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Rajendhra B - Sr Cloud Architect / AWS Cloud Engineer /Sr DevOps Engineer /Platform Engineer / AWS Solutions Architect

[email protected]

Location: Addison, Texas, USA

Relocation: Yes

Visa: H1B

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Rajendra Bollavula Senior Cloud Solutions Architect/ Sr AWS Cloud Architect / Sr DevOps Engineer Phone: +1848-480-6418 Email: [email protected] Austin TX(Texas) Available for C2C Roles willing to relocate PROFESSIONAL SUMMARY Proficient cloud expert, holding Azure & AWS Solutions Architect Professional certification, demonstrating advanced expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. Over 12 years of experience in IT, with a strong focus on designing and implementing secure, scalable, and cost-optimized solutions across AWS. Proven success in leading enterprise cloud migrations and hybrid cloud strategies. Leveraged comprehensive AWS knowledge to architect and implement complex cloud solutions for major clients, including BMW, VW, and MAN, showcasing the ability to apply best practices in real-world scenarios, and Service Mesh implementation. Skilled in CI/CD, automation, container orchestration, and high-availability architecture for microservices applications. Proven ability to optimize performance, security, and scalability in production environments. Demonstrated mastery of Infrastructure as Code (IaC) principles using Terraform, enabling rapid, consistent, and version-controlled deployment of cloud resources across multiple environments and providers. Designed and executed large-scale cloud migration strategies, transitioning critical applications from on-premise to AWS infrastructure, utilizing a deep understanding of AWS services and architecture principles. Experience in release management, CI/CD automation, and cloud infrastructure. Proven expertise in orchestrating end-to-end release cycles, streamlining deployment processes, and ensuring smooth delivery across multiple environments Implemented advanced multi-cloud solutions, combining expertise in AWS (as an AWS Certified Solutions Architect and SysOps Administrator) with knowledge of Azure (certified in Azure Fundamentals), to create robust and flexible cloud environments Utilized FinOps principles (as a FinOps Certified Practitioner) to optimize cloud costs and maximize ROI for enterprise-level projects, balancing performance requirements with budget constraints. Architected high-performance, scalable solutions leveraging AWS services including ECS, SNS, Lambda, and Aurora, demonstrating proficiency across the AWS ecosystem. Led complex database migration projects, including Oracle to Aurora and Oracle to RDS Oracle transitions, using AWS Database Migration Service (DMS) and Schema Conversion Tool (SCT), showcasing database expertise alongside cloud skills. Implemented containerization strategies with ECS, EKS, and AKS, and designed next-generation Kubernetes infrastructure for automotive clients, highlighting advanced container orchestration skills. Led the migration of Kubernetes workloads from AWS EKS to on-premise, implementing Ceph for resilient storage and Vault for secure secret management, aligning with enterprise data residency and compliance requirements. Developed serverless architectures using AWS Lambda, creating efficient, scalable, and cost-effective solutions for data processing and application logic, with Python as the primary language for Lambda functions. Established robust CI/CD pipelines integrating Jenkins, GitLab CI, GitHub, and Bitbucket with AWS tools (CodePipeline, CodeBuild), leveraging Shell and Python scripts for build, test, and deployment automation. Designed and implemented hybrid connectivity solutions between on-premise and AWS environments, showcasing the ability to create seamless integrations for enterprise clients. Implemented advanced security measures in cloud environments, including IAM policies, encryption mechanisms, and Single Sign-On (SSO) solutions for AWS and Azure, ensuring compliance and data protection. Consistently applied best practices in cloud architecture, security, and operations, as validated by multiple AWS certifications, while leveraging Terraform, scripting skills (Python, Shell), and open-source tools to deliver innovative, highly automated, and efficient cloud solutions across various industries. Spearheaded RFPs and tender offers to secure multiple high-value cloud projects, driving substantial business growth and establishing the company as a prominent player in the cloud services market. Designed and implemented EKS to On-Prem OpenShift migration, including configuring Ceph for persistent storage and Vault for secrets management, enabling a seamless, secure hybrid Kubernetes environment. Collaborated with