Manan Paliwal

DevOps Engineer

Udaipur, India1 yr experience

Key Highlights

Expert in CI/CD automation and cloud-native architecture.
Proven track record in optimizing software delivery pipelines.
Strong collaborative skills in transforming complex problems.

Stackforce AI infers this person is a DevOps Engineer specializing in cloud-native solutions and CI/CD automation.

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Skills

Core Skills

KubernetesAmazon Web Services (aws)Microsoft AzureFastapiPostgresqlGoogle Cloud RunCi/cd

Other Skills

RedisKubernetes EngineGitHub ActionsJenkinsGrafana LokiReverse ProxyFlaskAfter EffectsAdobe PhotoshopDockerDatadogGrafanaZabbixLinux System AdministrationRed Hat Linux

About

I’m a passionate DevOps Engineer specializing in automating, optimizing, and scaling software delivery pipelines. I bring hands-on experience in designing and implementing both high-level and low-level architecture for scalable, cloud-native applications — ensuring performance, reliability, and security from the ground up. From CI/CD automation and infrastructure as code to containerization and real-time monitoring, I thrive in collaborative environments and love transforming complex problems into efficient, automated solutions that accelerate innovation and delivery.

Experience

1 yr

Total Experience

6 mos

Average Tenure

6 mos

Current Experience

Kadel labs

DevOps Engineer

Nov 2025 – Present · 6 mos · Udaipur · Hybrid

KubernetesAmazon Web Services (AWS)

Webanix

DevOps Engineer

May 2025 – Nov 2025 · 6 mos · Boston, Massachusetts, United States · Remote

Microsoft AzureAmazon Web Services (AWS)

Easewin gaming

DevOps Engineer

Dec 2024 – Jul 2025 · 7 mos · Udaipur, Rajasthan, India · On-site

Designed and implemented scalable REST and gRPC APIs using FastAPI, enhancing system performance and developer productivity.
Optimized PostgreSQL queries and indexing strategies, reducing API response times by over 40%.
Integrated Redis for caching and pub/sub mechanisms to enable real-time updates and minimize database load.
Deployed microservices on Google Cloud Run and Kubernetes Engine, ensuring high availability and horizontal scalability.
Automated CI/CD workflows using GitHub Actions, Jenkins & streamlining deployments to staging and production environments.
Configured centralized logging with Grafana Loki for efficient debugging and traceability.
Built health checks and auto-recovery workflows to maintain uptime and self-heal on failure.
Led backend architecture discussions and code reviews, promoting clean code practices and reusable components.

Microsoft AzureAmazon Web Services (AWS)FastAPIPostgreSQLRedisGoogle Cloud Run+4

Codenscious.ai

DevOps Engineer

Sep 2024 – Dec 2024 · 3 mos · Indore, Madhya Pradesh, India · Remote

1. Hands-on experience with creating and managing CI/CD pipelines for project deployment using AWS EC2.
2. Automated workflows using webhooks and mastered containerization with Docker and Docker Compose.
3. Conducted manual and automated testing using Node.js and Python testing tools.
4. Used GitHub for version control and workflow automation.

Reverse ProxyFlask