Hi, I'm Ujjaval Parmar
Associate DevOps Engineer
Building scalable cloud infrastructure and automating deployments with 50% faster CI/CD pipelines. Passionate about Kubernetes, AWS, and GitOps practices.
Crafting Cloud Solutions
I'm a passionate DevOps Engineer with hands-on experience in building and maintaining scalable cloud infrastructure. Currently working at GlobalVoxInc, I specialize in automating CI/CD pipelines, managing Kubernetes clusters, and implementing robust monitoring solutions that drive operational excellence.
Cloud Architecture
Designing highly available AWS infrastructure with 99.99% uptime SLA
Container Orchestration
Managing Kubernetes clusters with zero-downtime deployments
CI/CD Automation
Building pipelines that reduced deployment time by 50%
Security First
Implementing SSL/TLS, secret management, and security best practices
Performance
Optimizing monitoring with ELK Stack, reducing debug time by 40%
Collaboration
Working with cross-functional teams to deliver scalable solutions
My Tech Arsenal
A comprehensive toolkit for building and managing modern cloud infrastructure
Cloud & Infrastructure
9 technologies
Container Orchestration
7 technologies
CI/CD & Automation
6 technologies
Monitoring & Observability
5 technologies
Data Management
4 technologies
Languages & Frameworks
6 technologies
Professional Journey
Building expertise in cloud infrastructure and DevOps automation
Associate DevOps Engineer
Leading DevOps initiatives for cloud infrastructure and CI/CD automation.
- Architected and deployed CI/CD pipelines using Jenkins and ArgoCD, achieving 50% reduction in deployment time and enabling continuous delivery for 5+ microservices across multiple environments
- Deployed AWS Nitro Enclaves for secure processing of sensitive workloads, enhancing data protection and ensuring compliance with security best practices
- Established centralized logging infrastructure using ELK Stack (Elasticsearch, Logstash, Kibana), reducing debug time by 40% and improving incident response capabilities
- Implemented comprehensive monitoring solutions with Prometheus, Grafana, and New Relic for proactive issue detection and system health management
- Managed Kubernetes clusters ensuring zero downtime deployments with automated rollback capabilities, health checks, and high availability configurations
- Automated infrastructure provisioning and configuration management using Bash and Python scripts, improving workflow efficiency and optimizing load distribution across systems
Software Engineering Trainee (Internship)
Gained hands-on experience in DevOps practices and Kubernetes deployments.
- Implemented SSL/TLS certificates for internal domains to enhance security posture and ensure encrypted communications
- Configured Kubernetes deployments with high availability strategies, achieving zero downtime for production applications
Featured Work
Real-world projects showcasing infrastructure automation and cloud architecture
Automated GitOps CI/CD with Kubernetes & ArgoCD
Designed multi-branch GitOps CI/CD pipeline using Jenkins with automated manifest and image tag updates, enabling seamless deployments for 5+ microservices.
- Integrated Docker Hub as container registry with version management
- Automated Jenkins pipelines for efficient image builds
- Implemented Doppler for secure secret management
Scalable & Secure AWS Architecture with Load Balancing
Architected highly available AWS infrastructure with multi-AZ deployment strategy, achieving 99.99% uptime SLA.
- Deployed VPC with multiple subnets across availability zones
- Configured Application Load Balancer for intelligent traffic distribution
- Implemented secure routing tables and network security groups
Centralized Monitoring & Logging Infrastructure
Built comprehensive monitoring and logging solution using ELK Stack and Prometheus/Grafana for proactive system health management.
- Deployed Elasticsearch, Logstash, and Kibana for centralized logging
- Configured Prometheus for metrics collection across all services
- Created custom Grafana dashboards for real-time visualization
Kubernetes High Availability Cluster
Managed production Kubernetes clusters with zero-downtime deployments, automated rollbacks, and comprehensive health monitoring.
- Configured multi-node clusters with automated scaling
- Implemented rolling updates with zero-downtime strategy
- Set up automated rollback capabilities for failed deployments
Academic Background
Bachelor of Technology in Computer Science & Engineering
Pandit Deendayal Energy University
Certifications
Data Analytics with Python
NPTEL
Continuous Learning
Actively pursuing certifications in AWS, Kubernetes (CKA), and advanced DevOps practices.
Let's Connect
Have a project in mind or want to discuss opportunities? I'd love to hear from you!
Connect on Social
I'm currently open to full-time DevOps Engineer positions and exciting freelance projects. Let's build something amazing together!