Cloud Platforms
AWS
GCPAWS & GCP Certified DevOps Engineer
Niranjan Annavarapu
Certified DevOps Engineer | AWS, GCP & Kubernetes
I help startups and product teams ship faster by building secure cloud platforms, automated CI/CD pipelines, and resilient Kubernetes operations with measurable uptime and cost outcomes.
40%
Release Velocity Up
50%
Manual Work Reduced
99.9%
Production Uptime
About Me
DevOps engineer focused on secure cloud automation and reliable production delivery.
I help teams build scalable AWS and GCP platforms using Kubernetes, Terraform, CI/CD pipelines, Linux operations, and observability best practices.
✓AWS & GCP certified with hands-on multi-cloud platform engineering experience.
✓Strong in CI/CD optimization, Infrastructure as Code, containerization, and Kubernetes operations.
✓Security-driven approach with DevSecOps controls, monitoring, and production hardening.
Professional Snapshot
Role
DevOps Engineer
@ Dyashin Technosoft (July 2024 - Present)
Certifications
AWS Solutions Architect Associate
Google Professional Cloud Architect
Education
B.Tech in Computer Science
Raghu Engineering College (2024)
Awards
Dyashin Excellence Award
Cloud Infrastructure Innovation
40%
Faster Deployments
50%
Less Manual Work
99.9%
Platform Uptime
Technical Skills
Core cloud, DevOps, Linux, Python, security, and observability technologies used in real production environments.
AWSGCPCI/CD & Pipelines
CI/CD Pipeline DesignGitHub Actions
GitLab CI
JenkinsInfrastructure as Code
TerraformContainers & Orchestration
Docker
Kubernetes (K8s)Operating Systems
LinuxScripting & Programming
PythonCloud Security
Wiz
SonarQubeSonarQube
TrivyTrivy
Monitoring & Observability
Prometheus
GrafanaAWS CloudWatchGoogle Cloud MonitoringDevOps & Cloud Services
01
CI/CD Pipeline Setup & Optimization
Design and implement end-to-end CI/CD pipelines using Jenkins, GitLab CI/CD, and GitHub Actions for faster and reliable automated deployments.
02
AWS & GCP Cloud Architecture
Design scalable, high-availability multi-cloud infrastructure leveraging AWS and GCP services optimized for cost and performance.
03
Terraform Automation
Infrastructure as Code solutions with Terraform to provision, manage, and version-control cloud resources efficiently.
04
Dockerization of Applications
Containerize monolithic and microservice applications with Docker for consistent development and production environments.
05
Kubernetes Cluster Setup & Management
Deploy, manage, and scale secure Kubernetes clusters for containerized workloads and robust orchestration.
06
Linux Server Administration
Comprehensive Linux administration, shell scripting, and system performance tuning for robust server environments.
07
Monitoring & Alerting
Implement Prometheus, Grafana, CloudWatch, and Cloud Monitoring for transparent observability and proactive alerting.
08
Cloud Security & DevSecOps
Implement security best practices with Wiz CNAPP, automated code analysis via SonarQube, and container vulnerability scanning with Trivy.
09
DevOps Consulting
Strategic consulting to assess current workflows, align DevOps practices with business goals, and enhance team productivity.
Projects / Case Studies
July 2024 - PresentDS Edify: AWS-Based Learning Platform
$ kubectl get pods -n ds-edify
Click to open / close details
Problem:Need to deploy a scalable, high-availability learning platform with rapid auto-scaling and real-time monitoring.
Implementation:Architected multi-tier AWS infrastructure using EC2, App Runner, RDS, S3, ALB, and Route 53. Added CloudWatch dashboards, alarms, and release automation.
AWS EC2App RunnerRDSS3ALBRoute 53CloudWatchDocker
Result / Impact:
- ✓Reduced incident detection time by 60%
- ✓Implemented high-availability scaling model
- ✓Delivered 99.9% uptime SLA
Aug 2024 - PresentGCP Multi-Application Infrastructure (Amrize)
$ gcloud run services list --platform managed
Click to open / close details
Problem:Manage 12+ microservices across GCP with automated deployments and secure service-to-service access.
Implementation:Built infrastructure on Cloud Run, App Engine, Cloud SQL, and Firestore. Implemented GitLab CI pipelines and IAM least-privilege policies.
GCP Cloud RunApp EngineCloud SQLFirestoreGitLab CI/CDIAMCloud Monitoring
Result / Impact:
- ✓Improved release frequency by 35%
- ✓Cut manual operations by 50%
- ✓Standardized IAM security controls
Sep 2024 - Dec 2024DS Jobby: Dockerized Job Portal
$ docker compose up -d --build
Click to open / close details
Problem:Containerize a legacy job portal and deploy securely with isolated networking and identity controls.
Implementation:Built containerized services, pushed images to AWS ECR, and deployed with VPC isolation, security groups, NAT, and IAM policies.
DockerAWS ECRVPCIAM RolesSecurity GroupsEC2
Result / Impact:
- ✓Reduced deployment time by 45%
- ✓Hardened network boundary with isolated VPC
- ✓Enforced secure IAM-based integrations
Jan 2025 - Mar 2025Automated DevSecOps Pipeline
$ trivy image myservice:latest
Click to open / close details
Problem:Integrate security scanning into CI/CD without slowing developer velocity.
Implementation:Engineered Jenkins shared libraries to run Terraform checks, Trivy image scans, SonarQube code analysis, and Wiz posture validation.
