SRIVENKATESH R

Devops Engineer

https://www.opentalent.in/srivenkatesh-r

Devops Engineer with less than a year in AWS, Kubernetes, and CI/CD for cloud infrastructure automat

Key Strengths

Strong foundational knowledge in DevOps principles and tools, including AWS, Docker, Kubernetes, Terraform, and Jenkins.
Demonstrated ability to design and implement CI/CD pipelines with integrated security (SonarQube, Trivy).
Experience with Infrastructure as Code (IaC) using Terraform, including state management best practices.
Proficiency in setting up observability platforms with Prometheus and Grafana.
Practical experience with Kubernetes orchestration, Helm, and GitOps (ArgoCD).
Good understanding of cloud networking concepts (VPC, subnets, NAT Gateways, ALB) and security group configurations.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects demonstrate a strong alignment with modern DevOps practices, including automation, containerization, cloud infrastructure, and observability. The breadth of technologies covered (AWS, Docker, Kubernetes, Jenkins, Terraform, Prometheus, Grafana, GitOps) indicates a willingness to learn and adapt to various tools, which is a positive cultural fit for dynamic engineering teams. The academic background and certifications further support a continuous learning mindset. However, the lack of professional experience means team collaboration and real-world problem-solving under pressure are unproven.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on best practices (e.g., optimizing Terraform state, implementing self-healing deployments, securing applications). The academic nature of projects suggests a strong learning aptitude and ability to apply theoretical knowledge to practical scenarios. However, without professional experience, the operational fit in a real-world, fast-paced environment is yet to be validated.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

Highly technical DevOps & Cloud Engineer with solid expertise in automating software delivery pipelines, architecting resilient cloud infrastructure, and orchestrating containerized workloads. Advanced proficiency in AWS, Docker, Kubernetes, Terraform, and Jenkins. Specialized in implementing GitOps workflows, writing declarative Infrastructure as Code (IaC), securing pipelines with automated vulnerability scanners (Trivy, SonarQube), and setting up comprehensive observability platforms using Prometheus and Grafana.

Top Skills

AWSDjangoNginx

Projects

High-Availability AWS Cloud Infrastructure & CI/CD

June 1, 2026 – Present

Provisioned a multi-tier, secure AWS cloud environment using Terraform, featuring public/private subnets, custom Route Tables, NAT Gateways, and an Application Load Balancer. Designed a declarative Jenkins CI/CD pipeline that automatically triggers on git commits, executing static code analysis (SonarQube) and building production-ready Docker containers. Optimized Terraform state management by utilizing Amazon S3 for state storage and DynamoDB for distributed state locking, enabling secure, collaborative team execution. Secured public-facing web applications by deploying an Nginx Reverse Proxy with custom SSL termination, rate-limiting, and hardened security group headers.

View Project

Secure Multi-Tier CI/CD Containerization

June 1, 2026 – Present

Containerized a multi-tier web application (NodeJS, Express, MongoDB) using multi-stage Docker builds, shrinking the base application image size by 62%. Integrated Trivy container image scanning into the automation pipeline, preventing the deployment of high and critical vulnerabilities to production registries. Configured local development and staging orchestration scripts using Docker Compose, establishing bridge network isolation to secure backend database ports.

View Project

Enterprise Kubernetes Observability & GitOps Delivery

June 1, 2026 – Present

Orchestrated a highly available Python/Django web application on a Kubernetes cluster, utilizing Helm Charts to package and version-control microservice configurations. Established comprehensive cluster observability by deploying Prometheus and Grafana, constructing custom dashboards to monitor pod CPU, memory consumption, and network I/O. Configured a self-healing deployment strategy incorporating Kubernetes Liveness and Readiness probes, reducing system downtime during application updates to absolute 0%. Implemented secure configuration management using Kubernetes ConfigMaps and base-64 encoded Secrets, mounting them as environment variables inside pod definitions. Designed and mapped persistent volume storage classes to ensure PostgreSQL database state preservation across pod scheduling lifecycles.

View Project

Certifications

Docker Essentials & Kubernetes Essentials

IBM

June 1, 2026 – Present

IBM Cloud Essentials

IBM

June 1, 2026 – Present

Python Essentials

Cisco

June 1, 2026 – Present

Key Strengths

Strong foundational knowledge in DevOps principles and tools, including AWS, Docker, Kubernetes, Terraform, and Jenkins.
Demonstrated ability to design and implement CI/CD pipelines with integrated security (SonarQube, Trivy).
Experience with Infrastructure as Code (IaC) using Terraform, including state management best practices.
Proficiency in setting up observability platforms with Prometheus and Grafana.
Practical experience with Kubernetes orchestration, Helm, and GitOps (ArgoCD).
Good understanding of cloud networking concepts (VPC, subnets, NAT Gateways, ALB) and security group configurations.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

SRIVENKATESH R

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Cultural & Operational Fit