DevOps Engineer focused on automation, reliability, and scalable cloud infrastructure
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I’m a DevOps Engineer with a strong interest in building reliable, automated, and scalable systems. My journey into DevOps started with curiosity around how applications are deployed, monitored, and kept stable in real-world environments.
I enjoy working on CI/CD automation, cloud infrastructure on AWS, containerized deployments, and operational tooling that reduces repetitive work and human error. I focus on understanding the why behind architectural decisions, not just the how.
Currently, I’m strengthening my skills by building production-like projects that simulate real DevOps challenges such as monitoring, failure handling, and deployment strategies.
Designing and managing cloud infrastructure on AWS with a focus on scalability, security basics, and cost-aware resource usage.
Tools:AWS (EC2, S3, VPC, IAM, CloudWatch)
Building automated pipelines to streamline build, test, and deployment workflows while reducing manual intervention.
Tools:GitHub Actions, Git, GitHub
Packaging applications into containers and deploying them in a consistent and repeatable manner across environments.
Tools:Docker
Implementing basic monitoring and alerting to observe system health and improve operational visibility.
Tools:CloudWatch (Logs, Metrics, Alarms)
Working comfortably with Linux systems, shell commands, and foundational networking concepts.
Tools:Linux, Shell scripting, Networking basics
Manual deployments were time-consuming, error-prone, and inconsistent across environments, making it difficult to deploy updates reliably.
Designed a CI/CD pipeline using GitHub Actions to automate application build, Docker image creation, and deployment to AWS infrastructure.
Tools Used: GitHub Actions, Docker, AWS EC2, Linux
Manually configuring servers led to configuration drift and inconsistent environments.
Implemented infrastructure automation using Ansible playbooks to standardize server setup and application deployment.
Tools Used: Ansible, AWS EC2, Linux
Application behavior differed across environments due to dependency mismatches.
Containerized the application using Docker to ensure consistency across development and deployment environments.
Tools Used: Docker, Linux
Lack of monitoring made it difficult to detect performance issues or failures early.
Implemented monitoring and alerting using AWS CloudWatch to observe system health and respond proactively to incidents.
Tools Used: AWS CloudWatch, EC2, Linux
I’m open to DevOps / SRE opportunities and collaborations. Feel free to reach out if you’d like to discuss roles, projects, or ideas.
📧 Email: shubhdixittab@gmail.com
🌍 Location: India (Open to remote opportunities)