Thirumaleshwar R.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

DevOps/Linux-Windows Engineer with over 5+ years of experience, specializing in AWS DevOps and Linux-Windows system administration. I possess expertise in implementing and managing scalable AWS infrastructure, CI/CD pipelines, containerization, and data migration. My proficiency extends to various AWS services, including EC2, S3, IAM, IAM Policy, DMZ, AWS GuardDuty, KMS, AWS Trusted Advisor, AWS Certificate Manager, AWS CloudTrail, Ansible, Chef, VPC flow logs, Terraform, and Lambda. Additionally, I am well-versed in Docker and Git for version control. I am currently seeking a challenging platform to leverage my past experiences, acquire new skills, and further my professional and personal growth. Design, Deploy, and Manage Scalable AWS Infrastructure: ◆ Proficient in designing, deploying, and managing scalable and reliable AWS infrastructure using services like EC2, S3, VPC, IAM, and CloudFormation. ◆ Implement infrastructure as code (IaC) practices with Terraform for automation. ➔ Performance Monitoring and Optimization: ◆ Monitor and optimize AWS resources for efficient utilization and cost-effectiveness. ➔ CI/CD Pipeline Implementation: ◆ Implement and maintain CI/CD pipelines using Jenkins, Git, and Maven for automated deployments. ➔ Containerization Expertise: ◆ Proficient in Docker and Docker Compose for containerization. ➔ Data and Application Migration: ◆ Expertise in data and application migration to AWS Cloud. ➔ Automated Deployment with Elastic Beanstalk: ◆ Configure AWS Elastic Beanstalk for automated deployment processes. ➔ Linux and Windows Environment Management: ◆ Manage FTP, SSH, and NFS on both Linux and Windows environments. ➔ Serverless Computing and AWS Services: ◆ Work with AWS Lambda for serverless computing and use Boto3 for interfacing with AWS services. ➔ Incident Response and Security: ◆ Collaborate with the incident response team to investigate and respond to security incidents using EDR tools. ◆ Establish and enforce security best practices for AWS resources and applications. ◆ Assist in the development and enforcement of security policies and procedures. ➔ Splunk and Security Monitoring: ◆ Create custom Splunk dashboards and alerts to monitor for suspicious activities and security incidents. ➔ IAM Role and Policy Implementation: ◆ Implement IAM roles, policies, and permissions to control access to AWS services. ➔ Web Application Security: ◆ Implement Web Application Firewalls (WAFs) to secure web applications in the DMZ. ◆ Ensure the protection of sensitive data and prevent common web-based attacks. ➔ DDoS Protection with AWS Shield: ◆ Implement AWS Shield for DDoS (Distributed Denial of Service) protection on AWS applications. ➔ Secure DMZ and Intrusion Detection: ◆ Proficient in designing and implementing secure Demilitarized Zones (DMZs) and intrusion detection and prevention systems (IDPS) within the DMZ. ➔ Cybersecurity Training and Policy Development: ◆ Participate in security awareness training programs. ◆ Develop and maintain security policies and procedures in compliance with industry standards. ➔ Cybersecurity Trends and Adaptation: ◆ Stay up-to-date with the latest cybersecurity threats and trends to adapt security strategies accordingly. ➔ Monitoring and Logging Solutions: ◆ Set up and configure monitoring and logging solutions using AWS CloudWatch, ELK stack, or similar tools. ◆ Implement alerts and notifications to proactively identify and address potential issues. ➔ Configuration Management: ◆ Utilize configuration management tools such as Ansible, Chef, and Puppet for effective software configuration management. ➔ Kubernetes Expertise: ◆ Implement Kubernetes Ingress controllers for load balancing and external access. ◆ Design, deploy, and manage Kubernetes clusters for container orchestration. ◆ Implement Kubernetes Horizontal Pod Autoscaling (HPA) for efficient resource utilization. ◆ Create CI/CD pipelines using Docker and Kubernetes for automated application deployment. ◆ Troubleshoot and debug containerized applications using Kubernetes tools. ◆ Configure Kubernetes Network Policies for enhanced security. ➔ ETL and Data Analytics: ◆ Utilize AWS Glue and PySpark for ETL and data analytics. ➔ User Support and Knowledge Sharing: ◆ Troubleshoot desktop, network, and printer-related issues. ◆ Handle user tickets in JIRA according to SLAs. ◆ Share knowledge with newcomers in the organization to facilitate their integration.