Open to DevOps opportunities

Hi, I’mShreyas Awasthi

DevOps Engineer | 1+ Year of Hands-on Experience

I am a DevOps Engineer with 1+ year of hands-on experience in AWS, Docker, Kubernetes, Terraform, Jenkins, Linux, Git, Ansible, and CI/CD automation.

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shreyas@devops:~

$ whoami

DevOps Engineer

$ cat focus.yml

cloud: AWS
automation: Terraform, Ansible
delivery: Jenkins, GitHub Actions
containers: Docker, Kubernetes
status: building reliable systems_

Kanpur, Uttar Pradesh, India Infrastructure · Automation · Delivery

01 / About

Practical engineering, grounded in fundamentals.

I’m a DevOps Engineer with 1+ year of hands-on experience designing CI/CD pipelines, automating cloud infrastructure, deploying containerized applications, and implementing Infrastructure as Code.

My work spans AWS, Docker, Terraform, Jenkins, Kubernetes, Linux, Git, GitHub Actions, and Ansible. I enjoy turning repetitive operational work into clear, dependable automation—and understanding the systems underneath the tools.

I’m continuously learning modern cloud and platform practices while building production-minded projects that prioritize repeatability, security, observability, and simple recovery.

How I work

01Automate repeatable work

02Secure the delivery path

03Observe before optimizing

04Document the decisions

05Keep learning in public

02 / Technical toolkit

Tools I use to ship with confidence.

A hands-on stack built around cloud infrastructure, delivery automation, containers, and operations.

Cloud

AWS

Operating Systems

Linux · Ubuntu

Containers

Docker · Kubernetes

Infrastructure as Code

Terraform

Configuration

Ansible

CI/CD

Jenkins · GitHub Actions

Version Control

Git · GitHub

Programming

Bash · Python

Networking & Security

VPC · Route53 · Load Balancer · IAM · Security Groups

Monitoring

Prometheus · Grafana

03 / Selected work

Systems built to solve operational problems.

Case studies focused on the decisions, delivery flow, and learning—not just a list of tools.

DevOps Automation Platform

An end-to-end delivery platform combining repeatable infrastructure, automated releases, containerization, observability, and AWS deployment.

AWSTerraformDockerJenkinsGitHubAnsible

Problem statement

Manual environment setup and inconsistent releases made deployment slow, fragile, and difficult to audit.

Solution

Codified AWS resources with Terraform, standardized application containers, orchestrated validation and delivery in Jenkins, and automated host configuration with Ansible.

Deployment flow

Commit → Validate → Build image → Security scan → Provision → Configure → Deploy → Observe

Lessons learned

Idempotent automation and early validation reduce recovery time more effectively than adding deployment complexity.

Future improvements

Add Kubernetes orchestration, progressive delivery, and centralized Prometheus/Grafana dashboards.

CloudForge CI/CD Suite

Secure, repeatable CI/CD pipelines for Java, Python, Go, and React applications with automated testing and deployment gates.

JenkinsDockerSonarQubeTrivyGitLeaksAWS

Problem statement

Different application stacks used inconsistent build steps, quality checks, and release conventions.

Solution

Created reusable pipeline stages for dependency installation, testing, SonarQube analysis, image scanning, artifact handling, and environment promotion.

Deployment flow

Pull request → Unit test → Quality gate → SAST/secret scan → Package → Deploy

Lessons learned

Shared controls work best when teams can extend them without bypassing the secure default path.

Future improvements

Introduce ephemeral test environments and deployment metrics for change failure rate and lead time.

InfraFlow DevOps Platform

Modular AWS infrastructure provisioned through Terraform and connected to an automated Jenkins deployment workflow.

AWSTerraformJenkinsLinuxGitHub

Problem statement

Click-ops created configuration drift and made development and production environments difficult to reproduce.

Solution

Separated reusable Terraform modules for networking, compute, IAM, and load balancing, with plan review and controlled apply stages in Jenkins.

Deployment flow

Change → Format/validate → Plan → Review → Apply → Smoke test

Lessons learned

Small, well-scoped modules and explicit state boundaries make infrastructure changes safer to review and reuse.

Future improvements

Add policy-as-code, remote state locking conventions, and automated cost estimation before apply.

AutoOps CI Framework

A reusable CI/CD framework built with Jenkins Shared Libraries, security scanning, and deployment automation.

JenkinsGroovyGitLeaksTrivyOWASP ZAPDocker

Problem statement

Copy-pasted pipeline definitions caused maintenance overhead and uneven security coverage across repositories.

Solution

Moved common pipeline logic into versioned shared functions while retaining application-level configuration and mandatory security checks.

Deployment flow

Configure → Load library → Build → Scan → Approve → Release → Verify

Lessons learned

A platform abstraction should remove repetition while keeping pipeline behavior visible and debuggable.

Future improvements

Add semantic versioning, contract tests for library steps, and GitOps-based deployment targets.

04 / Engineering outcomes

Hands-on milestones.

Implemented Jenkins Declarative and Scripted Pipelines

Integrated SonarQube Quality Gates into delivery workflows

Automated repeatable infrastructure provisioning with Terraform

Applied Ansible for consistent configuration management

Built reusable Jenkins Shared Libraries

Implemented GitLeaks, Trivy, and OWASP ZAP security checks

Configured IAM, VPC, Route53, Auto Scaling, load balancing, and security groups

Developed CI pipelines for Java, Python, Go, React, and microservices

05 / Experience

Learning by building in real environments.

DevOps Engineer Intern

MyGurukulam powered by OpsTree

Professional experience

Contributed to practical DevOps workflows across application delivery, cloud infrastructure, automation, and security.

CI/CD Pipeline DevelopmentAWS InfrastructureTerraform AutomationDocker ContainerizationLinux AdministrationGit Version ControlJenkins AutomationConfiguration ManagementSecurity Scanning

06 / Learning journey

A deliberate path from fundamentals to platform engineering.

Completed foundations

Linux

Git & GitHub

Docker

Terraform

AWS

Jenkins

Ansible

Currently building depth

Advanced Kubernetes

Helm

ArgoCD

GitOps

Advanced Monitoring

AWS ECS

07 / Certifications

Structured learning, transparently presented.

Certification goals that support—not replace—hands-on engineering practice.

AWS

AWS Cloud Practitioner

Preparing

Verification pending

HashiCorp

Terraform Associate

Planned

Verification pending

Linux Foundation

Kubernetes Fundamentals

Learning

Verification pending

08 / Architecture gallery

How I think about systems.

Concept diagrams for the infrastructure patterns and delivery workflows I practice.

AWS Three Tier

VPC, load balancing, application and data tiers

Terraform Workflow

Validate, plan, review, apply and state

CI/CD Pipeline

Source to secure production delivery

Docker Architecture

Images, registry, runtime and network

Kubernetes Cluster

Control plane, workloads and services

AWS ECS Deployment

Cluster, task definition and service

Monitoring Stack

Metrics, dashboards and alerting

09 / GitHub showcase

Work in progress, in public.

Visit GitHub

Pinned repositories

DevOps Automation PlatformAWS · Terraform · Docker CloudForge CI/CD SuiteJenkins · Docker · SonarQube InfraFlow DevOps PlatformAWS · Terraform · Jenkins

Contribution graph

Consistent learning, labs, documentation, and project iteration.

10 / Let’s connect

Looking for a DevOps Engineer who builds with care?

I’m open to DevOps and cloud engineering opportunities where I can contribute strong fundamentals, practical automation skills, and a learning mindset.

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