Cloud Engineer Issue Resolution

GIRIDHAR GUDURU

Linkedin.com/in/giridharguduru

**** **********, *** ******, ** 75056

PROFESSIONAL SUMMARY

Strategic DevOps & Cloud Engineer with 11+ years of expertise in architecting, automating, and optimizing cloud infrastructures across AWS, Azure, and GCP.

Skilled in implementing end-to-end CI/CD pipelines in Agile environments, ensuring seamless Continuous Integration, Continuous Delivery, and Continuous Deployment using Jenkins, GitHub Actions, and GitLab CI/CD.

Proven ability to enhance deployment efficiency by 50% and reduce operational costs by 40% through Infrastructure as Code (Terraform, CloudFormation) and container orchestration (Kubernetes, Docker, Helm, OpenShift).

Expertise in managing and optimizing Linux (Ubuntu, RHEL, CentOS) and Windows-based cloud environments, ensuring robust infrastructure performance and security.

Proficient in Agile methodologies, container orchestration, and continuous feedback loops, ensuring efficient iterative development and rapid delivery.

Deep expertise in DevSecOps best practices, integrating security and compliance into all CI/CD stages via IAM policies, OAuth, Kubernetes RBAC, and automated policy enforcement.

Experienced in real-time monitoring, logging, and proactive issue resolution using Prometheus, ELK Stack, Splunk, and DataDog, ensuring high availability and resilience.

A strategic problem solver, fostering DevOps transformation and optimizing cloud scalability through collaboration with cross-functional teams.

Technical Skills

Cloud & Infrastructure as a Service (IaaS)

Experienced in designing, deploying, and managing cloud environments across AWS, Azure, and Google Cloud Platform (GCP). Proficient in utilizing services such as EC2, VPC, S3, Route 53, IAM, CloudFront, EBS, WAF, ELB, ECS, SES, CloudTrail, CloudWatch, Auto Scaling, SQS, Elastic Beanstalk, and ALB to ensure scalable and cost-effective cloud solutions.

Containerization & Orchestration

Extensive hands-on experience with Docker and Kubernetes (EKS, GKE, AKS) for containerized application deployment and management. Skilled in leveraging Helm, OpenShift, Mesos, and Docker Swarm for automating container orchestration and improving system resilience.

Configuration Management & Automation

Proficient in implementing Ansible, Chef, Puppet, and SaltStack for seamless configuration management. Expertise in Terraform, CloudFormation, Pulumi, and Kubernetes Helm charts to automate infrastructure provisioning and enforce Infrastructure as Code (IaC) best practices.

CI/CD & Build Tools

Expertise in designing and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, Bamboo, and Tekton. Strong background in build automation with Maven, ANT, Hudson, XL Deploy, and XL Release to facilitate continuous integration and delivery workflows.

Monitoring, Logging & Observability

Skilled in implementing real-time monitoring and observability solutions using Prometheus, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, DataDog, Grafana, Nagios, AppDynamics, Sysmon, OSquery, SonarQube, and Dynatrace to ensure system health and proactive issue resolution.

Security, Compliance & Networking

Proficient in security best practices, implementing IAM policies, OAuth, OIDC, AWS WAF, VPN, VPC, Security Groups, and Firewalls to secure cloud environments. Experienced in Zero Trust Security frameworks and compliance auditing to maintain regulatory compliance and protect sensitive data.

Performance Optimization & Troubleshooting

Expert in system performance tuning, proactive issue resolution, root cause analysis, and incident response to ensure optimal system reliability and efficiency.

Operating Systems

Extensive experience in managing and optimizing Linux (Ubuntu, RHEL, CentOS) and Windows Server environments for both cloud and on-premises infrastructure.

Scripting & Automation

Highly skilled in scripting and automation using Python, Shell Scripting, YAML, PowerShell, Ruby, Perl, UNIX, PHP, and C to streamline processes and reduce manual interventions.

Databases & Storage

Hands-on experience in database management, including MySQL, PostgreSQL, MongoDB, Cassandra, Oracle, SQL Server, MS SQL, NoSQL, AWS RDS, and DynamoDB, ensuring high availability and efficient data storage.

Web & Development Technologies

Proficient in HTML, JavaScript, jQuery, Bootstrap, XML, JSON, XSD, XSL, and XPath for web development, API integrations, and data transformations.

EXPERIENCE

Amazon, Bellevue, Washington April 2022 - Present

DevOps Engineer

Designed and implemented multi-stage CI/CD pipelines using GitHub Actions, ArgoCD, and Tekton, reducing deployment failures by 60%.

