Summary
Overview
Work History
Education
Skills
Timeline
Generic

Anup Dubey

Noida,Uttar Pradesh

Summary

DevOps Engineer with 9+ years of experience in automating CI/CD pipelines, infrastructure provisioning, and configuration management using Terraform, Ansible, Helm, AWS Lambda, and Python. Proficient in GitHub, Bitbucket, and GitLab for advanced code management. Led cloud migrations to AWS and GCP, achieving cost savings and scalability improvements. Implemented monitoring with Prometheus, ELK, and Loki stack. Skilled in leveraging cloud technologies and containerization(k8s/Kubernetes), Argocd, Istio for scalable, reliable solutions. Strong collaboration and problem-solving skills, dedicated to continuous improvement and innovation.

Overview

10
10
years of professional experience
2
2
Languages

Work History

DevOps Manager

12.2021 - Current

Data Engineer

Gojek
Bengaluru, Karnataka
04.2021 - 09.2021

Lead DevOps Engineer

07.2018 - 04.2021

Cloud Engineer

Broctagon Fintech Group
05.2017 - 03.2018

System Engineer

Yamaha Motor Solutions
Faridabad
09.2014 - 05.2017
  • Trainings & Certifications
  • Certified Kubernetes Administrator (CKA) (Udemy)
  • Kubernetes Certified Application Developer (CKAD) (Udemy)
  • Infrastructure Automation with Terraform (Udemy)
  • Istio Service Mesh (KodeKloud)
  • Project-1
  • Paytm, India (Payment Gateway 2.0)
  • Overview:
  • Paytm Payment Gateway 2.0 is an advanced version of Paytm’s existing payment gateway services, designed to handle a larger volume of transactions, provide better security, and offer a seamless experience to both merchants and customers
  • Technologies: AWS cloud, Kuberentes ,ISTIO service mesh, API Gateway, Kafka, Prometheus, Alertmanager, grafana
  • Elasticsearch, loki, filebeat, vault, Argocd, Argo-Rollout, jenkins, redis, Jenkins, Tempo
  • Engage with the development team in a collaborative manner to ensure that the software development process is smooth and efficient
  • Provide DevOps support to the development team and ensure that the software development workflow infrastructure is reliable and scalable
  • Migrated services from AMD to Graviton, resulting in significant cost savings amounting to thousands of dollars
  • Implemented centralized logging and tracing with Loki, Grafana, Tempo, and Promtail for Istio logs
  • Implemented GitOps practices using ArgoCD, enabling automated application deployment and Canary strategy using
  • Argo Rollout to orchestrate progressive updates across all applications
  • Executed successful migrations of several applications to the AWS cloud, adhering to best practices, and optimizing performance in the cloud environment
  • Wrote numerous Python and Shell scripts, automating daily tasks and enhancing operational efficiency
  • Proficient in infrastructure-as-code (IaC) and configuration management practices using tools such as Terraform
  • Ansible, Boto3, and AWS CLI, ensuring consistent and reproducible infrastructure deployments
  • Experienced in setting up AWS API Gateway solutions to manage authorization and authentication, ensuring secure access control and identity management in microservices architectures
  • Experienced in managing EKS clusters, performing Istio upgrades, and patching server vulnerabilities in production environments
  • Managed Apache Kafka clusters, facilitating real-time data streaming and integration across systems, while optimizing performance and ensuring data security
  • Deployed 100 microservices in Kubernetes(k8s) with Istio service mesh, implemented traffic-based and progressive rollout strategies for controlled deployment with GitOps practices and Helm charts
  • Led disaster recovery planning and implementation, including backup and restoration, to ensure business continuity
  • Utilized KEDA to implement event-driven autoscaling for Kubernetes workloads, optimizing resource usage and improving application performance
  • Deployed and configured Prometheus for comprehensive monitoring of system and application metrics, ensuring real-time visibility into performance and health
  • Applied Kubernetes security best practices such as RBAC (Role-Based Access Control), network policies, and pod security policies to enhance cluster security and prevent unauthorized access
  • Utilized Trivy for comprehensive Docker image scanning to identify and mitigate vulnerabilities, ensuring secure container deployments
  • Project-2
  • Gojek, Kafka Data Warehousing
  • Overview:
  • Kafka data warehousing involves using Apache Kafka as a central platform for real-time data streaming and storage
  • It allows for efficient data ingestion, processing, and distribution across various systems
  • Technologies: Google cloud, Google kubernetes Engine (GKE), Kafka, Prometheus, Alertmanager, grafana, Elasticsearch, filebeat, vault, Gitlab CICD
  • Utilize Terraform to automate the provisioning of infrastructure on Google Cloud Platform (GCP)
  • Written terraform modules to create GKE using Gitlab CICD pipeline runner
  • Employ Chef to automate the configuration
  • Chef used to install and configure Kafka and Kafka MirrorMaker.
  • Implement Kafka MirrorMaker to create Kafka mirrors
  • This involves configuring the replication of data between Kafka clusters, ensuring high availability and fault tolerance for the data streaming and processing setup
  • Use Filebeat to collect logs from the Kafka servers,logs are then shipped to an Elasticsearch cluster using logstash.

Education

Bachelor of Technology - Computer Science

Uttar Pradesh Technical University
June 2013

Skills

  • Skills & Abilities
  • Team management and performance optimization
  • Mentored and trained junior team members on DevOps practices and tools
  • Operating Systems: Linux ( Centos and Ubuntu )
  • Monitoring:
  • Cloudwatch, Prometheus, Grafana and Alertmanager
  • Logging: ELK(Elasticsearch), EFK and Loki Stack
  • Scripting Languages: Shell Scripting, Python
  • Other Tools- nginx, Jira, Kafka, Vault ,Fluentd, Grafana, DNS, Logstash, Filebeat, Kibana, boto3 and Git
  • Cloud : AWS (EC2,EKS,S3,Lambda,IAM,ELB,VPC,AMI,Route53,Autoscaling,WAF,SNS) and Google Cloud(GCP)
  • Container Orchestration: Kubernetes(k8s), Docker, Helm
  • Continuous Integration/Deployment: Gitlab-CI, ArgoCD, Argo Rollouts, Spinnaker and Jenkins
  • Infrastructure and Configuration Management(IAC): Terraform, Ansible, and Packer
  • Version Control Tool & Build software: GIT, GITLab, Maven, PIP, GitLab CI
  • Databases: Mysql, PostgreSQL, Redis
  • Service Mesh: Istio
  • Sponsorship is Required elsewhere than in India

Timeline

DevOps Manager

12.2021 - Current

Data Engineer

Gojek
04.2021 - 09.2021

Lead DevOps Engineer

07.2018 - 04.2021

Cloud Engineer

Broctagon Fintech Group
05.2017 - 03.2018

System Engineer

Yamaha Motor Solutions
09.2014 - 05.2017

Bachelor of Technology - Computer Science

Uttar Pradesh Technical University

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Anup Dubey