DevOps Engineer

Led the automation and expansion of infrastructure, focusing on creating a state-of-the-art payment orchestration platform on Google Cloud (GCP) and Google Kubernetes Engine (GKE);

Implemented multiple Proof of Concepts (PoCs) to validate innovative infrastructure solutions;

Utilized Helm and a variety of tools to build a scalable, cloud-native platform, emphasizing GitOps and streamlined deployment processes;

Developed and maintained infrastructure as code (IaC) using Terraform to ensure consistency and repeatability in deployments;

Orchestrated CI/CD pipelines with GitHub Actions, enabling efficient and automated deployments;

Integrated Config Connector and other GCP tools to manage and automate resource configurations within the cloud environment;

Employed Temporal for workflow orchestration, enhancing the reliability and resilience of the platform;

Focused on ease of deployments and operational efficiency, ensuring that GitOps principles were central to the infrastructure design.

Led the migration of on-premise workloads to Google Cloud Platform (GCP), enabling the company to expand into new markets and reduce infrastructure costs;

Modernized the application stack to leverage cloud-native solutions, optimizing performance and scalability;

Utilized GCP tools and services to transform legacy systems into more efficient and scalable cloud-based applications;

Implemented Infrastructure as Code (IaC) using Terraform to automate and manage cloud resources consistently;

Worked with PHP, MySQL, and Redis to refactor and optimize existing applications for the cloud environment;

Ensured seamless migration with minimal downtime, while improving the overall architecture to support future growth and operational efficiency.

Spearheaded the full automation of the existing Google Cloud Platform (GCP) environment using Infrastructure as Code (IaC) for serverless deployments, focusing on Cloud Run and Cloud Functions;

Designed and deployed load balancers with API Gateway to handle high traffic, incorporating Cloud Armor for enhanced security and performance;

Implemented CI/CD pipelines using Cloud Build, ensuring efficient and reliable application deployments;

Utilized Terraform for provisioning and managing cloud infrastructure, ensuring consistent and scalable environments;

Transitioned into an infrastructure support role post go-live, providing ongoing assistance and maintenance across the customer’s multi-stage environment;

Applied GitOps principles to streamline infrastructure operations, enhancing the efficiency and reliability of deployment processes.

Designed and implemented a data ingestion framework to collect, store, curate, clean, and pass data from over 100 systems;

Collaborated within a Scrum team to develop, test, and deploy the data platform framework, ensuring high-quality and reliable data processing;

Utilized AWS services, including S3, EC2, Code Commit, Code Pipeline, CDK, SQS, SNS, and Lambda, to build and manage the data platform;

Developed and tested data processing pipelines using Python to ensure efficient data handling and integration;

Employed Postman for API testing and validation, ensuring the integrity and accuracy of data ingestion processes;

Contributed to continuous improvement of the data platform by identifying and resolving issues, optimizing performance, and enhancing scalability.

Assisted clients with cost optimization across multiple engagements, focusing on reducing monthly cloud spend ranging from $10k to $120k;

Utilized various cost-saving techniques to achieve up to 40% reduction in cloud expenses for clients;

Conducted detailed analysis of cloud usage and identified opportunities for cost efficiency;

Provided strategic recommendations to optimize cloud resource allocation and reduce unnecessary expenses;

Collaborated with client teams to implement cost optimization strategies and track progress;

Ensured continuous monitoring and adjustment of cloud resources to maintain cost efficiency;

Supported clients in understanding and navigating cloud pricing models to maximize cost savings.