Summary
Overview
Work History
Education
Skills
Work Authorization
Core Skills
Timeline
Generic

Madhu Praveen Peesapati

Cloud DevOps Engineer
Downingtown,PA

Summary

Cloud and DevOps Engineer with 5+ years of experience designing secure, scalable, and automated infrastructure across AWS, Azure, and GCP environments. Proven track record in creating resilient systems, optimizing CI/CD pipelines, and spearheading infrastructure modernization for enterprise-level platforms. Proficient in Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Ansible, as well as automation pipelines with Jenkins, GitLab, GitHub Actions, and Bamboo. Skilled in deploying containerized applications via Docker and orchestrating them with Kubernetes (EKS), ECS, and Helm. Expertise in monitoring and observability tools like Prometheus, Grafana, Splunk, CloudWatch, Azure Monitor, and Datadog to ensure system uptime, performance efficiency, and operational transparency. Strong scripting abilities with Python, Bash, and PowerShell for automating infrastructure tasks and deployment workflows. Experienced in developing full-stack applications with back-end services in Python (Flask), Node.js, PostgreSQL, and front-end technologies like JavaScript and React. Recognized for enhancing system availability through robust security measures like IAM policies, AWS Config rules, GuardDuty alerts, and KMS encryption keys while collaborating effectively with cross-functional teams to align infrastructure initiatives with business objectives. Critical thinking DevOps Engineer with extensive understanding of high availability architecture and concepts. Purpose-driven professional with capacity to be strong team player plus work effectively independently.

Overview

7
7
years of professional experience

Work History

Cloud DevOps Engineer/ AWS

Vanguard
Malvern, PA
01.2025 - Current
  • Designed and implemented a cyber-resilient backup architecture for mission-critical fund valuation UIs using AWS Lambda, Step Functions, and Aurora Serverless, ensuring uninterrupted business operations during cyber emergencies and regional service failures.
  • Developed daily scheduled Lambda functions in Python to retrieve, process, and validate valuation data stored in DynamoDB, forming the foundation of automated recovery and audit systems.
  • Reengineered existing UI logic using Flask and Pandas, migrating complex financial calculations and data mappings originally implemented in JavaScript/Python to support high-fidelity data replication and fallback.
  • Built secure and scalable RESTful APIs with robust error handling, dynamic routing, and endpoint validation, enabling real-time health monitoring and UI failover in production environments.
  • Delivered end-to-end full-stack features using Node.js (backend), React.js (frontend), and PostgreSQL (database), emphasizing responsive design, operational scalability, and smooth user interaction.
  • Consumed and exposed both GraphQL and REST APIs, ensuring seamless data integration and decoupling of UI and backend services.
  • Integrated with AWS CloudWatch, X-Ray, and CloudTrail to establish full-stack observability, operational tracing, and audit-level logging across backup and failover systems.
  • Implemented retry and failover logic using AWS Step Functions, ensuring automated response to transient errors and system instability across workflows.
  • Implemented serverless architecture with AWS API Gateway, Lambda, and DynamoDB, deploying Lambda functions directly from Amazon S3 buckets to automate processes and improve scalability in cloud-native applications.
  • Built data validation pipelines to guarantee integrity and consistency of daily financial logs, supporting downstream audit and compliance teams.
  • Enforced strong secrets and configuration management using AWS Secrets Manager, SSM Parameter Store, and KMS encryption, securing all environment variables, keys, and credentials.
  • Employed GitHub Copilot, Amazon Comprehend, and internal ML-driven tools to accelerate API scaffolding, identify anomalies in valuation data, and enhance automation reliability.
  • Integrated ML-driven alerts and anomaly detection into monitoring workflows using CloudWatch Metrics combined with custom Lambda evaluators for proactive system health insights.
  • Utilized AWS Step Functions to orchestrate multi-stage ML workflows involving data preprocessing, model training, and batch inference, ensuring reproducibility and fault tolerance.
  • Built and maintained CI/CD pipelines using Git Hub and Git Hub Actions Pipelines, automating unit tests, packaging, and deployment for Python/Flask and Lambda services.
  • Developed and maintained CI/CD pipelines using Git Hub and Git Hub actions Pipelines, enabling secure, auditable deployments of Lambda, Flask, and Node.js services.
  • Utilized Terraform and AWS CloudFormation to define and provision cloud infrastructure as code (IaC), ensuring repeatability, version control, and infrastructure consistency across environments.
  • Build Docker for containerization and Kubernetes (EKS) for orchestrating non-serverless components when performing on-prem-to-cloud backup transitions and sandbox validations.
  • Ensured 99.99% uptime of Node.js backend services through proactive monitoring, container health checks, and automated rollback strategies.
  • Actively participated in cross-functional collaboration with finance analysts, UI/UX teams, compliance officers, and platform architects to ensure valuation accuracy, parity, and legal alignment under disaster simulation drills.
  • Led infrastructure automation initiatives using tools such as Terraform and Ansible to streamline deployment processes and reduce manual configurations.
  • Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
  • Proved successful working within tight deadlines and a fast-paced environment.
  • Documented software development methodologies in technical manuals to be used by IT personnel in future projects.

