Prasad A Parit

DevOps Engineer

India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Hands-on experience with cloud infrastructure and automation.
  • Proficient in Kubernetes and Docker for scalable deployments.
  • Strong foundation in DevOps practices and CI/CD pipelines.
Stackforce AI infers this person is a DevOps Engineer with a focus on Cloud Infrastructure and Automation in SaaS.

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Skills

Core Skills

Amazon Web Services (aws)DockerKubernetesAnsible

Other Skills

AWS LambdaJenkinsAWS (EC2, Lambda, EKS, etc.)SQLJavaAmazon VPCElasticsearchAmazon CloudWatchContainerizationLinuxDevOpsCloud ComputingFile SharingMySQLCLI

About

๐Ÿš€ Final-year Computer Science student and aspiring DevOps Engineer with hands-on experience in cloud infrastructure, automation, CI/CD, and observability. Through my experience as a DevOps Engineer Intern at smallcase and Python Developer Intern at Nypus AI, I have worked on real-world production environments, contributing to AWS infrastructure, Kubernetes-based deployments, Infrastructure as Code, monitoring systems, and automation workflows. I enjoy building scalable, reliable systems and solving operational challenges through engineering and automation. My technical experience includes AWS, Kubernetes, Docker, Terraform, Jenkins, ArgoCD, GitHub Actions, Elasticsearch, Grafana, Prometheus, Linux, and Python. I've worked on projects involving cloud infrastructure provisioning, GitOps-driven deployments, monitoring modernization, AI agent automation, and application performance monitoring. I am particularly interested in DevOps, Site Reliability Engineering (SRE), Cloud Infrastructure, Platform Engineering, and Cloud-Native Technologies. I enjoy continuously learning, experimenting with new tools, and applying best practices to improve reliability, scalability, and operational efficiency. I'm actively looking to grow my career in DevOps and Cloud Engineering while contributing to teams that value automation, innovation, and continuous improvement. Let's connect and discuss DevOps, Cloud, Kubernetes, Automation, and Infrastructure Engineering.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Smallcase

DevOps Engineer Intern

May 2025 โ€“ May 2026 ยท 1 yr ยท Bengaluru, Karnataka, India ยท Hybrid

AWS LambdaAmazon Web Services (AWS)

Nypus ai

Python Developer Intern

Dec 2024 โ€“ Feb 2025 ยท 2 mos ยท Bengaluru, Karnataka, India ยท Remote

Linuxworld informatics pvt ltd

ARTH3.0-The School of Technologies

Sep 2022 โ€“ Oct 2023 ยท 1 yr 1 mo ยท Bengaluru, Karnataka, India ยท Remote

  • Throughout my ARTH 3.0 academic journey, I have gained hands-on experience with a variety of
  • DevOps technologies, including Docker, Kubernetes, Jenkins, AWS (EC2, Lambda, EKS,
  • etc.), and configuration management tools like Ansible. I have successfully completed
  • projects such as building a GUI container in Docker and configuring an HTTP server using
  • Ansible, which enhanced my skills in automation, cloud deployment, and troubleshooting.
  • These experiences have deepened my understanding of scalable infrastructure, container
  • orchestration, and CI/CD pipelines
DockerKubernetesJenkinsAWS (EC2, Lambda, EKS, etc.)AnsibleSQL+1

Education

JSS Academy Of Technical Education Karnataka

Bachelor's degree โ€” Computer Science

Nov 2022 โ€“ Jun 2026

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