1. Part of an agile team of 40+ focused on automating CIS benchmarking for our in-house data centre servers using Java, AWS, Kubernetes, Jenkins, and ArgoCD.2. Moving customer servers and apps to our data centre, including GitLab, Artifactory, and ReportPortal, by reducing 660K EUR per year. 3. Managing AWS Kubernetes clusters, implementing, monitoring, and enforcing role-based Access Control (RBAC). 4. Updating legacy scripts and Ansible playbooks by reducing manual Tasks by 75%. Leading a LibreOffice Kubernetes proof of concept for CMS document conversion to remove unwanted Dependencies on customer server.

As a DevOps Engineer at Mindcurv Technologies, my key responsibilities include:🔹 Staying updated with the latest DevOps trends, recommending process and tool improvements.🔹 Monitoring and troubleshooting build, release, and deployment processes, ensuring smooth software delivery.🔹 Designing, implementing, and maintaining efficient build, release, and deployment processes.🔹 Configuring and managing infrastructure using Terraform, & Establishing a robust CI/CD pipeline.🔹 Proactively monitoring system health and resolving issues promptly. 🔹 Automating application deployment for streamlined releases.🔹 Building and managing infrastructure provisioning, monitoring, and management tools.🔹 Troubleshooting and resolving infrastructure issues as they arise.🔹 Monitoring system performance and addressing bottlenecks.🔹 Acting as a Team Lead and Subject Matter Expert for various AWS services.🔹 Managing application deployment using ArgoCD.🔹 Conducting GDPR auditing on projects to ensure compliance.🔹Optimizing AWS projects to reduce costs by eliminating unnecessary workloads.🔹Implementing cost optimization techniques for the EKS cluster using kube cost setup.🔹Developing Python functions to enhance day-to-day tasks and monitoring.🔹Designing custom solutions based on developers' requirements to meet sprint goals.🔹Implementing vulnerability scanner on CI/CD pipelines.🔹Enhancing observability stack with custom metrics in Grafana, Prometheus, and Loki.🔹Excelling in project takeovers within tight deadlines.

🔹 Automated end-to-end deployment processes, prioritizing seamless and efficient software delivery.🔹 Developed pipeline scripts for CI/CD tasks, facilitating regular code deployments.🔹 Managed & designed high-availability infrastructure for clients, ensuring reliable operations. 🔹 Customized, maintained, and upgraded custom scripts used for day-to-day activities.🔹 Gained extensive experience working with various cloud platforms such as AWS, Alibaba Cloud, & Google Cloud.🔹 Managed and created Terraform cloud instance deployment templates for different cloud platforms, simplifying infrastructure provisioning.🔹 Scheduled code updates and deployments for multiple e-commerce websites, ensuring smooth releases.🔹 Collaborated closely with diverse development teams, effectively resolving the issues they encountered.🔹 Assumed additional responsibilities, including actively participating in debugging root cause analysis for failures and meticulously documenting bugs and fixes

🔹 Implemented and configured monitoring using CloudWatch, ensuring effective tracking and management of system metrics.🔹 Led a technical migration project involving up to 40 servers, overseeing the successful completion of the projects.🔹 Deployed and managed various AWS services, including EC2, VPC, S3 bucket, ELB, EBS, EFS, and Route53.🔹 Demonstrated expertise in infrastructure as code (IaC) practices and utilized a wide range of AWS services such as EC2, S3, ELB, VPC, and IAM.🔹 Leveraged Ansible for automation, utilizing YAML to install and configure systems, ensuring timely updates and changes.🔹 Deployed a test server for application testing using an Ansible playbook, incorporating Django and Gunicorn for seamless functionality.🔹 Installed Docker and created Docker files to build containers, integrating them with Jenkins for continuous delivery purposes.🔹 Containerized applications for efficient and isolated testing procedures.Gained hands-on experience with Docker Swarm, facilitating container orchestration and management.🔹 Established separate containers for testing purposes, enabling code validation in different environments. Configured a high-availability website using AWS services, including Auto Scaling and ELB, ensuring robust and scalable infrastructure