JenkinsTrivySonarQubeWizTerraformDocker
Result / Impact:
- ✓Detected 90% critical issues before production
- ✓Applied security guardrails across 20+ repos
- ✓Reduced audit turnaround by 80%
Impact & Results
Measurable delivery outcomes from production DevOps work across cloud infrastructure, CI/CD, monitoring, and platform reliability.
CI/CDC
0%
Deployment Efficiency
Pipeline optimization and release automation
IaCI
0%
Manual Effort Reduced
Automation across provisioning and delivery operations
SRES
0%
Production Uptime
High-availability infrastructure across 12+ applications
OBSO
0%
MTTR Improvement
Monitoring and alerting tuned for faster incident response
Experience
DevOps Engineer
Dyashin Technosoft Pvt. Ltd.
July 2024 - Present
Bangalore, India
- ▹Designed and operated multi-cloud infrastructure on AWS and GCP for 12+ production applications.
- ▹Built CI/CD pipelines with Jenkins, GitLab CI, and GitHub Actions to improve release speed and stability.
- ▹Automated provisioning and environment consistency using Terraform-based Infrastructure as Code patterns.
- ▹Managed Linux systems, Docker workloads, and Kubernetes deployments with production hardening practices.
- ▹Improved observability with CloudWatch, Prometheus, and Grafana to reduce incident response time by 45%.
- ▹Applied cloud security controls with IAM least privilege, Wiz checks, and policy-first operations.
AWSGCPKubernetesDockerTerraformJenkinsLinuxWizPrometheusGrafana
99.9%
Production Uptime
40%
Deployment Faster
50%
Manual Effort Reduced
45%
MTTR Improved
- Linux administration and runtime hardening
- Container lifecycle and Kubernetes operations
- CI/CD release governance and rollback strategy
- Cloud monitoring, alerting, and operational readiness
Certifications 🎓
AWS Certified Solutions Architect – Associate
Amazon Web Services
Issued: Jan 2026
Expires: Jan 2029
Google Professional Cloud Architect
Google Cloud
Issued: Jan 2026
Expires: Jan 2028
GitHub Foundations Certification
GitHub
Issued: 2025
Expires: 2028
LFS101: Introduction to Linux
The Linux Foundation
Issued: 2024
Expires: Never
Latest Blogs
Security7 min readSecure CI/CD Pipeline Patterns for 2026
$ grep -R --line-number 'TODO:security' .
How to design fast pipelines with built-in security checks using Trivy, SAST, secrets scanning, and policy gates.
2026-02-10
Security7 min read
Key Takeaways
- ▹Shift-left checks without blocking developer productivity
- ▹Use severity-based policy gates for merge decisions
- ▹Automate artifact signing and SBOM generation
DevSecOpsGitHub ActionsTrivySAST
Kubernetes8 min readKubernetes Cost Optimization: A Practical Playbook
$ kubectl top nodes
Reduce cloud spend with rightsizing, cluster autoscaling, spot strategies, and workload scheduling best practices.
2026-01-22
Kubernetes8 min read
Key Takeaways
- ▹Identify underutilized workloads with metrics
- ▹Adopt spot-aware autoscaling safely
- ▹Track cost per namespace for team accountability
KubernetesEKSKarpenterFinOps
Cloud6 min readMulti-Cloud Observability Across AWS & GCP
$ tail -f /var/log/syslog
Build one monitoring strategy for logs, metrics, traces, and alerts across both cloud platforms.
2025-12-30
Cloud6 min read
Key Takeaways
- ▹Use shared alert taxonomy across clouds
- ▹Correlate metrics and logs for faster RCA
- ▹Apply SLOs to reduce noisy alerting
CloudWatchGrafanaSLOIncident Response
DevOps & Cloud FAQ
Do you work as a DevOps engineer for remote teams?Open
Yes. I work remotely with startups, SaaS companies, and product teams across time zones for CI/CD automation, Kubernetes reliability, cloud migration, and DevSecOps improvements.
Which cloud platforms and DevOps tools do you support?Open
I support AWS and GCP with Kubernetes, Docker, Terraform, Jenkins, GitHub Actions, GitLab CI, Prometheus, Grafana, and Linux automation.
Can you improve release speed without compromising security?Open
Yes. I implement secure delivery pipelines with policy gates, image scanning, infrastructure checks, and observability so teams ship faster while reducing production risk.
Can you optimize Kubernetes cost and performance for production?Open
Yes. I tune autoscaling, right-size workloads, improve resource governance, and build monitoring-driven controls to lower cloud spend and improve service stability.
What Clients Say
★★★★★
"Niranjan transformed our CI/CD pipeline, reducing deployment time from hours to minutes. Highly professional and knowledgeable."
RK
Raj Kumar
CTO at Tech Scale Startup
★★★★★
"Expert in Kubernetes and AWS. Automated our entire infrastructure, saving us thousands monthly. Exceeded expectations."
PS
Priya Singh
VP Engineering at Cloud-Native Corp
★★★★★
"Best DevOps engineer I've worked with. Deep knowledge of infrastructure as code and container orchestration. Highly recommended."
AP
Amit Patel
Engineering Manager at Enterprise Solutions
Trusted by 50+ Teams
From startups to enterprise teams, organizations rely on robust cloud infrastructure and dependable release engineering.
Tech Stack Snapshot
SonarQubeTrivy
Wiz | SonarQube | TrivyContact / Hire Me
I'm a DevOps Engineer ensuring cloud architecture and CI/CD operations are reliable, secure, and scalable. Available for full-time, part-time, and freelance opportunities.
Open For DevOps Projects