DevOps/SRE/Cloud Engineer

Dipak Singh

Phone: 510-***-**** Visa: Green Card-EAD

Email: *********@*****.*** Location: Fremont, CA 75098

Cloud Engineer DevOps Engineer SRE Infrastrucutre Engineer

SUMMARY PROFESSIONAL:

As a DevOps Engineer with 7 years of experience, I specialize in cloud infrastructure automation and management across various platforms. I have a proven track record in designing and implementing robust CI/CD pipelines, enhancing application deployment processes, and ensuring high availability and security in cloud environments. My expertise in Infrastructure as Code (IAC) and strong monitoring and performance optimization skills enable me to drive efficiently and reliability. Additionally, I excel in managing multi-cloud strategies, executing migration projects, and automating configuration management to foster collaboration within agile teams.

CERTIFICATIONS:

AWS Certified Solutions Architect

Google Cloud Platform (GCP) Certified Professional Cloud Architect

Hashi Corp Terraform Associate

Microsoft Azure DevOps Solutions Certified (AZ-400)

Completed Designing Microsoft Azure Infrastructure Solutions (AZ-305)

EDUCATION:

Bachelor of Science Magadh University - Major: Computer Applications and Mathematics, 2005.

Bachelor of Technology Vinayaka Mission Research Foundation - Major: Electronics and Communication Engineering, 2010.

Master Lincoln University - Major: Information Systems. 2018

TECHNICAL SKILLS:

Cloud: AWS, GCP, Azure

IAC: Terraform, CloudFormation

CI/CD and Configuration Management: Git, GHA, Azure DevOps, Jenkins, Chef, Ansible, Puppet

Web/App Servers: Apache Tomcat, WebSphere, JBoss

Databases: Oracle, SQL, MySQL, DB2, Redis

Containers: Docker, Kubernetes, Helm

Scripting: Python, Bash Shell, PowerShell, Java, Go-Lang

Monitoring: Datadog, Prometheus, Grafana, Nagios, Splunk

Project Management: JIRA, Confluence

EXPERIENCE:

CLOUD/DEVOPS ENGINEER, SAN JOSE, CA

THE KEY SEP 2023 – PRESENT

RESPONSIBILITIES:

Led cross-cloud migration projects from AWS to GCP, coordinating technical planning, execution, and handover among distributed teams, reducing cloud spend and cost.

Migrated multi-tier applications and infrastructure from AWS to Google Cloud Platform (GCP), ensuring seamless transitions using Terraform and Deployment Manager.

Managed and monitored GCP infrastructure, configuring DNS for routing and Designed fault-tolerant Kubernetes infrastructure on GCP.

Deployed and managed Kubernetes clusters on GCP and Data Centers. Implemented KEDA for auto-scaling Kubernetes workloads on GCP.

Used Terraform and Packer to automate infrastructure deployment. Streamlined infrastructure management using Terraform, Docker, and Ansible for the CI/CD speedup, as well used python script to automate the process.

Architected and maintained production-ready Kubernetes clusters (GKE and EKS), implementing service mesh and fine-grained RBAC using Helm and workload identity

Developed fully automated CI/CD pipelines in GitLab integrating Docker, Kubernetes (GKE), and SonarQube for robust code quality and streamlined delivery.

Designed and provisioned GCP architecture including VPCs, Compute Engine, Cloud Storage, Cloud SQL, Cloud NAT, and IAM policies.

Configured Google Cloud Load Balancing, DNS with Cloud DNS, and enabled Cloud Armor for security and global access.

Implemented GKE-based microservices architecture with optimized Helm charts and workload identity for fine-grained access.

Set up CI/CD pipelines via Cloud Build and GitHub Actions for test, build, deploy automation across GCP and AWS projects.

Implemented monitoring using Datadog, ELK, and Prometheus for real-time logging, tracing, and alerting.

Built repeatable GCP infrastructure using Terraform modules, ensuring secure and scalable environments.

Maintained AWS workloads (EC2, S3, IAM, VPC) during phased migration, and configured hybrid DNS resolution with Route53 and Cloud DNS.

Automated system management tasks using Python and Bash scripts, streamlining deployment, monitoring, and issue resolution processes to drive operational efficiency across GCP-hosted environments.

Conducted performance tuning and cost optimization in both GCP and AWS cloud platforms.

Managed containerized workloads across GKE and EKS, deployed supporting services like Redis, Nginx, and MongoDB.

Created custom Ansible playbooks to automate deployment and updates in GCP and AWS environments.

DEVOPS ENGINEER, EDISON, NJ

BANK OF AMERICA OCT 2022 – SEP 2023

RESPONSIBILITIES:

Designed and implemented AWS CodePipeline CI/CD architecture using Code Commit, Code Build, and GitHub for serverless deployments.

Deployed backend services via CloudFormation templates into Lambda and API Gateway with multi-environment support.

Created and maintained frontend apps on S3, integrated with CloudFront and IAM for secure content delivery.

Developed Terraform modules for EC2, RDS, VPC, S3, and integrated versioning and lifecycle policies for data management.

Built infrastructure automation using Terraform, reducing manual provisioning and streamlining team adoption.

Built CloudFormation and Terraform templates using Python scripting for cloud infrastructure.

