Mahesh Kuchetti
Open to work3 years experienceDevOps/SRE Engineer
DevOps/SRE Engineer with 3+ years of experience in AWS, CI/CD, and automation.
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Skills & Technologies
42 skillsGitHub Activity Evidence
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Work Experience
Software Analyst - DEVOPS ENGINEER
Mitsogo Technologies
- Architected and maintained highly available AWS infrastructure (EC2, RDS, VPC, EKS, Load Balancers) supporting SaaS products at 99.99% uptime under peak production load.
- Built and owned CI/CD pipelines using Jenkins and GitLab CI/CD , cutting deployment time by 60% and accelerating release frequency across staging and production environments.
- Implemented SRE observability stack using Prometheus, Alertmanager, CloudWatch, and Grafana; reduced MTTD and MTTR by 40% and enabled proactive incident mitigation.
- Investigated and resolved production incidents including pod failures, deployment errors, latency spikes, and EKS resource constraints with systematic root-cause analysis.
- Automated OS patching for large-scale Linux server fleets using Ansible playbooks , reducing manual effort by 90% while maintaining security compliance and near-zero downtime.
- Applied Terraform (Infrastructure as Code) to provision, version, and manage cloud resources reproducibly across environments.
- Managed Kubernetes (EKS) workloads including deployments, pod scheduling, resource limits, and horizontal pod autoscaling configurations.
Projects
Linux Agent
- Designed a modular Linux -based agent architecture enhancing maintainability and scalability across distributed environments in collaboration with cross-functional product teams.
- Automated end-to-end build and deployment pipelines using Jenkins for scalable multi-portal packaging, reducing human intervention by 50% and improving delivery consistency.
- Built a fully automated build orchestration system: consumes SQS messages to dynamically compile binaries and uploads artifacts to S3 , eliminating 90% of manual build tasks.
- Migrated workload execution from AWS Lambda to auto-scaling EC2 , removing Lambda runtime bottlenecks and significantly improving throughput and processing efficiency.
MSI Parser
- Engineered an event-driven architecture using AWS S3, SQS, and EC2 Auto Scaling Groups to handle variable MSI build workloads with high processing efficiency.
- Provisioned all resources using Terraform (IaC) , reducing manual setup time by 70% and enabling repeatable environment provisioning across accounts.
- Configured EC2 instances to handle 5 concurrent parsing tasks with automatic instance termination after 15 minutes of inactivity, optimising throughput while cutting infrastructure costs.
- Re-architected the parsing workflow from Lambda to a stateless, containerised, elastically scaled architecture, achieving high availability and cost optimisation .
Leaderboard Standings
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
Operational Efficiency and Uptime Improvements
Delivering 99.99% uptime, cutting deployment time by 60%, and reducing manual operational effort by up to 90% through automation.
About Details
Professional Bio
DevOps/SRE Engineer with 3+ years of experience designing scalable AWS infrastructure and building CI/CD pipelines. Proven track record delivering 99.99% uptime, cutting deployment time by 60%, and reducing manual operational effort by 90% through automation.
B.Tech in Computer Science and Engineering in Computer Science and Engineering
MVGR College of Engineering (2019 - 2023)