SAI K

Lead the deployment of Cloud services, optimize infrastructure, and ensure overall cloud infrastructure stability.
• Spearhead Proof of Concepts (POCs) for new cloud services, meticulously evaluating their feasibility and facilitating successful adoption within small user groups before general availability.
• Designed and implemented automated deployment pipelines using AWS CodePipeline and integrated them with Docker and Kubernetes, enabling rapid and consistent application deployments.
• Managing containerization on GKE and EKS, assess user requirements, allocate namespaces, and establish secure, cost-efficient clusters.
• Champion the implementation of open-source tools like Argocd, ArgoWorkflow, Syslog-ng, Opencost, and Falco, enhancing developer efficiency and platform reliability Orchestrated deployments with Terraform, using Terraform Enterprise to support teams adopting Infrastructure as Code (IaC).
• Leveraged GCP Pub/Sub, Cloud Functions, Firestore/BigQuery for automating cloud activities and data storage.
• Managed end-to-end Terraform deployment, state files, and migrations to ensure consistent and automated infrastructure setup.
• Establish individual Jenkins masters for developer teams in GKE, streamline build processes through dynamic worker pod deployment upon build initiation.
• Ensure cloud infrastructure security and optimize cost management strategies, contributing to a robust and fiscally responsible environment.
• Designed and executed monitoring solutions critical to Kubernetes and cloud infrastructure, enable proactive issue detection and resolution.
• Assisted with monitoring resources using CloudWatch, CloudTrail, AWS Config and SolarWinds.
• Implemented automation of an infrastructure on the AWS Cloud using CloudFormation templates.
• Provisioned AWS S3 buckets for static web application hosting, snapshots backups storing of VPC flow logs, CloudTrail logs and AMI’s.
• Manage and configure networking components like VPC, VPN, NAT gateways, Route53, etc.
• Engineered Continuous Integration (CI), and Continuous Delivery (CD) using Code-Build, Code-Deploy, and Code-Pipeline.
• Stay up-to-date with new GCP and AWS services and evaluate their usefulness in the current infrastructure.

• Assisted and developed CI/CD pipelines using Jenkins and GitLab CI/CD, enabling automated build, test, and deployment of applications.
• Configured complete DevOps tool chain from the scratch including GITLAB, Jenkins, SonarQube, Nexus, and Docker.
• Gained hands-on experience with infrastructure-as-code (IaC) tools like Azure Resource Manager (ARM) templates or Terraform to provision and manage cloud resources.
• Designed and implemented cloud-based infrastructure solutions on Azure and AWS, including networks, virtual machines, databases, storage, and security.
• Played a crucial role in the success of a cloud migration project using Azure services to deploy applications in a scalable, reliable, and secure manner.\
• Collaborated closely with cross-functional teams to automate deployment, testing, and monitoring of Salesforce applications, ensuring higher quality and reliability.
• Integrated Copado, GearSet, and AutoRABIT into the Salesforce DevOps workflow, streamlining release management and enhancing version control.
• Played a key role in troubleshooting and resolving deployment and integration issues, minimizing downtime and improving system stability.
• Conducted regular DevOps training sessions for development and QA teams, fostering a culture of automation and continuous improvement.

• Installed hardware components across 50+ systems, ensuring 100% compatibility with Linux-based software distributions.
• Mentored a team of 5 junior engineers, improving project output quality and contributing to a 10% faster project delivery time.
• Established and maintained coordination channels with 5 key stakeholders, facilitating smooth project workflows and meeting all deliverable timelines.
• Orchestrated 10 Azure deployments using ARM templates within the last quarter, streamlining the release process and reducing deployment errors by 15%.
• Administered monthly Nessus and Qualys scans across the organization's 200-server infrastructure, resulting in early identification and mitigation of 20 potential vulnerabilities.
• Set up and managed CI/CD processes using CircleCI and Spinnaker for three microservices projects, achieving a 95% successful build and deploy rate
• Deployed Kong as the API Gateway for a microservices-based application serving over 1,000 concurrent users, improving overall API latency by 15%.
• Created automated workflows for 2 high-impact projects using Jenkins pipelines and Airflow, leading to a 20% reduction in repetitive manual tasks