cross-functional teams, including application developers, DevOps engineers, and enterprise architects, to modernize legacy mainframe and Java applications, enabling smooth transitions to cloud-native platforms using Docker, Kubernetes, and services such as AWS Fargate. Enabled real-time data analytics pipelines using services such as AWS Glue, Athena, and S3, integrated with Lambda functions and CloudWatch for data processing, monitoring, and alerting. Led cloud knowledge-sharing initiatives, conducting internal workshops, mentoring junior engineers, and contributing to internal documentation, playbooks, and best practice guidelines to uplift overall cloud maturity within the organization. EDUCATION Master of Science in Flexible Electronics from Technical University of Chemnitz, Germany Bachelors in Electronics and computer science from Jawaharlal Nehru Technological University TECHNICALSKILLS Cloud Platforms: AWS EC2, S3, Lambda, API Gateway, Athena, Glue, DMS, SCT, RDS, CloudFormation, ECS, CloudWatch, SQS, SNS, Amazon Q, BedRock, KMS Azure: App Services, Key vault, function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB IaC & Automation Terraform, CloudFormation Containerization & Orchestration Docker, Kubernetes, OpenShift, ECS, ECS, AKS, AWS Fargate CI/CD Jenkins, GitLab CI, Concourse CI, AWS CodePipeline, AWS CodeBuild Version Control Git, GitHub, Bitbucket, SVN Monitoring & Logging Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Zabbix Programming & Scripting Python, Bash, Shell Scripting Security & Compliance IAM, Keycloak, HashiCorp Vault, AWS Security Hub, Azure Security Center Databases Oracle, Aurora, PostgreSQL, MongoDB, DynamoDB, Redis Serverless Frameworks AWS Lambda, AWS SAM, Serverless Framework APIs & Integration Swagger, Postman, REST API, SOAP, OAuth2, Messaging Queues Configuration Management Ansible, Puppet Code Editors Visual Studio Code (VS Code), Sublime Text, Atom, Notepad++, Vim Operating Systems Linux, Unix, Windows Cost Management (FinOps) AWS Cost Explorer, Azure Cost Management, FinOps Principles SDLC Methodologies Agile, Scrum, Waterfall CERTIFICATIONS: AWS Certified Solutions Architect - Professional AWS Certified Solutions Architect Associate AWS Certified SysOps Administrator - Associate CNCF Certified FinOps Practitioner Microsoft Certified Azure Fundamentals WORKING EXPERIENCE: Client : AT&T, Dallas TX R le: Senior Cloud Solutions Architect (DevOps) - Cloud Migration & Network Int gration (AWS) May 2025 to Till date Responsabilit s : Redesigned monolithic workloads into headless, event-driven architectures using API Gateway, Lambda, and microservices enabling multi-channel integrations and reducing release coupling Directed enterprise-scale migration using AWS Migration Hub, Application Migration Service (MGN), and DMS, achieving zero-data-loss cutover and strict compliance with AT&T s internal policies. Implemented AIOps-driven observability frameworks integrating metrics, logs, and traces for predictive monitoring, automated root-cause correlation, and anomaly detection, reducing MTTR Deployed IAM ring-fencing controls using Service Control Policies (SCPs), Permission Boundaries, and ABAC, enforcing least-privilege principles and secure workload isolation per environment. Architected multi-account governance via AWS Organizations, Control Tower, and Landing Zone, enabling centralized policy management, auditing, and FinOps alignment. Designed hybrid connectivity frameworks integrating AT&T MPLS VPN, NetBond, Direct Connect, and Transit Gateway, improving network performance and reliability under zero-trust principles. Built intelligent CI/CD pipelines with Copado, GitHub Actions, and Terraform, embedding automated compliance gates, static code checks, and release governance. Automated environment provisioning, post-migration validation, and monitoring through Lambda, CloudWatch, and Config, accelerating deployment timelines Applied FinOps optimization using Trusted Advisor and Cost Explorer, reducing operational costs through rightsizing and proactive scaling insights. Collaborated with security and analytics teams to strengthen compliance posture and improve operational dashboards for real-time fleet utilization insights Environnent :AWS (Migration Hub, MGN, DMS, AMS, Organizations, Control Tower, Landing Zone, Direct Connect, Transit Gateway, Lambda, CloudWatch, Config, Trusted Advisor), Terraform, GitHub Actions, Lucidchart, Confluence Sulzer GmbH Sep 2023 to May 2025 Role: Senior Cloud/AWS Solutions Architect/Sr DevOps Engineer As Head of RFP Management and Senior Cloud Solutions Architect (AWS ,Azure, Salesforce), led the end-to-end technical Responsibilities: Architected cloud solutions for RFPs, focusing on migration strategies, cloud-native design, security, and cost optimization using AWS (ECS, Lambda, RDS, VPC) and Azure (AKS, Functions, Bicep). Reviewed RFP requirements to assess technical feasibility, compliance scope, and solution alignment with client expectations and industry standards. Architected AI/LLM-ready multi-cloud infrastructure enabling large-scale training, inference, and autonomous agent execution. Created solution blueprints, architecture diagrams, and detailed write-ups to support proposal narratives and technical volumes. Designed and managed multi-cloud, AI-ready infrastructure to support agent execution and large-scale LLM workloads. Migrated legacy applications to a Service Mesh architecture, achieving better traffic control, monitoring, and security compliance. Collaborated with stakeholders across sales, legal, and engineering to ensure proposals were accurate, compelling, and deliverable. Implemented Kubernetes-based orchestration for AI/ML workloads using KServe, Ray, enabling scalable model serving and distributed training. Developed dynamic Grafana dashboards and alert rules for SLO-based monitoring across environments. Automated AWS EKS and IAM resource provisioning using Terraform. Managed CI/CD workflows using ArgoCD and GitHub Actions with Helm-based Kubernetes deployments. Integrated alerting with PagerDuty and Slack Implemented Copado release management for Salesforce projects, ensuring smooth, error-free deployments across multiple sandboxes and production orgs. Collaborated with Salesforce developers and admins to optimize DevOps workflows, cutting release cycle time Integrated infrastructure-as-code (Terraform, Ansible) and DevOps pipelines (GitHub Actions, Azure DevOps) into proposed architectures to ensure automation and maintainability. Conducted cost modeling and pricing support for proposed cloud services, balancing performance, scalability, and budget. Deployed and managed Istio Service Mesh on Kubernetes clusters for microservices environments. Participated in technical Q&A sessions and client presentations, explaining proposed architectures and demonstrating technical leadership. Maintained a library of reusable technical assets and proposal templates to accelerate future bid responses. Environment: Microsoft Word, Lucidchart, Microsoft Excel, Microsoft PowerPoint, SharePoint, AWS Pricing Calculator, Azure Pricing Calculator, Adobe Acrobat Pro, Microsoft Visio, Microsoft Teams, Jira, Microsoft Project, Confluence, Draw.io, Tableau, GitHub, Terraform, Ansible, AWS CloudFormation, Azure Bicep, JSON, YAML BundesNetzAgentur, Sulzer GmbH, Munich, Germany Jan 2024 to May 2025 Role: Senior Cloud Solutions Architect/Sr. Platform Engineer Responsibilities: Designed and developed a scalable microservices-based platform to aggregate and visualize network coverage data (Cellular, DSL, and Fiber) reported biannually by national providers. Architected deployment pipelines and infrastructure automation using Ansible, Docker, and Kubernetes, ensuring seamless container orchestration and streamlined environment provisioning. Implemented GitOps-based continuous delivery workflows with ArgoCD, enabling automated, version-controlled deployments across environments. Designed and deployed Service Mesh across multiple Kubernetes (EKS) clusters, enabling secure service-to-service communication with mTLS and fine-grained access policies. Directed end-to-end release management for enterprise applications across Dev, QA, UAT, and Production environments. Collaborated with AI/ML engineers and data scientists to create reproducible and scalable pipelines for LLM fine-tuning, inference, and agent workflows. Integrated advanced monitoring and alerting systems using Grafana and Prometheus, providing real-time visibility into application health, resource utilization, and system performance. Automated data deployments and user stories migration using Copado Data Deploy. Configured centralized logging and analytics through the ELK stack (Elasticsearch, Logstash, Kibana) to ensure traceability, auditability, and troubleshooting efficiency. Integrated Istio telemetry with CI/CD pipelines for proactive monitoring and automated rollback in case of failures. Deployed and managed Linux VMs using VMware vCenter, including VM templates and troubleshooting virtualization issues. Enhanced resilience of AI pipelines with self-healing orchestration, drift detection, and automated rollback of failing models. Supported multi-cloud environments (AWS, Azure, Salesforce) with automated deployments and release governance. Established CI/CD pipelines with Git and GitHub Actions, enforcing consistent integration and deployment practices across development stages. Ensured secure service communication by configuring OAuth-based authentication mechanisms within the API gateway. Maintained high data integrity and accuracy by implementing automated data