Vishnu Rathore

DevOps Engineer

India1 yr 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable cloud infrastructure.
Proficient in CI/CD automation and container orchestration.
Strong background in security practices and cost optimization.

Stackforce AI infers this person is a DevOps engineer specializing in cloud infrastructure and automation within the Healthcare and Fintech sectors.

Contact

vishnu.eps91@gmail.com LinkedIn

Skills

Core Skills

Cloud InfrastructureCi/cd Pipelines

Other Skills

AWSAWS CDKAWS CloudFrontAWS EKSAWS LambdaAmazon CloudWatchAmazon DynamodbAmazon EC2Amazon EKSAmazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)Analytical SkillsAnsibleApache Impala

About

DevOps engineer specializing in building scalable, secure infrastructure and optimizing system performance through cloud technologies. Experienced in automation, monitoring, logging, and observability practices to ensure reliable, high-performing systems. Passionate about Linux and delivering efficient solutions that enhance product quality and operational excellence. What I Do: Design and manage cloud infrastructure on AWS, GCP, and Azure with a focus on containerization, Kubernetes orchestration, and CI/CD automation. I bridge the gap between development, data, and QA teams to optimize workflows and accelerate delivery. Core Expertise: Cloud Infrastructure & Containerization (Docker, Kubernetes, EKS, AKS, GKE, ECS) CI/CD Pipelines (ArgoCD, Jenkins, GitHub Actions, GitLab CI/CD) Infrastructure as Code (Terraform, Ansible, CloudFormation) Monitoring & Observability (Prometheus, Grafana, OpenTelemetry, ELK Stack) Automation & Scripting (Python, Shell) Linux enthusiast committed to operational excellence and continuous improvement.

Experience

1 yr 3 mos

Total Experience

7 mos

Average Tenure

11 mos

Current Experience

Zynix.ai

DevOps Engineer

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Built and deployed CI/CD pipelines using GitHub Actions and ArgoCD, provisioning infrastructure on AWS (ECS, Elastic Beanstalk, VPC, EC2) and Azure (AKS,, Service Bus, Blob Storage)
Designed automated deployment pipelines for microservices on AWS ECS with optimized Dockerfiles,
Terraform-managed infrastructure, Route53 DNS, Application Load Balancers with Auto Scaling Groups, and Signoz monitoring with OpenTelemetry
Deployed an scalable multi-cloud ML pipeline infrastructure on Azure AKS for processing healthcare FHIR data from AWS HealthLake via Athena, leveraging KEDA autoscaling, Azure Service Bus event-driven orchestration, OpenAI GPT-4 integration, OCR processing, and Docker containerization, reducing pipeline completion time by 80% and enabling efficient processing with automatic resource management
Implemented comprehensive security practices including IAM role-based access control, secrets management using AWS Secrets Manager and Azure Key Vault, network security with VPC peering and SG rules, and compliance automation for SOC 2 and HIPAA requirements
Established infrastructure cost optimization strategies by right-sizing EC2 instances, implementing ECS Fargate Spot pricing for non-critical workloads, enabling autoscaling on node pools in Azure AKS clusters, and automating resource scheduling, resulting in a 25% reduction in monthly cloud spending.
Created automated infrastructure provisioning scripts using Terraform modules for reusable components across environments, implementing GitOps workflows with ArgoCD for declarative infrastructure management and enabling self-service infrastructure for development teams

GitHub ActionsArgoCDAWSAzureDockerTerraform+6

Career break

Professional development

Jan 2025 – May 2025 · 4 mos

Upskilled myself on AWS Cloud Services, Container Orchestration ( Docker, Kubernetes, Helm), Automation tools (Terraform , Ansible), Monitoring and Observability solutions ( Prometheus, Grafana, ELK Stack), CI/CD Pipelines, ArgoCD, Istio Service Mesh, DevSecOps practices (Sonarqube, OWASP, Trivy), Secret Management

AWSDockerKubernetesTerraformAnsiblePrometheus+4

Rebid

DevOps Engineer

Apr 2024 – Dec 2024 · 8 mos · Bengaluru, Karnataka, India

Building and Managing CI/CD automation Pipelines using Jenkins and Helm Charts for seamless Kubernetes deployments on AWS EKS, ensuring efficient cluster management and application delivery.
Worked on Ansible automation for provisioning Elasticsearch node using ansible playbooks and roles.
Developed a Jenkins automation pipeline to capture heap dumps and jstack dumps of running pods for memory utilization analysis and troubleshooting.
Created the Helm charts to automate the deployment of Redis and Prometheus using Kubernetes manifests, ensuring scalability and efficient resource management within the cluster.
Worked on AWS CloudFront for enhanced application security by configuring secure HTTPS connections, setting up Web Application Firewall (WAF) rules for traffic filtering, enabling DDoS protection through AWS Shield, and AWS ElastiCache Redis for RDS database caching.
Implemented resource optimization strategies on AWS using CloudKeeper, resulting in a 30% reduction in cloud infrastructure costs
Worked on developing a Database Role Based Control System to manage access to our databases,FastAPI for backend implementation and ReactJs for interactive UI.
Configured monitoring and visualization of system metrics, database performance, and API health using Prometheus for metrics collection, Thanos for scalable, long-term metrics storage in S3, and Grafana for visualization.
Monitoring production servers for system resource usage by AWS CloudWatch monitoring. Implementing Sensu checks, plugins, with real-time notifications sent to Slack channels for proactive incident management.
Setting up cron jobs automation for older system logs clean up

JenkinsHelmAWS EKSAnsiblePrometheusAWS CloudFront+4

Emendo

DevOps Engineer

Nov 2023 – Mar 2024 · 4 mos · Bengaluru, Karnataka, India

Worked on developing an end-to-end CI/CD pipeline for a CDK Application built with Node.js and Typescript, using GitHub Actions for building, testing, and deploying to multiple AWS environments.
Automated the common tasks like test reports generation for unit testing , postman api test automation reports and sending them to the Slack channel as slack notifications with github actions.
Implemented OpenID Connect (OIDC) as an identity provider with GitHub Actions for secure deployments on AWS environments .
Built and deployed the Grafana and Prometheous stack using AWS CDK with python and cloudformation.
Setting up Grafana workspace for monitoring and observability and utilized , Prometheous, CloudWatch, and X-Ray to monitor API performance and database operations.
Collaborated with team members using version control systems such as Git to organize modifications and assign tasks.

GitHub ActionsAWS CDKNode.jsTypescriptGrafanaPrometheus+2

Fintricity

DevOps Engineer

Aug 2023 – Nov 2023 · 3 mos · Remote · Remote

Implemented an end-to-end CI/CD pipeline using Jenkins for building, testing, and deploying to Kubernetes on AWS EKS, leveraging ArgoCD for GitOps.
Deployed the Backstage Internal Developer Platform (IDP) on AWS EKS using GitHub Actions, Terraform, Kubernetes, and Bash scripting.
Developed Lambda functions in Python to automate X-Ray tracing and tag management across AWS resources within a specific account.

JenkinsKubernetesAWS EKSTerraformBashCI/CD Pipelines+1