Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

Sai Raghuveer Chitikeshi

Summary

Cloud Architect with 12+ years of experience in designing and implementing scalable cloud solutions for large enterprises. Expertise in AWS, Google Cloud, and Azure, driving efficiency and innovation in cloud strategies. Proven track record of helping clients achieve business objectives through tailored cloud architectures.

Overview

7
7
years of professional experience
1
1
Certification

Work History

DevOps Engineer

Bayer Pharmaceuticals
Indianola, PA
01.2019 - Current
  • Infrastructure as Code: Implement infrastructure provisioning and management using AWS CloudFormation and Terraform, enabling scalable, and repeatable cloud environments.
  • Continuous Integration/Continuous Deployment (CI/CD): Develop and maintain robust CI/CD pipelines using Jenkins, AWS CodePipeline, and Git for streamlined deployment processes.
  • Configured Jenkins pipelines for real-time testing and deployment, streamlining integration and production workflow.
  • Configured seed jobs for using groovy script for different team to make use of it.
  • Managed real-time orchestration of containerized applications with Kubernetes, ensuring rapid scaling and recovery during high-demand periods.
  • Designed and optimized live querying frameworks for data warehouses, significantly reducing reporting delays during peak usage.
  • Designed secure multi-account AWS environments using AWS Organizations, SCPs, and guardrails.
  • Implemented compliance using AWS Config, custom rules, and integrated Sentinel policies for Terraform governance.
  • Provided operational support through cloud velocity teams, improving service rollout efficiency and resolving escalation tickets.
  • Enabled seamless collaboration between cloud and AI teams to ensure alignment between platform governance and GenAI innovation.
  • AI-based auto-scaling policies for GKE & EKS to predict workload spikes and adjust resources dynamically.
  • Implemented AI-driven cloud cost optimization models using Google Vertex AI & AWS SageMaker.
  • Integrated LLMs & Gen AI APIs for cloud incident prediction and remediation workflows
  • Developed AI-powered auto-healing infrastructure for GCP & AWS, reducing manual intervention by 70%.
  • Designed Gen AI-driven incident management system, leveraging LLMs for root cause analysis & auto-remediation.
  • Integrated AI-driven GitHub Actions workflows for predictive deployment risk analysis.
  • Automated hospital infrastructure migration to GCP & AWS, using Terraform & AI-powered security governance.
  • Deploying multitude applications utilizing almost all the GCP stack Including compute-engine, cloud-storage, SQL, Dynamo DB, cloud functions, GKE, IAM focusing on high-availability, fault tolerance, and auto-scaling Automation using Terraform.
  • Implemented self-healing cloud infrastructure that automatically applies fixes based on AI-driven root cause analysis.
  • Security and Compliance: Apply comprehensive security measures using IAM, AWS Config, AWS WAF, Shield, KMS, GuardDuty, and SecurityHub, ensuring data protection and compliance with industry standards.
  • Machine Learning Workflows: Design and automate machine learning pipelines using AWS SageMaker, integrating TensorFlow/PyTorch for deep learning projects, and utilizing SageMaker Studio for collaborative development.
  • Data Engineering Solutions: Architect and manage data pipelines leveraging AWS Glue, AWS Glue Crawlers, Athena, and S3, supporting scalable data warehousing with Amazon Redshift and Snowflake.
  • Real-time Data Analytics: Implement real-time data processing and analytics solutions using AWS Lambda, API Gateway, Amazon Kinesis, and Spark, enhancing business intelligence with AWS Quicksight.
  • Monitoring and Observability: Enhance system reliability with comprehensive monitoring solutions using Amazon CloudWatch, AWS X-Ray, Splunk, Datadog, Elasticsearch, and integrating New Relic for external insights.
  • Scripting and Automation: Employ Python, Typescript, Ruby, Bash, and Groovy scripting for task automation, utilizing Boto3 and Lambda for AWS resource management and automation.
  • Network Configuration and Optimization: Configure and optimize network infrastructure using AWS VPC, Route53, Direct Connect, and managing VPC Security Groups for enhanced security.
  • Container Orchestration and Management: Manage containerized applications using Docker, AWS ECS, AWS Fargate, and Kubernetes (EKS), ensuring scalable and efficient deployment.
  • Database Management and Optimization: Administer relational and NoSQL databases including MySQL, Amazon DynamoDB, leveraging AWS Systems Manager for database operations.
  • Server and Application Monitoring: Implement server and application monitoring frameworks using CloudTrail, AWS Systems Manager, and AWS Elastic Beanstalk for operational efficiency.
  • Communication and Integration Services: Enhance application communication using AWS SQS, SNS, SES, and Amazon Connect, ensuring reliable message queuing, notification services, and customer engagement.
  • Cloud Network and Application Security: Deploy network security measures with AWS VPN, AWS Shield, and managing SSL certificates with ACM, integrating AWS WAF for web application security.
  • Web Development: Skilled in developing dynamic, responsive web applications across the full stack, using Python, JavaScript (ReactJS), and C# for both front-end interactivity and back-end services, with a strong focus on AWS integration for cloud-based solutions and .NET framework for scalable enterprise projects.
  • Environment: AWS Sage maker, Athena, AWS Glue, Datadog, DynamoDB, Chef, Jenkins, EC2, IAM, CloudTrail, systems manager, VPC, Route53, EBS, SQL, ELB, Cloud watch, Cloud Formation, Docker, Jira, AWS CLI, AWS Auto Scaling, Unix/Linux, Python, C#, Typescript, Ruby, Shell scripting, Git.

