Ankit Dwivedi

About Me

I’m Ankit Dwivedi, a DevOps / Platform Engineer with 3+ years of hands-on experience working on enterprise-grade infrastructure and cloud-native platforms. I specialize in designing, automating, and operating scalable Kubernetes and OpenShift environments, with a strong focus on reliability, security, and zero-downtime deployments.

My day-to-day work involves Kubernetes cluster operations, OpenShift upgrades, and CI/CD pipeline design using GitLab, Tekton, and ArgoCD. I actively work with Infrastructure as Code using Terraform and Ansible, and have hands-on experience handling DR drills, SSL/TLS troubleshooting, container security with NeuVector, and observability using Prometheus, Grafana, and Splunk.

I strongly believe in keeping systems simple, automated, and production-ready. My goal is to build resilient platforms that enable teams to deploy faster, operate securely, and scale confidently across hybrid cloud and on-prem environments.

Experience : 3.10+ Years

Role : DevOps / Platform Engineer

Systems : Production Kubernetes Platforms

Location : India

Responsibility : Platform Reliability & Operations

Environment : Hybrid (Cloud & On-Prem)

Engineering Focus : Stability, Automation, Security

Resume

My Skills

Skills are the foundation of our success.

I work extensively with cloud-native and DevOps platforms, focusing on designing, building, operating, and maintaining reliable production-grade systems. My experience includes managing Kubernetes and OpenShift clusters, handling upgrades, deployments, and day-to-day operations, and implementing scalable CI/CD and release automation pipelines.

I actively use Infrastructure as Code and configuration management to provision and manage infrastructure across on-prem and hybrid cloud environments. I work closely with container security, networking, service mesh, and observability stacks to ensure platform stability, performance, and compliance. Additionally, I leverage Python-based automation and Git-based workflows to improve operational efficiency, troubleshooting, and collaboration across teams.

3.10+

Years
Experience

Kubernetes

Terraform

Docker

Ansible

OpenShift

GitLab

CI/CD Pipelines

Cloud Computing

Python

Istio

Neuvector

Areas of Expertise

Configuration Management

Implement robust configuration management using Ansible and Terraform. Automate infrastructure provisioning to minimize manual errors, leading to a 25% increase in setup efficiency. This approach ensures consistent configurations across environments, improving system reliability and reducing downtime.

Continuous Integration and Deployment (CI/CD)

Optimize your software development lifecycle with CI/CD pipelines using GitLab, Jenkins, Fleet and Tekton. By automating build, test, and deployment processes, I achieved a 40% reduction in deployment time, allowing for faster software delivery and quicker feedback loops.

Infrastructure Automation

Automate infrastructure management with Terraform and Ansible to enhance scalability and flexibility. This resulted in a 30% reduction in setup time, enabling faster resource provisioning and improved operational efficiency across cloud platforms and on-premises environments.

Containerization and Orchestration

Streamline application deployment with Docker and Kubernetes, ensuring consistent containerization and reproducible deployments across multiple environments. This approach improved deployment stability by 25%, reducing risks associated with manual deployments.

Service Mesh and Microservices

Enhance communication between microservices using Istio service mesh, improving observability and traffic control. This implementation led to a 35% increase in microservices communication efficiency, allowing for more secure and reliable interactions.

Cloud-Native Practices

Embrace cloud-native practices to achieve scalability and flexibility. My implementation on public clouds like Azure and Google Cloud resulted in a 20% cost reduction due to optimized resource utilization, while maintaining seamless integration with existing systems.

Security and Compliance

Implement advanced security measures with NeuVector and HashiCorp Vault. By enhancing security for Kubernetes deployments and protecting sensitive data, I reduced security incidents by 50%, ensuring a secure and compliant infrastructure environment.

DevOps Practice and Software Development Lifecycle

Embrace the future of software development with a comprehensive DevOps practice designed to streamline the Software Development Lifecycle (SDLC). My approach incorporates industry-standard methodologies to optimize efficiency, from initial planning to deployment and beyond.

Automation

Maximize efficiency and reduce manual effort with advanced automation techniques. Using tools like Ansible, Terraform, and Jenkins, I automate repetitive tasks such as infrastructure provisioning, code deployment, and configuration management. This automation has resulted in a 40% reduction in manual errors and a 30% decrease in operational costs, allowing teams to focus on strategic initiatives and innovation.