SRE & DevOps Engineer - Cloud & Automation Specialist

Gayathri Karnati

Ph: +1-989-***-**** Email: *************@*****.*** https://www.linkedin.com/in/gaya-karna-a831663a2/ SUMMARY

DevOps / Cloud / Site Reliability Engineer with 4.5 years of hands-on experience supporting production-grade systems in the US and global environments. Strong background in AWS and Azure cloud platforms, CI/CD pipeline automation, Linux system administration, containerization, Infrastructure as Code, and SRE practices. Known for staying calm during production issues, gradually improving automation and reliability, and working closely with development teams to streamline deployments, reduce failures, and maintain stable, scalable systems. TECHNICAL SKILLS

Programming and scripting languages: Bash Scripting, PowerShell, Python, Java, C# Version Tools: Bitbucket, GitHub, GitLab

CI/CD Tools: Jenkins, Azure DevOps, GitLab, Bamboo, GitHub Actions. Build Tools: Maven, Gradle, ANT, MS Build.

Automation / IaC Tools: Ansible, Terraform, ARM Templates, Bicep. Containerization: Docker, Docker Swarm, Kubernetes, Mesos, OpenShift, AKS, ACR, Helm Charts. Databases: Azure SQL, PostgreSQL, Azure Cosmos DB, Azure Database Migration Service (DMS), Azure SQL Managed Instances.

Web / Application Servers: WebLogic, WebSphere, Apache Tomcat, Nginx. Cloud Platforms: Azure, AWS.

Monitoring Tools: Prometheus, Grafana, Dynatrace, Azure Monitor, Datadog, Elastic, Nagios, New Relic. Project Management Tools: Azure Boards, JIRA, Bugzilla, Trello, ServiceNow. EXPERIENCE

SRE/ DevOps Engineer Dec 2023 – Present

Teleflex

Focused on maintaining reliability and availability of production systems by supporting cloud-based applications across AWS, Azure and environments.

Automated cloud infrastructure provisioning and management using Infrastructure as Code tools such as Terraform, AWS CloudFormation, and AWS SAM to ensure consistency and repeatability.

Configured and managed AWS networking and security components including VPCs, subnets, route tables, security groups, and IAM roles while following cloud security best practices.

Built, maintained, and optimized CI/CD pipelines using Jenkins, AWS CodeBuild, CodeDeploy, and CodePipeline to enable reliable and faster application deployments.

Supported Linux-based infrastructure by performing deployments, configuration updates, patching activities, service restarts, and detailed log analysis.

Developed automation scripts using Python and Bash to streamline operational tasks, cloud resource management, monitoring checks, and maintenance activities.

Implemented monitoring, logging, and alerting solutions using AWS CloudWatch, CloudTrail, and Azure Monitor to track system health, performance, and compliance.

Participated in on-call and support rotations, responding to alerts, investigating incidents, restoring services, and ensuring systems met uptime expectations.

Performed root cause analysis for recurring incidents and worked on preventive fixes to improve long-term system stability and reduce repeated outages.

Deployed and supported containerized workloads using Docker and Kubernetes, ensuring consistent runtime environments across shared systems.

Supported infrastructure components including virtual machines, storage services, networking configurations, and access controls across cloud platforms.

Collaborated closely with development teams to troubleshoot deployment failures, resolve environment-specific issues, and improve release reliability.

Defined and tracked SRE metrics including SLIs, SLOs, and error budgets to measure service reliability and guide operational priorities.

Improved system observability by correlating metrics, logs, and alerts to reduce mean time to detect (MTTD) and mean time to resolve (MTTR).

Created and maintained runbooks, deployment guides, and operational documentation to improve incident response efficiency and knowledge sharing.

Supported workloads in Google Cloud Platform (GCP) by assisting with Compute Engine instances, Cloud Storage, IAM roles, and basic networking configurations.

Implemented monitoring and logging using Google Cloud Monitoring and Cloud Logging to gain visibility into GCP-hosted resources.

Applied Site Reliability Engineering practices by focusing on observability, automation, and reducing operational toil rather than reactive firefighting.

Environment: AWS (EC2, VPC, IAM, S3, RDS, CloudWatch, CloudTrail, CodeBuild, CodeDeploy, CodePipeline, CloudFormation, SAM), Azure (VMs, VNets, Azure DevOps, Storage Accounts, Azure Monitor, Key Vault), Jenkins, GitHub Actions, Docker, Kubernetes (AKS, EKS), Helm, Terraform, Python, Bash, YAML, Linux (Ubuntu, RHEL), monitoring and alerting tools, Git, GitHub, Jira, Confluence, VS Code DevOps Engineer Aug 2022 – Jun 2023

YoungMinds Technologies Pvt Ltd

Maintained CI/CD pipelines in Jenkins to support reliable and repeatable build and deployment workflows.

Worked extensively with AWS infrastructure, supporting EC2 instances, S3 storage, IAM roles and policies, and basic VPC networking components.

Containerized applications using Docker to ensure consistent environments across development, testing, and release stages.

Supported release activities by coordinating deployments and validating application functionality and system health after releases.

Implemented basic monitoring and alerting to identify infrastructure and application issues before they impacted end users.

Introduced Terraform for provisioning AWS resources, helping reduce manual setup effort and configuration drift across environments.

Developed Bash scripts to automate routine operational tasks such as backups, log cleanup, health checks, and service monitoring.

Managed configuration, patching, and upgrades for 300+ Linux-based EC2 instances and Aurora PostgreSQL RDS databases using Ansible scripting techniques.

Collaborated closely with development teams to troubleshoot deployment failures and resolve environment-specific issues.

Participated actively in Agile and Scrum ceremonies, providing operational input during sprint planning, stand-ups, and release discussions.

Maintained clear and up-to-date documentation for CI/CD pipelines, infrastructure configurations, and known operational issues.

Containerized applications using Docker multi-stage builds, deploying Kubernetes clusters with Helm charts and orchestrating via GitLab CI.

Diagnosed and resolved production issues in multi-cluster Kubernetes environments, significantly enhancing operational efficiency and reducing downtime.

Environment: AWS (EC2, S3, IAM, VPC, Security Groups, Route Tables), Jenkins, Docker, Linux (RHEL, Ubuntu), Terraform, Bash, GitHub, Git, Jira, CI/CD pipelines, basic monitoring and alerting tools, VS Code Cloud Support Engineer Jan 2021 – Aug 2022

KSRM College of Engineering

Built a solid understanding of how development, testing, and operations work together to support smooth and reliable software releases.

Supported source control activities by working with Git repositories, creating branches, raising pull requests, and helping resolve minor merge conflicts.

Assisted in configuring and running Jenkins pipelines to automate build and deployment steps for applications.

Gained exposure to application deployments across Dev, QA, and Staging environments and learned the importance of maintaining consistency between environments.

Worked with AWS services by launching EC2 instances, managing security group rules, handling access keys, and storing build artifacts in S3.

Supported basic monitoring efforts by checking application logs, CPU and memory usage, and validating service health.

Observed and participated in incident reporting and escalation processes, gaining experience in how production- like issues are handled.

Contributed to internal documentation by creating guides for deployment steps, server access procedures, and basic troubleshooting.

Developed a strong understanding of automation concepts and how reducing manual steps improves reliability and operational efficiency.

Environment: Linux (Ubuntu), Git, Jenkins, AWS (EC2, S3, IAM), Bash, CI/CD fundamentals, basic monitoring tools, VS Code

EDUCATION

Master’s in information systems -- Central Michigan University

Bachelor’s in computer science -- KSRM College of Engineering

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