AWS/Cloud engineer

SAE international
Pittsburgh, PA
07.2018 - 01.2019
  • Involved in designing and deploying multitude applications utilizing AWS stack (Including EC2, Route53, S3)
  • AWS Infrastructure & Automation: Designed and deployed scalable, high-availability applications on AWS using EC2, Route53, S3, RDS, DynamoDB, SNS, SQS, and IAM, focusing on auto-scaling and fault tolerance using CloudFormation.
  • Voice-Controlled Application Integration: Developed AWS Lambda functions to integrate Alexa and Google Voice with SmartThings for voice-controlled management of cloud-connected devices, leveraging AWS's seamless integration capabilities.
  • Real-Time Monitoring & Analytics: Implemented Datadog dashboards for real-time monitoring of AWS Lambda performance, ensuring optimal operation of voice-controlled smart devices.
  • Software Development: Developed cloud-connected applications using Java and Groovy, enhancing SmartThings device functionality and user interfaces, demonstrating proficiency in modern programming languages.
  • SmartThings IDE Management: Analyzed and published device handlers and smart apps in the SmartThings IDE, enabling advanced connectivity and control over smart devices.
  • Testing Framework Development: Designed a comprehensive testing framework for Alexa Canary service, ensuring reliability and performance of voice-controlled smart devices.
  • Docker & CI/CD Pipelines: Managed Docker deployment pipelines using Jenkins, automating the build and deployment process for application images, showcasing expertise in containerization and continuous integration.
  • Version Control Management: Managed code repositories on GitHub and GitLab, addressing merge conflicts and ensuring code integrity, demonstrating proficiency in version control systems.
  • AWS Security & Network Configuration: Configured IAM and Security Groups within Public and Private Subnets in VPC, enhancing security and network efficiency.
  • Environment: AWS, Puppet, Jenkins, VPC, Route53, EBS, SQL, ELB, Cloud watch, RunDeck, Cloud Formation, Docker, Jira, AWS CLI, AWS Auto Scaling, Unix/Linux, Python, Ruby, Shell scripting, Git.

DevOps Engineer

Thermofisher cientific
Pittsburgh, PA
01.2018 - 07.2018
  • Jira Configuration & Management: Spearheaded the implementation of Jira as the central defect tracking system, customizing workflows, and integrating plugins to streamline bug/issue tracking processes.
  • Ansible Development: Authored and maintained a suite of Ansible modules for the upstream Ansible repository, enhancing automation capabilities and contributing to the open-source community.
  • Build & Deployment Automation: Integrated Maven with Perforce for efficient management and deployment of project artifacts, establishing a robust CI/CD pipeline.
  • Tomcat & Maven Administration: Managed a Tomcat repository for Maven artifact deployment, ensuring secure storage of build artifacts and dependencies.
  • Version Control Strategy: Mentored business units on Subversion branching and merging strategies, fostering a solid understanding of version control best practices.
  • Tool Suite Implementation: Played a key role in the deployment and integration of tool suites, including Jira and Jenkins, to facilitate continuous integration and issue tracking.
  • Continuous Integration Setup: Established a CI pipeline using Jenkins, Maven, and Tomcat, automating the build and deployment process to enhance development efficiency.
  • Infrastructure as a Service: Developed an Openstack-based infrastructure offering Database as a Service (DBaaS) and Load Balancer as a Service (LBaaS), optimizing resource utilization.
  • Confluence Administration: Implemented Confluence as the corporate wiki, documenting development, and change management protocols to improve knowledge sharing.
  • Scripting & Automation: Authored custom PowerShell scripts for automating tasks across Office 365, Active Directory, SQL, and VMware, reducing manual intervention.
  • Application Deployment Support: Assisted in deploying WARs/EARs through the Weblogic Application Server console, ensuring smooth backend updates.
  • Clustered Environment Setup: Configured a clustered environment using Weblogic Application Server to ensure high availability and scalability.
  • Shell Scripting for Configuration: Utilized shell scripting for Weblogic application server configuration across various environments, streamlining server setup.
  • Configuration Management Support: Provided comprehensive support to lead developers on configuration management issues, facilitating smooth development cycles.
  • Software Configuration Management: Led the creation of the Software Configuration Management Plan, defining protocols for code integration, build management, and environment setup.
  • Issue & Change Management: Efficiently managed bug tracking and change requests in production environments using Jira, ensuring timely resolution and updates.
  • Environment: Openstack, Ansible, Jenkins, Jira, Linux, Weblogic, Subversion, Shell scripting.

Education

University of Maryland Easternshore
Princess Anne, Maryland, USA

Skills

  • AI/ML technologies: AWS SageMaker, Amazon Comprehend
  • Operating systems expertise: Linux, Windows
  • Build automation tools: Jenkins, Docker
  • Scripting and programming languages: Python, Ruby
  • Version control systems: GIT and Bitbucket
  • Continuous integration tools: Jenkins and AWS CodePipeline
  • Cloud services expertise: AWS and GCP
  • Database management systems: MySQL and PostgreSQL
  • Containerization technologies: Docker and Kubernetes
  • Infrastructure as code tools: Terraform and Ansible
  • Web server technologies: Apache Tomcat and Nginx
  • Monitoring solutions: Splunk and Datadog
  • Frontend technologies: HTML and JavaScript
  • Testing frameworks: JIRA and Pytest
  • Software development methodologies: Agile and Scrum practices
  • Security compliance tools: IAM and GuardDuty solutions

Certification

  • gcp certified professional
  • aws certified solution architect

Timeline

DevOps Engineer

Bayer Pharmaceuticals
01.2019 - Current

AWS/Cloud engineer

SAE international
07.2018 - 01.2019

DevOps Engineer

Thermofisher cientific
01.2018 - 07.2018

University of Maryland Easternshore

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Sai Raghuveer Chitikeshi