Integrated progressive deployment strategies such as blue-green and canary releases with LaunchDarkly, minimizing production impact.

Automated cloud resource provisioning with Terraform, Pulumi, and AWS CDK, enabling seamless infrastructure scaling across AWS regions.

Led Kubernetes (EKS) cluster management, optimizing resource allocation with Karpenter and Cluster Autoscaler.

Deployed Istio service mesh for securing microservices and managing traffic routing.

Developed self-healing infrastructure using AWS Step Functions and event-driven automation, reducing operational toil.

Implemented policy-as-code frameworks with OPA (Open Policy Agent) and HashiCorp Sentinel to enforce security and compliance policies.

Integrated shift-left security practices by embedding security scans into CI/CD pipelines with Snyk, Aqua Security, and Trivy.

Automated IAM role management and policy enforcement using AWS Identity Center (SSO) and HashiCorp Vault, improving access governance.

Strengthened runtime security with Falco and AWS GuardDuty, reducing security incident response time by 35%.

Established full-stack observability with AWS X-Ray, OpenTelemetry, and Datadog, enabling distributed tracing and real-time analytics.

Deployed machine learning-based anomaly detection using Amazon DevOps Guru, improving proactive system health monitoring.

Optimized log aggregation pipelines using Fluent Bit and Loki, reducing log ingestion costs by 20%.

Defined and enforced SLIs, SLOs, and SLAs using Prometheus and Grafana, ensuring service reliability.

Automated incident response workflows with PagerDuty and AWS Lambda, reducing MTTR by 45%.

Conducted chaos engineering experiments with Gremlin, identifying and mitigating system vulnerabilities.

Optimized cloud spend by 30% leveraging AWS Compute Optimizer, Savings Plans, and Spot Instances.

Automated idle resource detection and cleanup with Kubecost and AWS Lambda, improving FinOps efficiency.

Designed cross-cloud CI/CD pipelines with Spinnaker, enabling deployments across AWS, Azure, and GCP.

Integrated AI-driven root cause analysis with BigPanda and Moogsoft, reducing alert fatigue by 40%.

Leveraged Amazon DevOps Guru for proactive anomaly detection and predictive scaling with AWS SageMaker.

Developed serverless applications with AWS Lambda@Edge and CloudFront Functions, reducing latency for global users.

Designed stateful serverless workflows using AWS Step Functions and EventBridge, supporting scalable event-driven architectures.

Deployed containerized serverless workloads with AWS Fargate and Knative, ensuring efficient auto-scaling.

Implemented AI-powered ChatOps using Amazon Lex and Slack Bots, improving operational collaboration.

Integrated AI-based security monitoring with Darktrace, reducing false positives and improving threat detection.

Automated threat intelligence feeds with AWS Security Hub, aligning security with MITRE ATT&CK frameworks.

Canon USA, Irvine, CA July 2020 – March 2022

Cloud DevOps Engineer

Designed and migrated on-prem Java applications to microservices using Kubernetes (EKS, GKE), Helm, and Istio, improving scalability and deployment efficiency.

Architected and automated multi-cloud infrastructure across AWS and GCP using Terraform, CloudFormation, and Pulumi, reducing provisioning time by 70%.

Implemented IAM governance policies, integrating AWS IAM, GCP IAM, and Kubernetes RBAC, ensuring least-privilege access and compliance enforcement.

Automated CI/CD pipelines using GitLab CI/CD, Jenkins, ArgoCD, and AWS CodePipeline, reducing deployment time by 40% and enabling secure rollbacks.

Deployed real-time monitoring and observability solutions with DataDog, ELK Stack, Prometheus, and OpenTelemetry, improving system uptime and performance.

Optimized Kubernetes clusters using Karpenter for auto-scaling and workload scheduling, enhancing resource efficiency.

Enhanced security compliance using AWS Security Hub, GuardDuty, GCP Security Command Center, and Terraform Sentinel, mitigating security risks.

Automated IAM role management and policy enforcement with AWS Identity Center (SSO), HashiCorp Vault, and Terraform IAM modules.

Integrated federated authentication using AWS Cognito, Google Cloud Identity, and Okta, enabling SSO-based secure access control.

Developed API security and authentication layers using AWS API Gateway and Apigee, improving microservices security posture.

Reduced cloud operational costs by 25%, leveraging AWS Compute Optimizer, GCP Recommender, and automated cost analysis workflows.

Built and deployed auto-healing infrastructure using AWS Lambda, AWS Step Functions, and Terraform, reducing downtime and manual intervention.

