Kalpesh Shardul

About Kalpesh Shardul

I am a Cloud & DevOps Engineer with 7+ years of experience designing, automating, and operating highly available, scalable, and secure systems on Amazon Web Services (AWS). I specialize in cloud infrastructure, observability, CI/CD automation, and reliability engineering, with hands-on ownership of production workloads.My core expertise lies in AWS-native architecture, including EC2, ALB/NLB, VPC, IAM, EKS, ECS, S3, CloudWatch, CloudTrail, Auto Scaling, and Route 53. I have extensive experience building high-availability (HA) architectures, implementing load-balanced and fault-tolerant systems, and supporting mission-critical applications.On the DevOps side, I work deeply with Infrastructure as Code (IaC) using Terraform, ensuring reproducible, version-controlled environments across multiple stages (DEV / UAT / PROD). I have designed and maintained CI/CD pipelines using Jenkins and Git-based workflows, automating build, artifact management, and deployments with a strong focus on rollback safety and release reliability.I have strong hands-on experience with Kubernetes (EKS) and container ecosystems:Kubernetes workload design (Deployments, StatefulSets, PVCs, EBS/EFS)Cluster observability and cost optimizationHelm-based deployments and operational troubleshootingNode, pod, and application-level monitoringObservability is a key focus area for me. I have implemented end-to-end monitoring using:Grafana (OSS) behind AWS ALBAmazon Managed Prometheus (AMP)Node Exporter, CloudWatch Exporter, AWS OTelMetrics, alerts, dashboards, and cost-aware monitoring strategiesI am deeply comfortable with Linux system administration, systemd services, networking fundamentals, and performance tuning. I regularly troubleshoot production issues involving latency, scaling, memory/CPU constraints, networking, and AWS service limits.Key Skills & ToolsCloud: AWS (primary), AzureDevOps/IaC: Terraform, Jenkins, GitContainers: Docker, Kubernetes (EKS), HelmObservability: Grafana, Prometheus, CloudWatch, AMPOS & Networking: Linux, TCP/IP, Load BalancersI thrive in environments that value automation, reliability, and continuous improvement, and I enjoy working closely with engineering teams to design systems that scale both technically and operationally. Open to discussions around DevOps, SRE, Cloud Architecture, Observability, and AWS optimization.

Experience

1. Capgemini

   Present

Education

• Northeastern University

  Master of Science (M.S.), Computer Systems Networking and Telecommunications

  2016 — 2018

• University of Mumbai

  Bachelor's degree, Electronics and Telecommunications Engineering

  2012 — 2016

Skills

• Frame Relay
• Transmission Control Protocol (Tcp)
• Cisco Packet Tracer
• Stp
• Microsoft Word
• Scilab
• Tcp
• Linux
• Peer-to-Peer
• Simple Mail Transfer Protocol (Smtp)
• Hot Standby Router Protocol (Hsrp)
• Socket Programming
• Ftp
• Vlan
• Java
• Pvst
• Internet Protocol Suite (Tcp/Ip)
• Eigrp
• Microsoft Office
• Switching
• Packet Tracer
• Python
• Routing Protocols
• Eagle Pcb
• Matlab
• Trunking
• Domain Name System (Dns)
• Dynamic Host Configuration Protocol (Dhcp)
• C
• Bash
• Wireshark
• Unix
• Ccna
• Border Gateway Protocol (Bgp)
• Https
• User Datagram Protocol (Udp)
• Amazon Web Services (Aws)
• Keil
• Vlsm