Cloud DevOps Engineer / AWS

Vanguard
Charlotte, NC
11.2023 - 12.2024
  • Designed and deployed AWS CloudFormation stacks to provision core cloud infrastructure components including VPC, EC2, S3, RDS, DynamoDB, IAM, EBS, Route 53, SNS, SES, SQS, CloudWatch, Auto Scaling, and security groups, enabling consistent and secure environment provisioning.
  • Developed and maintained AWS Lambda functions in Python using Boto3 to automate cloud resource management tasks and reduce operational overhead.
  • Utilized AWS Step Functions to coordinate complex serverless workflows, improving process automation across multiple AWS services.
  • Managed storage operations across AWS S3, EBS, EFS, and FSx, ensuring high availability, encryption, and lifecycle management in line with enterprise data policies.
  • Engineered data transfer pipelines using AWS Transfer Family, Storage Gateway, SFTP, and Data Sync to enable seamless and secure file transfers between on-premises and cloud environments for the Core Platform team.
  • Implemented API Gateway to manage and secure APIs with features such as OAuth 2.0, API keys, JWT tokens, and TLS encryption for robust access control.
  • Built and deployed Python-based ML inference scripts using AWS Lambda to serve real-time predictions through RESTful APIs, reducing latency and enabling event-driven AI services.
  • Integrated AWS Sage Maker pipelines to automate the training and deployment of machine learning models, enabling scalable AI workflows within the existing cloud infrastructure.
  • Monitored infrastructure performance and application metrics using Amazon CloudWatch, enabling proactive issue resolution and improved reliability.
  • Collaborated with cross-functional teams including platform, data engineering, and security to align cloud solutions with evolving business and compliance requirements.
  • Streamlined CI/CD processes using Bitbucket and Bamboo for efficient code integration, testing, and deployment workflows aligned with cloud architecture standards.
  • Supported MLOps practices by containerizing ML models with Docker and automating model deployment and monitoring through CI/CD pipelines using Bitbucket and Bamboo.
  • Integrated Prometheus with Grafana to create real-time dashboards for monitoring infrastructure and application performance metrics.
  • Installed and maintained Artifactory to manage Maven artifacts, improving Java-based application delivery pipelines.
  • Built and managed a Splunk VMware application to coordinate scheduled API data collection, improving visibility and control over logging workflows.
  • Integrated SonarQube with Jenkins via Maven to automate code quality checks and enforce compliance before deployment.
  • Proficiently managed virtual machines, networks, and cloud storage using Google Cloud Platform (GCP) services such as Compute Engine, VPC, Cloud Storage, Cloud Functions, and Cloud Run.
  • Utilized Dynatrace Application Performance Management (APM) to track application health, response times, and transaction flows for production systems.
  • Maintained quality control environments and repositories using SonarQube and Artifactory, supporting continuous delivery and secure artifact management.
  • Implemented infrastructure as code practices using Terraform, enhancing the consistency and reliability of cloud resource management.
  • Mitigated security risks by conducting regular vulnerability assessments and applying necessary patches.

DevOps Engineer

Andhus technologies
Itasca, Illinois
01.2023 - 09.2023
  • Implemented scalable event-driven architectures utilizing Azure API Management, Azure Functions, and Azure Cosmos DB to support automated, event-driven workflows. These solutions significantly improved scalability, reduced infrastructure overhead, and enabled secure, seamless deployments across multiple environments.
  • Build automation initiatives using Terraform and Kubernetes to streamline infrastructure provisioning and container orchestration. Effectively managed Docker container clusters hosted on AWS, Google Cloud Platform (GCP), and OpenStack, thereby ensuring consistent deployments and operational flexibility.
  • Managed large-scale Kubernetes clusters to orchestrate containerized workloads, improving CI/CD agility, reducing operational downtime, and supporting a microservices-driven application delivery model.
  • Built, optimized, and maintained enterprise-grade CI/CD pipelines through tools such as Jenkins, Azure DevOps, GitLab-CI, and GitHub Actions. Integrated automated code quality checks using Maven and Selenium, achieving continuous delivery objectives with high-quality standards.
  • Implemented configuration management across cloud and on-premises environments using Chef, Puppet, and Ansible. Created modular cookbooks, detailed manifests, and dynamic playbooks for environment provisioning, system configuration, and application deployment.
  • Developed and maintained custom scripts using Python and Bash to automate system administration tasks and CI/CD processes, effectively minimizing manual efforts and reducing human errors.
  • Contributed to the architecture and development of the Sales ICP product suite, ensuring backend resilience and frontend responsiveness in high-demand user scenarios.
  • Configured and administered end-to-end application and infrastructure monitoring using Prometheus, Grafana, AppDynamics, and Splunk. Established intelligent alerting systems and monitoring dashboards that enabled proactive issue detection and improved overall system reliability.
  • Oversaw the administration and optimization of Git/GitHub repositories, enforcing version control best practices. Designed branching strategies and implemented plugins to streamline development workflows and improve codebase integrity.
  • Worked closely with quality assurance teams to develop robust automated testing workflows. Integrated JIRA for real-time issue tracking and Jenkins for seamless continuous testing, increasing release velocity and reducing defect leakage.
  • Automated system configuration management using Ansible, enhancing infrastructure reliability and enabling rapid provisioning of environments for development and testing purposes.

