TalentAkhil R.
0
AS

Akhil R.

0
DevOps, Cloud and Site Reliability Engineer with over 5 years of experience in designing, deploying, and managing…
Dallas, United States

About

Walmart Cloud / Site Reliability Engineer May 2023 - Current ● Engineered robust Azure DevOps Pipelines for Infrastructure as Code (IaC) deployments utilizing Azure Repos and Pipelines, integrating automated testing and validation to guarantee reliable, error-free infrastructure changes. ● Spearheaded the orchestration and optimization of scalable Azure infrastructure with Kubernetes (AKS), accelerating CI/CD pipelines by 30%, and significantly enhancing overall system reliability. ● Managed Azure infrastructure, including setting up Azure VMs, Azure Blob Storage, and configuring Azure Active Directory for secure access to cloud resources, improving access efficiency by 30% and reducing unauthorized access by 20%. ● Strengthened incident response protocols using Azure Monitor and Azure Service Health, achieving a 40% reduction in downtime and substantially improving system availability. ● Architected and implemented advanced CI/CD pipelines with Jenkins and Azure DevOps, embedding DevSecOps practices with SonarQube, Trivy, and OWASP for rigorous static code analysis, increasing deployment efficiency by 50%. ● Automated infrastructure provisioning through Terraform and Azure Resource Manager (ARM) Templates, leveraging Ansible for seamless configuration management, which resulted in 30% faster and more consistent deployments. ● Developed and deployed comprehensive monitoring and logging frameworks using Prometheus, Grafana, and Azure Monitor on Azure VMs, vastly improving system visibility and enabling proactive issue resolution. ● Led cost optimization initiatives through Azure Cost Management, securing a 25% reduction in operational expenses while maintaining high performance and service quality. Standard Chartered DevOps Engineer July 2018 – July 2022 ● Architected and deployed a fault-tolerant AWS infrastructure tailored for the banking sector, ensuring 99.99% system uptime, thereby elevating user satisfaction and operational reliability. ● Streamlined and integrated advanced continuous integration tools (Jenkins, GitHub Actions, ArgoCD, AWS CodePipeline), resulting in a 50% reduction in build and deployment cycles, crucial for adhering to stringent financial compliance standards. ● Provisioned Lambda functions to create a Log stash for centralized logging - to store logs, Metrics into S3 buckets. ● Optimized deployment processes through AWS Elastic Beanstalk, reducing deployment times from hours to minutes, and achieving a 70% boost in operational efficiency, directly contributing to faster time-to-market for financial products. ● Designed and implemented robust cloud solutions using a comprehensive array of AWS services (S3, IAM, VPC, RDS, CloudWatch, EBS, DynamoDB, Lambda, Cloud Formation), ensuring secure, scalable, and compliant infrastructures for banking applications. ● Deployed, scaled, and managed 100+ Docker containers in Kubernetes using Helm charts, achieving 40% improved resource utilization and maintaining multiple namespace versions for effective load balancing. ● Led the migration from monolithic to microservices architecture within financial systems, utilizing Docker and Kubernetes to establish automated CI/CD pipelines, resulting in a 60% decrease in deployment times and enhancing scalability. ● Implemented monitoring solutions using Nagios, CloudWatch, and CloudTrail to ensure high availability, performance, and security of on-premises and cloud resources. ● Executed in-depth post-mortem analyses on system inefficiencies and incidents, driving the implementation of strategic improvements that ensured continuous operational excellence and compliance in the finance sector.

Skills

AWSAzureJenkinsTerraformKubernetesAKSAnsibleArgo CDARM TemplatesAzure Blob StorageAzure DevOpsAzure MonitorBashCloudWatchDockerDynamoDBEBSGitHubGitHub ActionsGrafanaHelmIAMAWS LambdaPrometheusPythonS3SonarQubeTrivy

Contact details

marwa.k@company.com
linkedin.com/in/•••
+49 1525 0000 00
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Details

SeniorityMid
LocationUnited States
StatusOpen to offers
Updated 2024-09-02