Developed disaster recovery strategies, utilizing AWS Backup, GCP Filestore, and cross-region replication, ensuring business continuity.

Containerized and optimized Java applications using Docker, Buildpacks, and Kubernetes, streamlining development and production workflows.

Enabled centralized logging and security monitoring via CloudWatch, Fluent Bit, Loki, and AWS Config, improving auditability and response time.

Choice Hotels International Inc, Scottsdale, AZ June 2019 - June 2020 DevOps Engineer

Architected and automated Kubernetes infrastructure on Google Kubernetes Engine (GKE), ensuring high availability, fault tolerance, and scalability using GCP auto-scaling and load-balancing.

Led Java monolith-to-microservices migration, refactoring applications using Spring Boot, Kubernetes (GKE), and Istio, improving scalability and deployment speed.

Developed and maintained CI/CD pipelines using Jenkins, automating microservices deployments and reducing release failures by 40%.

Integrated role-based access control (RBAC) and IAM governance, managing ForgeRock, GCP IAM, and Kubernetes RBAC to enforce least-privilege access.

Enhanced observability and monitoring, deploying Datadog APM, Prometheus, and ELK Stack for real-time performance tracking and distributed tracing.

Optimized Kubernetes cluster performance, leveraging HPA (Horizontal Pod Autoscaler), Cluster Autoscaler, and GKE Autopilot to reduce infrastructure costs.

Automated infrastructure provisioning using Terraform, Ansible, and GCP Deployment Manager, improving cloud resource consistency.

Implemented security best practices, integrating AWS WAF, GCP Security Command Center, and HashiCorp Vault to protect workloads.

Managed GitHub Enterprise repositories, enforcing branch protection rules, security policies, and automation workflows.

Configured API security and authentication using AWS API Gateway and Apigee, improving traffic management and securing microservices.

Enabled centralized logging and auditing, deploying CloudWatch, Fluent Bit, Loki, and AWS Config for enhanced compliance monitoring.

Developed automation scripts using Python and Shell scripting for cloud resource provisioning and security policy enforcement.

Managed Jenkins Shared Libraries, standardizing pipeline scripts and reducing duplication across multiple microservices deployments.

Led performance tuning efforts, optimizing database queries on RDS, Cloud SQL, and DynamoDB, reducing query latency by 50%.

Implemented canary deployments and traffic routing strategies using Istio and Kubernetes Flagger, ensuring seamless software rollouts.

Home Depot, Marietta, GA March 2017 – March 2019

DevOps Engineer

Designed and automated cloud infrastructure across AWS and Azure using Terraform and Ansible, reducing provisioning time by 60%.

Managed ECS and Kubernetes (EKS) clusters, optimizing workloads with Cluster Autoscaler, terraform modules, and HPA to improve efficiency.

Implemented CI/CD pipelines in Jenkins, automating application deployments and rollback mechanisms for enhanced release stability.

Configured IAM policies, roles, and SSO integrations in AWS and Azure, enforcing least-privilege access and improving security compliance.

Deployed and maintained ELK Stack (Elasticsearch, Logstash, Kibana) and Splunk, centralizing log management and enhancing system observability.

Automated infrastructure configuration management with Ansible, enforcing consistency across cloud and on-prem environments.

Optimized cloud networking by configuring VPCs, subnets, security groups, and load balancers in AWS and Azure.

Integrated Terraform with Jenkins, enabling Infrastructure as Code (IaC) workflows for repeatable and secure infrastructure deployments.

Implemented security best practices using AWS WAF, GuardDuty, and Azure Security Center, reducing vulnerabilities and ensuring compliance.

Developed AWS Lambda-based automation scripts for log analysis, instance cleanup, and IAM policy enforcement.

Configured and monitored system performance using CloudWatch, ELK Stack, and Splunk, improving incident detection and resolution time.

Led infrastructure migration projects, transitioning legacy applications to containerized microservices on ECS and Kubernetes for scalability.

Managed Agile project workflows using Atlassian tools (JIRA, Confluence, Bitbucket, and Bamboo), ensuring efficient sprint planning, tracking, and documentation.

Facilitated cross-team collaboration with JIRA dashboards, backlog grooming, and sprint retrospectives, improving visibility and alignment in Agile development.

Symantec, Mountain View, CA July 2016 – March 2017 DevOps Engineer

Automated cloud infrastructure provisioning across AWS and Azure using Terraform and Ansible, ensuring consistency and scalability.

