Purushotham Reddy

DevOps Engineer

Bangalore Urban, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in automating CI/CD pipelines and cloud infrastructure.
Proven track record in reducing deployment times and system downtime.
Strong foundation in scripting and cloud technologies.

Stackforce AI infers this person is a Cloud Infrastructure and DevOps specialist with a focus on automation and CI/CD.

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Skills

Core Skills

Cloud InfrastructureAutomation & IacContainerizationCi/cdMonitoring & LoggingScripting & Automation

Other Skills

AWSAmazon CloudWatchAmazon Web Services (AWS)Artificial Intelligence (AI)AutomationAzure DevOpsAzure Kubernetes Service (AKS)BashCareer ManagementCloud ComputingCloud Migration ToolsComputer EthicsDevOpsDockerGenerative AI

Experience

Ust

DevOps Engineer

May 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

F13 technologies

AWS Cloud Engineer

Jul 2024 – Oct 2024 · 3 mos · Delhi, India · Hybrid

● Utilized Terraform for Infrastructure as Code (IaC) to automate resource
provisioning, resolve discrepancies, and ensure consistent infrastructure states.
● Created Dockerfiles for containerizing applications and enabling deployment through Docker.
● Integrated tools across CI/CD stages including Nexus, SonarQube for code quality, and security checks.
● Implemented proactive monitoring and alerting using Prometheus and Grafana, reducing system downtime by 15%..

TerraformDockerCI/CDPrometheusGrafanaCloud Infrastructure+1

Gigamon

DevOps and Cloud Engineer

Feb 2023 – Dec 2023 · 10 mos · Chennai, Tamil Nadu, India · On-site

Developed Bash and Python scripts to automate routine tasks, reducing manual effort by 20% and virtually eliminating errors, freeing up time for more strategic initiatives.
Developed and implemented cloud migration strategies, utilizing expertise in cloud migration tools and IT landscape assessments, resulting in 75% reduction in migration time.
Automated infrastructure provisioning using Terraform, slashing deployment times by 30% and paving the way for faster time-to-market.
Managed various computing services in AWS and provisioned infrastructure using Terraform.
Developed various workspaces and modules in Terraform
Managed and maintained Kubernetes clusters, ensuring high availability and scalability for containerized applications. Implemented rolling updates and automatic scaling to accommodate increased workloads during peak usage periods

BashPythonTerraformKubernetesAWSCloud Infrastructure+1