Prem Kadam
Open to work3 years experienceL2 Cloud Support Engineer
L2 Cloud Support Engineer | AWS | Linux | DevOps
Standing Rank
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Skills & Technologies
29 skillsGitHub Activity Evidence
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Work Experience
L2 Cloud Support Engineer
VSM Infotech Private Limited
- Provide L2 production support for AWS infrastructure, Linux servers, containerized applications, and CI/CD environments; manage incidents and requests through ServiceNow and Jira in line with priority and SLA targets.
- Monitor EC2, S3, IAM, VPC, Route 53, CloudWatch, subnets, route tables, Elastic IPs, and security groups; investigate availability, access, performance, and configuration issues.
- Troubleshoot Linux CPU, memory, disk, process, service, permission, and log issues, along with DNS, TCP/IP, HTTP/HTTPS, port, routing, firewall, and load-balancer connectivity problems.
- Analyze CloudWatch, Prometheus, Grafana, system, and application alerts and logs; perform incident triage, impact assessment, root-cause analysis, corrective action, and escalation.
- Support Jenkins, GitHub, Git, and Maven CI/CD workflows; troubleshoot failed builds, deployments, configuration errors, and rollback activities.
- Resolve Docker and Kubernetes issues including container failures, image-pull errors, pod failures, service connectivity, scaling, and resource constraints.
- Provision and update repeatable AWS infrastructure using Terraform and administer IAM users, roles, policies, and least-privilege permissions.
- Coordinate with L1, application, database, network, cloud, and DevOps teams during incidents and production changes; provide clear stakeholder updates.
- Create RCA reports, troubleshooting guides, operational runbooks, and knowledge-base articles; perform health checks, backup verification, patch coordination, and post-deployment validation.
Projects
Investment Banking Application – DevOps Automation
- Designed an end-to-end CI/CD workflow for an investment banking application hosted on AWS, integrating GitHub and Jenkins for automated build and deployment.
- Containerized the application with Docker and deployed it to Kubernetes/EKS using Deployment and Service manifests, including pod scaling and service exposure.
- Provisioned reusable AWS infrastructure with Terraform and configured Prometheus and Grafana monitoring for infrastructure and application visibility.
- Applied EC2 rightsizing, storage management, and container resource allocation practices to support reliability and cost optimization.
- Used Git branching and version-control practices to support controlled releases, collaborative development, and deployment traceability.
- Troubleshot deployment, container, pod, service-exposure, and infrastructure configuration issues across the delivery workflow.
Automated AWS Infrastructure Provisioning
- Built a Jenkins pipeline to orchestrate Terraform init, validate, plan, approval, and apply stages for controlled infrastructure delivery.
- Automated provisioning of VPCs, subnets, EC2 instances, Elastic IPs, and S3 buckets using reusable Infrastructure as Code modules.
- Reduced infrastructure provisioning time by approximately 60% while improving consistency and repeatability across environments.
- Applied approval controls and recovery procedures to reduce deployment risk and support controlled infrastructure changes.
- Used Git and Bash to manage infrastructure code, pipeline execution, validation, and repeatable operational tasks.
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
Infrastructure Provisioning Optimization
Reduced infrastructure provisioning time by approximately 60% through Jenkins and Terraform automation.
About Details
Professional Bio
L2 Cloud Support Engineer with 3 years of experience supporting AWS infrastructure, Linux servers, production applications, and CI/CD environments. Skilled in incident management, troubleshooting, monitoring, root-cause analysis, and cloud automation.
Master of Computer Applications (MCA)
Savitribai Phule Pune University, Pune (2022 - 2024)
Bachelor of Computer Applications (BCA)
North Maharashtra University, Jalgaon (2019 - 2022)