DevOps Engineer/ Azure

C-Net Infotech Pvt. Ltd.
06.2019 - 09.2021
  • Followed agile principles and used JIRA for task management, maintenance, and bug development, ensuring efficient collaboration within cross-functional teams and aligning with product vision to deliver high-performance applications.
  • Implemented DevOps migration and automation processes for build and deployment systems, utilizing modern CI/CD tools such as Azure DevOps, Jenkins, GitLab-CI, and GitHub Actions to streamline development and ensure seamless integration and delivery of applications.
  • Automated complex cluster deployments on IBM WebSphere, leveraging infrastructure automation practices for efficient scaling, provisioning, and management of critical applications and services in a cloud environment.
  • Configured network and server monitoring using Grafana, Prometheus, ELK Stack, and Nagios for real-time monitoring, ensuring system performance and delivering actionable insights to support AI and analytics-driven decision-making processes.
  • Used Chef for infrastructure automation to provision and manage resources for the Multi-Site Hosting Project, focusing on scalability, high availability, and fault tolerance for mission-critical environments.
  • Developed and maintained build tools (Make, Maven, Ant) for application layer modules, ensuring streamlined code compilation, testing, and deployment across diverse tech stacks.
  • Automated account de-provisioning using Windows PowerShell, simplifying the employee off-boarding process and minimizing risks associated with orphaned user accounts, enhancing security for cloud-based applications.
  • Managed application deployments from scaffolding AngularJS applications to automating deployment processes using CI/CD pipelines, ensuring fast and consistent delivery of software solutions.
  • Implemented multi-factor authentication (MFA) and user attribute validation using AWS Cognito triggers and Lambda functions, ensuring secure and scalable user authentication for cloud-based services.
  • Configured SSO integration with identity providers like Okta, Azure AD, and Ping Identity, centralizing identity management for applications and ensuring secure access across platforms.
  • Monitored Kubernetes cluster performance using Prometheus and Grafana, creating real-time alerts for nodes, pods, containers, and services to ensure high availability and resilience of cloud-based applications.
  • Deployed cloud services including Jenkins and Nexus on Docker using Terraform, automating the provisioning of build systems and enhancing operational efficiency for large-scale software delivery.
  • Designed and deployed applications using Azure services such as Azure Virtual Machines (VMs), Azure DNS, Azure Blob Storage, Azure SQL Database, Azure Cosmos DB, Azure Service Bus, Azure Queue Storage, and Azure Active Directory (AAD), ensuring high availability, fault tolerance, and auto-scaling by leveraging Azure Resource Manager (ARM) templates for Infrastructure as Code (IaC).
  • Engineered stable and performant GraphQL server architecture for key business-critical applications, including sales ICP tools and internal admin dashboards.
  • Developed infrastructure and services using SonarQube, Black Duck, and Jenkins, ensuring continuous integration, security, and software compliance for cloud-native applications.
  • Built and maintained Docker containers and Kubernetes clusters on GCP, utilizing Kubernetes and Docker for efficient CI/CD workflows, building, testing, and deploying applications at scale.
  • Leveraged Azure App Service and Azure Automation State Configuration (DSC) to define and track system configurations, prevent configuration drift, and ensure compliance across Azure Virtual Machines and hybrid (on-premises) environments.
  • Configured and maintained Git/GitHub for version control, implementing branching and build/release strategies, enhancing collaboration and streamlined software deployment.
  • Utilized monitoring and logging tools like Prometheus, Grafana, AppDynamics, and Splunk to monitor application performance and gain real-time insights into system health and infrastructure metrics.
  • Fostered culture of collaboration and knowledge sharing among development and operations teams, boosting overall project success.

Build and Release Engineer.

