About
Results-driven Senior DevOps Engineer with 10+ years of experience in AWS Cloud, DevOps, DevSecOps, Infrastructure Automation, Virtualization, Monitoring, and Configuration Management.
Proven expertise in designing, implementing, and managing scalable, secure, and highly available cloud infrastructure along with end-to-end CI/CD automation pipelines.
Hands-on experience with Kubernetes, Docker, Terraform, Ansible, Datadog, Python scripting, and cloud-native technologies, with a strong focus on infrastructure as code (IaC), deployment automation, system reliability, security best practices, and operational excellence.
Experienced in optimizing cloud environments, improving deployment efficiency, and enabling scalable DevOps practices across enterprise environments.
What I'm looking for
I am looking for a Senior AWS DevOps / Cloud Consultant role where I can leverage my 10+ years of experience in cloud infrastructure, automation, CI/CD, Kubernetes, and infrastructure as code. I am interested in opportunities involving AWS cloud architecture, DevOps transformation, platform engineering, cloud migration, and automation using tools like Terraform, Ansible, Docker, and Kubernetes.
I prefer roles that involve designing scalable and secure cloud solutions, implementing CI/CD.
Experience
Senior DevOps Engineer
InfoBeans Technologies
Dec 2021 – Present
Architected and deployed scalable, highly available AWS infrastructure (EC2, VPC, RDS, Route53, S3).
Automated infrastructure provisioning using Terraform and Ansible, reducing deployment time by 60%.
Developed reusable Terraform modules for infrastructure consistency and compliance.
Created Python scripts for log parsing, resource cleanup, and system health checks.
Implemented CI/CD pipelines using Jenkins, GitLab CI, and AWS CodePipeline.
Managed Docker and Kubernetes (EKS, ECS) clusters for scalable app environments.
Integrated Datadog, Prometheus, and CloudWatch for monitoring and alerts.
Configured IAM roles, security policies, and Secrets Manager for access control.
Used Chef for configuration management and deployment automation.
Led implementation and maintenance of enterprise monitoring solutions including Prometheus, LogicMonitor, and Datadog, improving observability across critical services.
Developed automation scripts using Python, Bash to streamline alert handling, remediation, and data collection workflows.
Configured and maintained AWS CloudWatch dashboards and metrics to monitor cloud-native workloads.
Applied SRE best practices, including definition and monitoring of SLOs, SLIs, and error budgets, to maintain service reliability and guide operational decisions.
Integrated monitoring and quality gates into CI/CD pipelines, enabling early detection of performance regressions and deployment anomalies.
Used Terraform and Ansible for repeatable, infrastructure-as-code provisioning, and integrated monitoring tools into Docker/Kubernetes environments.
Hands-on experience with Apache HTTP Server for reverse proxy and SSL termination, and JBoss Application Server for enterprise Java deployments.
Setup log aggregation and analysis using ELK Stack (Elasticsearch, Logstash, Kibana), and integrated AppDynamics for APM and performance monitoring.
Integrated SonarQube, Veracode, and Prisma Cloud into pipelines to enforce code quality, security, and compliance Regularly used JIRA for sprint planning, issue tracking, and Confluence for documentation and runbook creation.
Provisioned and configured infrastructure using Chef Workstation and Ansible, including cookbook development, node management, and automated environment provisioning.
AWSTerraformPython
DevOps Engineer
ConnectWise
May 2020 – Dec 2021
Managed AWS infrastructure including EC2, ELB, ASG, RDS, and S3.
Built custom Docker images and deployed via Kubernetes Helm charts.
Used Ansible to automate server provisioning and configuration.
Developed Shell and Python scripts for routine task automation.
Implemented fine-grained IAM policies and cross-account roles.
Defined and deployed infrastructure with Terraform.
Created Python tools for auditing, alerting, and resource cleanup.
AWSDockerAnsible
DevOps Engineer
Infosys India Pvt Ltd
Dec 2017 – May 2020
Automated infrastructure provisioning using CloudFormation and Terraform.
Implemented monitoring with CloudWatch and Prometheus.
Created GitLab CI/CD pipelines to automate build, test, and deployment.
Managed Dockerized apps, ensuring HA and security compliance.
CloudFormationGitLab CI/CDDocker
Wintel Administrator
IBM India Pvt Ltd
May 2015 – Dec 2017
Managed 200+ physical and 1000+ virtual servers in a 24x7 environment.
Administered VMware ESXi, vCenter, and SoftLayer infrastructure.
Automated patching and Active Directory tasks using PowerShell.
Led RCA efforts for critical incidents, reducing downtime.
VMwarePowerShellActive Directory
Education
RGPV Bhopal
B.E. · Computer Science
2014
Certifications
AWS Certified Solution Architect
Amazon Web Services
Skills
monitoringscriptingLinuxVMwareGitPowerShellBashPythonCloudWatchGrafanaPrometheusDatadogGitLab CI/CDJenkinsChefAnsibleTerraformKubernetesDockerAWS