure as Code & GitOps: Terraform, Ansible, FluxCD, GitHub Actions

Programming & Scripting: Bash, Python, Shell Scripting

Observability & Monitoring: Prometheus, Thanos, Grafana, Loki, Promtail, New Relic, ELK Stack ,Signoz

Databases & Messaging: PostgreSQL, Kafka, Redis

Reliability Engineering: Incident Management, Root Cause Analysis (RCA), Disaster Recovery (DR), High Availability (HA), Capacity Planning, Performance Tuning, SLI/SLO/SLA Management

Certification

AWS for Beginners

Timeline

Site Reliability Engineer 2

FarEye

08.2021 - Current

B.E. - Electronics & Communications

Acharya Institutes

AWARDS & RECOGNITION

Customer Happiness Champion: Zero-downtime email service migration across all environments — uninterrupted business communication throughout.

Best Team Member of the Quarter: End-to-end Kubernetes monitoring (Prometheus, Thanos, Grafana, Loki) across staging, pre-prod, and production — significantly improved observability.

Outstanding Teamwork & Collaboration Award: Cross-functional delivery across SRE, DevOps, and engineering — driving efficient execution of key reliability initiatives.