Nilesh Lipane

DevOps Engineer

Pune, Maharashtra, India3 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Designed and implemented CI/CD pipelines for AWS EKS.
Guided over 200 trainees in cloud and DevOps best practices.
Enhanced release efficiency by 40% through automation.

Stackforce AI infers this person is a Cloud Computing and DevOps professional with strong automation skills.

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Skills

Core Skills

DevopsCloud Computing

Other Skills

AWSAWS EC2AWS EKSActive DirectoryAmazon CloudWatchAmazon EC2Amazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)Analytical SkillsAnsibleApache SparkApache ZooKeeperApplication ConfigurationArtificial Intelligence (AI)

About

I’m a passionate Cloud & DevOps with 2+ years of hands-on experience in building and automating infrastructure using AWS, Terraform, Docker, Kubernetes, and Jenkins. Currently working as a Cloud & DevOps , where I design real-world projects involving CI/CD pipelines, container orchestration, and multi-cloud solutions (AWS, Azure, GCP). My background includes implementing scalable architectures, automating provisioning with IaC, and optimizing deployments through modern DevOps tools and practices. I’m now seeking to transition into a full-time Cloud/DevOps Engineer role where I can apply my technical expertise to real-world production systems, drive automation, and contribute to system reliability and efficiency.

Experience

3 yrs 6 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs

Current Experience

Highbrow technology inc

Freelance AWS Video Annotator

Nov 2024 – Mar 2025 · 4 mos · India · Remote

Supported an AWS-based project focused on video annotation for machine learning. Worked with cloud tools to process and label video datasets, contributing to the development of AI training models. Enhanced my practical exposure to AWS environments and remote project collaboration.

AWSMachine LearningVideo Annotation

Confidential

Cloud & DevOps

Jun 2024 – Present · 2 yrs · Pune, Maharashtra, India · On-site

Designed and implemented CI/CD pipelines using Jenkins and GitHub Actions to automate microservices deployments on AWS EKS.
Built and deployed multi-container applications using Docker Compose, Helm, and Kubernetes.
Automated provisioning of AWS resources (VPC, EC2, IAM, S3, and EKS) using Terraform.
Developed monitoring dashboards with Prometheus and Grafana to track system and container performance.
Guided 200+ trainees in real-time mini-projects, ensuring best practices in CI/CD, IaC, and containerization.
Collaborated with teams to simulate production-grade infrastructure, bridging training and real deployment standards.

JenkinsGitHub ActionsAWS EKSDocker ComposeHelmKubernetes+5

Borgward technology india private limited

AWS DevOps Associate

Apr 2023 – Jun 2024 · 1 yr 2 mos · Pune, Maharashtra, India · On-site

Implemented CI/CD pipelines using Jenkins integrated with Git and Docker, automating the application build and deployment process.
Configured and managed AWS EC2, S3, RDS, IAM, and CloudWatch to support scalable, secure environments.
Developed Terraform modules for reusable and consistent network provisioning (VPC, Subnets, Security Groups).
Assisted in containerized application deployments on AWS ECS and EKS, improving environment consistency.
Enhanced release efficiency by 40% through automation and improved version control workflows.
Supported performance tuning, version upgrades, and environment monitoring to ensure high availability.
Worked closely with developers and QA to enable continuous delivery and minimize deployment risks.

JenkinsGitDockerAWS EC2S3RDS+5

Cloudage global services private limited.

Cloud Engineer Intern

Dec 2022 – Apr 2023 · 4 mos · Pune, Maharashtra, India · On-site

Supported design and maintenance of AWS and Azure cloud environments for internal projects.
Assisted in infrastructure automation using Bash and Python scripts for EC2 and S3 provisioning.
Deployed sample web applications using Docker and AWS EC2 for testing and evaluation.
Contributed to system monitoring setup using CloudWatch and custom log scripts.
Learned the end-to-end deployment workflow — from code commit to automated deployment and monitoring.
Worked on documentation and knowledge sharing to support internal cloud migration initiatives.

AWSAzureBashPythonDockerCloudWatch+1