Managed AWS environments including EC2, ELB, CloudFront, DynamoDB, RDS, Lambda, Route 53, and ACM.

Implemented centralized logging via CloudWatch and created dashboards for DevOps insights.

Created cost-effective EC2 instances and configured backup and snapshots for production and development environments.

Led build and release lifecycle, maintaining CI/CD workflows across environments using AWS-native and third-party tools.

Used Helm charts to deploy and manage microservices within EKS environments for streamlined operations and rollback support

Provided 24/7 on-call support, managing production-critical systems and resolving escalated issues using PagerDuty.

Documented processes in Confluence and collaborated cross-functionally to enforce security and compliance.

CLOUD / DEVOPS ENGINEER, SAN JOSE, CA

CISCO JAN 2021 – OCT 2022

RESPONSIBILITIES:

Developed cloud infrastructure in AWS using Terraform to provision scalable, secure environments across EC2, S3, VPC, and KMS.

Created reusable Terraform modules for RDS, EC2, ELB, and IAM, improving consistency and reducing manual configurations.

Implemented microservices deployment pipelines via GitLab CI/CD, handling builds for QA, UAT, and production stages.

Configured monitoring and incident response integrations via Datadog and CloudWatch Logs, metric filters, Slack/PagerDuty, and Datadog for real-time observability

Set up alarms and performance metrics using Datadog and CloudWatch, implemented security best practices for IAM and data encryption.

Deployed containerized applications on EKS and managed orchestration with Kubernetes and Helm.

Implemented Azure Storage, Azure SQL Azure Services and developing Azure Web role.

Experience administering and deploying development CI/CD tools such as Jenkins, Azure DevOps (TFS), Terraform, and Source Control such as GIT/TFS.

Managed Azure Infrastructure Azure Web Roles, Worker Roles, VM Role, Azure SQL, Azure Storage, Azure AD Licenses, Virtual Machine Backup and Recover from a Recovery Services Vault using Azure PowerShell and Azure Portal.

Collaborated on Azure infrastructure by deploying VMs, securing virtual networks, and applying role-based access control (RBAC).

Managed CI/CD Process, using Terraform, python for the automation and infrastructure provisioning, enabling teams to deploy code in Azure Kubernetes Services (AKS).

Managed Kubernetes environments, deploying Azure Kubernetes services (AKS) clusters and configuring them through python and PowerShell scripts.

Maintained Helm charts for various Kubernetes-based deployments, and applied Terraform for IaC across AWS, Azure, and GCP environments

Set up monitoring and logging for Kubernetes clusters using tools CloudWatch and Datadog, with Python scripts to customize and automate these processes.

Migrated some services to Azure App Services for hybrid cloud strategy and assessed compatibility for future transitions.

Gained hands-on experience with cloud migration platforms like AWS to GCP and Azure to GCP.

As well did POC to set- up HPA using KEDA and implanted GCP Composer service to be managed workflow, data pipelines and secure way to automate task.

Configured GCP services like Compute Engine, Load Balancing, and Cloud Storage. Set up GCP Firewall rules and Cloud CDN for better security and performance. Monitored infrastructure with Datadog, Prometheus, and Grafana.

Used Black Duck and WhiteSource for security, vulnerability scanning, and license compliance in CI/CD pipelines.

Integrated Black Duck scanning into Jenkins pipelines to detect open-source security risks.

Automated routine updates and provisioning scripts using Bash and Python.

DevOps Engineer, San Francisco, CA

StubHub Mar 2018 to JAN 2021

RESPONSIBILITIES:

Established a robust CI/CD pipeline by integrating AWS, Jenkins, Git, and Docker, automating deployment processes to enhance team productivity and efficiency.

Leveraged expertise in Kubernetes deployment and management to enable efficient scaling and orchestration of Docker containers across multiple environments.

Implemented various AWS solutions, including EC2, EMR, Sagemaker, S3, RDS, EBS, and Elastic Load Balancer, optimizing infrastructure for scalability and performance.

Deployed Kubernetes applications in Amazon EKS, ensuring efficient container orchestration and management within cloud environments.

Implemented monitoring and alerting for production servers and storage using AWS CloudWatch, Datadog, Prometheus, and Grafana, maintaining high levels of system reliability and performance Facilitated physical-to-cloud migration to AWS.

Configured GCP services like Compute Engine, Load Balancing, and Cloud Storage. Set up GCP Firewall rules and Cloud CDN for better security and performance.

Designed and built infrastructure in the Google Cloud (GCP) environment, utilizing services such as GCE, VPC, Load Balancers, IAM, and Cloud Storage.

Utilized Terraform for Infrastructure as Code to provision and manage development and production environments, enhancing automation capabilities.

Developed Python and Bash scripts to automate tasks such as user account creation and system updates, significantly improving operational efficiency.

Orchestrated deployment, scaling, and management of Docker containers using Kubernetes, leveraging Helm charts for efficient application management.

Automated deployment processes with Ansible, creating playbooks for continuous deployment and configuration management.

Developed scripts in Python for deploying Java-based packages on Apache Tomcat, JBoss and Kubernetes clusters, enhancing deployment speed and consistency.

Contact this candidate