Developed and maintained CI/CD pipelines in Jenkins, improving deployment speed and reliability for microservices-based applications.

Managed database operations on RDS, PostgreSQL, MongoDB, and MySQL, optimizing performance and enabling automated backups.

Deployed and monitored microservices on ECS and Kubernetes (EKS, AKS), ensuring high availability and resource efficiency.

Configured IAM roles and policies in AWS and Azure, enforcing secure access controls and regulatory compliance.

Implemented centralized logging and monitoring using ELK Stack, Splunk, and CloudWatch, enhancing real-time observability.

Developed automation scripts using Python, Shell, and PowerShell, streamlining repetitive tasks and improving system efficiency.

Optimized database query performance through indexing and partitioning, reducing latency and improving data retrieval speeds.

Integrated security and compliance tools like AWS WAF, Azure Security Center, and HashiCorp Vault, protecting infrastructure and data.

Managed containerized workloads using Docker and Kubernetes, enabling seamless deployment and scaling.

Implemented Infrastructure as Code (IaC) workflows with Terraform and Ansible, reducing manual configurations and standardizing deployments.

Configured load balancing and networking using AWS ALB, Nginx, and VPC configurations, ensuring secure and efficient traffic distribution.

Collaborated with cross-functional teams to improve microservices architecture, optimizing API performance and scalability.

Kellton Tech, Hyderbad, India May 2013 – July 2015

CloudOps Engineer

Managed and automated AWS-based Linux environments, implementing patching, troubleshooting, and system hardening using Ansible, Shell scripting, and Terraform to ensure security and compliance.

Developed CI/CD pipelines using Jenkins and Ansible, automating software deployments and improving release efficiency.

Implemented Infrastructure as Code (IaC) using Terraform and CloudFormation, enabling automated provisioning and repeatable infrastructure deployments.

Deployed and monitored AWS ECS clusters, optimizing containerized workloads for performance, scalability, and cost efficiency.

Configured IAM roles, security groups, and VPC networking, enforcing least-privilege access policies to secure cloud resources.

Designed centralized logging and real-time monitoring solutions using ELK Stack, Splunk, and CloudWatch, improving issue detection and system observability.

Integrated and managed database solutions, optimizing MySQL, PostgreSQL, and MongoDB performance through indexing, query tuning, and replication strategies.

Automated server provisioning and configuration management using Ansible and Terraform, reducing manual efforts and maintaining consistency across environments.

Developed and maintained Python and Shell scripts for automating infrastructure tasks, log analysis, and cloud resource management.

Configured load balancing and networking with AWS ALB, Nginx, and Route 53, ensuring secure traffic distribution and high availability.

Implemented security best practices, leveraging AWS WAF, IAM access policies, and automated compliance checks to protect cloud workloads.

Managed Git repositories and version control workflows, ensuring Infrastructure as Code (IaC) consistency and deployment tracking.

EDUCATION

Bachelor’s from Jawaharlal Nehru Technological University June 2010 – May 2014

Achievements

Technical Achievements

Reduced deployment failures by 60% by automating CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD.

Cut cloud costs by 30% using Terraform, AWS Compute Optimizer, and Azure Advisor, optimizing resource allocation.

Migrated 100+ legacy Java applications to Kubernetes (EKS, GKE, AKS), improving scalability and uptime.

Automated patching and security compliance for 500+ Linux servers using Ansible and Terraform, reducing manual efforts.

Improved system monitoring and reduced MTTR by 45% using ELK Stack, Splunk, and CloudWatch.

Implemented IAM governance frameworks, strengthening security controls and reducing unauthorized access incidents by 40%.

Deployed self-healing infrastructure using Terraform, Kubernetes Auto-Scaling, and AWS Lambda.

Reduced cloud provisioning time by 70% with Terraform, CloudFormation, and Pulumi, accelerating deployments.

Developed Python-based automation scripts for cloud resource management, log analysis, and compliance enforcement, cutting manual efforts by 40%.

Leadership & Collaboration

Led Agile DevOps transformations, fostering collaboration between development and operations teams using JIRA, Confluence, and Bitbucket.

Collaborated with cross-functional teams, ensuring smooth integration across DevOps, security, and development groups.

Provided mentorship and documentation on DevOps best practices, enhancing team efficiency.

Strong analytical and problem-solving skills, improving troubleshooting efficiency and incident resolution.

Enthusiastic about technology, continuously improving DevOps processes and staying updated with industry trends.

Demonstrated focus on customer experience and innovation, optimizing cloud solutions to enhance performance, scalability, and reliability.

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