kirankumar paidipalli
Open to work3 years experienceDevOps Engineer
DevOps Engineer with 3 years of experience in building scalable cloud infrastructure.
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
27 skillsWork Experience
DevOps Engineer
Amazon
- Managed and maintained production-grade infrastructure, ensuring high availability and uptime SLA compliance.
- Designed and implemented CI/CD pipelines, reducing deployment time by 40%.
- Automated infrastructure provisioning using Terraform across multi-environment setups (dev, staging, prod).
- Deployed and managed Kubernetes (EKS) clusters with auto-scaling and fault tolerance.
- Handled incident management, reducing MTTR by implementing structured troubleshooting and runbooks.
- Monitored applications and infrastructure using Prometheus, Grafana, and CloudWatch.
- Implemented log aggregation and alerting systems, improving issue detection and response time.
- Optimized cloud costs through resource right-sizing and automation, reducing expenses by~20%.
- Developed automation scripts using Bash and Python for system maintenance and deployments.
- Collaborated with security and product teams to enforce best practices and compliance standards.
- Supported on-call rotations, ensuring quick resolution of production issues.
Projects
Kubernetes Microservices Deployment
- Deployed multi-container applications using Kubernetes.
- Implemented Ingress and service routing using NGINX.
- Integrated CI/CD pipelines for automated deployments.
Compass- FreshInsights
- Provisioned the EKS,RDS,S3,IAM Infrastructure using CDK in dev and prod environments
- Configured Azure DevOps pipelines for Continuous Integration and Continuous Deployment (CI/CD) to automate the build, test, and deployment processes of application deployments to the EKS Cluster.
- Hosted a full-stack application with React.js (frontend) and Python FastAPI (backend) on the EKS cluster, ensuring high availability and scalability.
- Utilized Amazon RDS for backend database management, providing robust and scalable data storage solutions.
- Implemented security best practices to the above resources
Compass- MarketForecast
- Leveraged Airflow to orchestrate data processing pipelines using Amazon EMR. Developed workflows to start EMR clusters, run Spark jobs as EMR steps, monitor task execution, and automatically terminate clusters upon completion, optimizing resource usage and cost efficiency.
- Provisioned the AWS Infrastructure using Terraform for Airflow,EMR,S3
- Configured Azure DevOps pipelines for Continuous Integration and Continuous Deployment (CI/CD) to automate the build, test, and deployment processes of infrastructure deployments.
SBD ELU -AWS
- Deployed the AWS Infrastructure using Terraform Modules to dev,stage and prod environments.
- Configured Terraform remote state management to facilitate collaboration and version control of infrastructure changes among team members, enhancing workflow efficiency and transparency.
- Integrated Terraform deployments with CI/CD pipelines using Azure Devops to automate the infrastructure provisioning process.
SBD ELU Onprem
- Designed and implemented an Airflow deployment on a Kubernetes cluster using Helm charts, enabling efficient job orchestration and improved scalability for data workflows.
- Integrated AWS External Secrets Operator with Kubernetes to securely fetch and mount secrets from AWS Secrets Manager, streamlining secret management across environments.
- Dockerized the Customized Frontend and Backend Applications and deployed to Kubernetes Cluster using Helm charts.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Reduced deployment failures
Reduced deployment failures by 30% through automated rollback strategies.
Improved system uptime
Improved system uptime to 99.9% by implementing monitoring and alerting.
About Details
Professional Bio
DevOps Engineer with 3 years of experience in building scalable cloud infrastructure and CI/CD pipelines in production SaaS environments. Skilled in AWS, Kubernetes, Terraform, and automation using Python and Shell scripting. Strong focus on improving deployment speed and system reliability.
Bachelor’s Degree
sri venkateswara University ( - Present)