Aditya Agasti

DevOps Engineer

Aurangabad, Maharashtra, India0 mo experience

Key Highlights

Expert in automating scalable AWS infrastructure solutions.
Proficient in Docker and Kubernetes for container orchestration.
Strong background in CI/CD pipeline design and implementation.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in DevOps practices.

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Skills

Core Skills

Cloud ComputingContainer Orchestration

Other Skills

AWS ALBAWS Auto ScalingAWS Auto Scaling GroupsAWS CodeBuildAWS CodeDeployAWS DynamoDBAWS EC2AWS LambdaAWS S3Amazon DynamoDBAnsibleBashCloud InfrastructureCloudWatchComputer Science

About

DevOps and Cloud Engineer with hands-on experience in automating and deploying scalable AWS infrastructure solutions. Skilled in Docker and Kubernetes for container orchestration. Seeking to contribute to innovative cloud projects.

Experience

Hisan labs - hisan labs pvt ltd

Devops Engineer intern

Mar 2025 – Nov 2025 · 8 mos · Pune, Maharashtra, India · On-site

Provisioned and managed multi-environment infrastructure using Terraform, creating reusable modules for AWS
EC2, S3, DynamoDB, ALB, Auto Scaling Groups, and WAF, ensuring scalability and high availability.
Automated server configuration & deployments with Ansible, Nginx, and Shell scripts, reducing manual
effort and improving consistency across multiple environments.
Designed and implemented CI/CD pipelines in Jenkins, integrating GitHub, Maven, SonarQube,
Tomcat, CodeBuild, and CodeDeploy to enable automated builds, code quality checks, and zero-downtime
deployments.
Deployed containerized microservices using Docker and orchestrated them on Kubernetes (EKS/ECS) with
Helm charts, Ingress, CoreDNS, and Metrics Server, enabling smooth rolling updates and service
discovery.
Implemented proactive monitoring and alerting solutions using Prometheus, Grafana, Datadog, and
CloudWatch, helping in early detection of issues and improving system reliability.
Automated routine workflows, troubleshooting tasks, and rollback testing using Python & Bash scripts,
improving operational efficiency and reducing downtime during failures.