Accenture
12.2018 - 09.2019
  • Managed and configured secure remote access and file transfer operations using SSH tools such as PuTTY, SFTP, FTP, SCP, WinSCP, and FileZilla to facilitate cross-platform collaboration and maintain secure communication with internal and client systems.
  • Handled version control operations using SVN, including branching, merging, and conflict resolution, to support parallel development workflows and ensure a consistent, stable source code base across multiple environments.
  • Developed Java-based build artifacts using Apache ANT and Maven, with centralized artifact storage and dependency management through Nexus. Automated the entire build process using Apache Continuum for streamlined deployments.
  • Installed, configured, and maintained Jenkins CI/CD environments, implementing master-slave architecture to balance build loads and accelerate build and deployment cycles across development teams.
  • Automated OS-level installations, patching, and upgrades using Preboot Execution Environment (PXE), Kickstart, DHCP configurations, and Red Hat Satellite Server, reducing manual provisioning time and improving server compliance.
  • Monitored system resource utilization including CPU, memory, disk I/O, and swap space using native Linux utilities and tuned performance parameters to avoid performance bottlenecks and downtime.
  • Administered enterprise security controls by managing Linux user accounts, roles, and file permissions to ensure that system and application access adhered to compliance requirements.
  • Configured and supported Linux environments (Red Hat and CentOS), using YUM and RPM for package management and resolving issues with networking and DNS tools such as netstat and nslookup.
  • Orchestrated the CI/CD pipeline using Jenkins, IBM Build Forge, and Tomcat Application Server, ensuring seamless deployment of Java applications across various test and production environments.
  • Created and maintained cron jobs for recurring system tasks on production servers, automating backups, log rotations, and monitoring scripts to ensure system stability and reduce manual intervention.
  • Collaborated with development teams to streamline code integration processes, reducing build errors by implementing thorough code review practices.
  • Analyzed performance metrics post-deployment to identify bottlenecks, driving improvements that enhanced application performance in production environments.
  • Worked closely with security experts in conducting vulnerability assessments on pre-release builds; remediated any identified security flaws before going live.

Education

Master's - computer information science

New England College
Henniker, NH
05.2023

Bachelor of Technology - Engineering

Vellore Institute of Technology
India
07.2019

Skills

  • Amazon web services (AWS)

  • Microsoft Azure

  • Google Cloud Platform (GCP)

  • Terraform

  • CloudFormation

  • Ansible

  • Packer

  • Chef

  • Puppet

  • Maven

  • Ant

  • Gradle

  • Selenium

  • JUnit

  • NUnit

  • xUnit

  • Jenkins

  • GitLab

  • GitHub Actions

  • Bitbucket Pipelines

  • Bamboo

  • Docker

  • Docker Swarm

  • Kubernetes (EKS)

  • Helm

  • AWS ECS

  • Dynamo DB

  • MySQL

  • RDBMS

  • NoSQL

  • Cassandra

  • PostgreSQL

  • Mongo DB

  • Oracle DB

  • Python

  • Shell Scripting

  • Bash Shell

  • Korn Shell

  • Ruby

  • Groovy

  • PowerShell

  • YAML

  • Perl

Work Authorization

STEM OPT (valid until 11/2026), H1B Approved (I-797B, 2024 – Cap-Exempt Transfer Eligible)

Core Skills

Amazon web services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, Ansible, Packer, Chef, Puppet, Maven, Ant, Gradle, Selenium, JUnit, NUnit, xUnit, Jenkins, GitLab, GitHub Actions, Bitbucket Pipelines, Bamboo, Docker, Docker Swarm, Kubernetes (EKS), Helm, AWS ECS, Dynamo DB, MySQL, RDBMS, NoSQL, Cassandra, PostgreSQL, Mongo DB, Oracle DB, Python, Shell Scripting, Bash Shell, Korn Shell, Ruby, Groovy, PowerShell, YAML, Perl, C, C++, .NET, ASP.NET, Java, Java/J2EE, Go, HTML5, CSS3, Bootstrap, JSON, jQuery, JavaScript, PHP, XML, XSD, Drupal, WordPress, Prometheus, Grafana, Splunk, ELK Stack, Datadog, Git, Bitbucket, SVN, DNS, DHCP, FTP/TFTP, NFS, SMTP, TCP/IP, NIS, HTTP/HTTPS, WAN, LAN, Palo Alto, Cisco Routers/Switches, KMS, AWS Config, IAM, Guard Duty, Secrets Manager

Timeline

Cloud DevOps Engineer/ AWS

Vanguard
01.2025 - Current

Cloud DevOps Engineer / AWS

Vanguard
11.2023 - 12.2024

DevOps Engineer

Andhus technologies
01.2023 - 09.2023

DevOps Engineer/ Azure

C-Net Infotech Pvt. Ltd.
06.2019 - 09.2021

Build and Release Engineer.

Accenture
12.2018 - 09.2019

Master's - computer information science

New England College

Bachelor of Technology - Engineering

Vellore Institute of Technology

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