validation and transformation routines. Applied code quality and compliance checks using SonarQube and Git workflows to enforce best coding standards. Authored and maintained technical documentation covering architecture, deployment procedures, troubleshooting guides,and operational best practices. Environment: OpenShift, Kubernetes, Docker, ArgoCD, Ansible, GitHub Actions, YAML, Ceph, HashiCorp Vault, Prometheus, Grafana, Elastic Stack (ELK), AWS Lambda, AWS S3, CloudWatch, REST API, OAuth2, Git, Python Scripts, Linux, SonarQube, Microservices Architecture BMW AG, Sulzer GmbH, Munich, Germany Feb 2022 to Dec 2023 Role: Senior Cloud Solutions Architect Project Description Responsibilities: Conducted a comprehensive assessment of BMW s on-premises architecture, analyzing the existing technology stack and dependencies to identify areas for modernization. Selected suitable AWS cloud services to align with BMW s business and technical requirements, facilitating a smooth migration process. Developed a tailored migration strategy that ensured minimal downtime and maintained data integrity throughout the transition. Refactored and containerized application components using Docker to ensure compatibility with the target cloud environment. Led the migration of databases from Oracle to Aurora PostgreSQL, managing schema conversion, data validation, and operational cutover. Designed and implemented CI/CD pipelines using Terraform and GitHub Actions to automate deployment workflows. Designed secure multi-cloud AI infrastructure aligned with compliance frameworks (GDPR, SOC 2, HIPAA) for sensitive AI workloads. In-depth knowledge of VMware vSphere, including ESXi, vCenter Server, and related management tools (vRealize, vMotion, DRS, HA) Configured and optimized AWS infrastructure components such as VPCs, subnets, and security groups for a secure and scalable environment. Set up monitoring and logging with AWS CloudWatch to ensure system reliability and prompt issue resolution. Documented best practices for cloud architecture and migration processes to support future enhancements and maintenance. Performed rigorous testing, including load testing and performance tuning, to meet BMW s quality and performance standards. Environment: Quarkus, AWS Cloud (ECS, S3, VPC, Lambda, API Gateway, Route53, CloudFront, ElastiCache, DynamoDB, RDS, IAM, Parameter Store, Systems Manager), Terraform, Docker, Java, PostgreSQL, DMS, REST/SOAP, Git Actions, Code Pipeline, Code build, SQS, SNS MAN Truck and Bus SE, Sulzer GmbH, Munich, Germany Jun 2022 to Jul 2023 Role: Senior Cloud Solutions Architect Responsibilities: Executed the end-to-end migration of Oracle databases to Amazon RDS for Oracle using AWS DMS with minimal downtime. Designed and implemented DMS replication architecture, configuring tasks for both full and ongoing data replication. Performed ESXi host configuration, patch management, and firmware updates to maintain security and performance compliance. Rearchitected legacy data generators as cloud-native services using Python, improving data simulation workflows and system integration. Provisioned infrastructure using Terraform and automated environment configuration through Ansible. Monitored migration and database performance using Amazon CloudWatch, ensuring operational integrity post-migration. Applied IAM, KMS, and parameter group policies to secure and fine-tune RDS instances. Collaborated with DBA and DevOps teams to validate schema compatibility and tune SQL performance in the new environment. Documented the entire migration process and created knowledge-transfer materials to support operations and future enhancements. Environment: AWS RDS for Oracle, AWS DMS, Terraform, Ansible, Python, Oracle DB (on-prem), Amazon CloudWatch, IAM, KMS, Git, YAML, Linux, BMW AG, Sulzer GmbH, Munich, Germany Feb 2021 to May 2022 Role: Senior Cloud Solutions Architect Responsibilities: Automated the setup process and defined Infrastructure as Code (IaC) templates to streamline deployment and management. Prepared and structured data, including conceptualizing data storage solutions to support optimal cloud data management. Executed the migration of data and refactored on-premises applications for cloud-native optimization, ensuring compatibility with AWS services. Developed and implemented deployment strategies, including integration testing, to ensure smooth transitions and operational integrity. Applied a "Factory Approach" to refactor applications for the new cloud environment and managed their migration to AWS. Utilized AWS services such as S3, Glue, DynamoDB, DMS, Athena, RDS, and CloudWatch to build and maintain the cloud infrastructure. Leveraged Python for scripting and automation tasks. Used Bitbucket, GitLab, and Jenkins for version control and continuous integration/continuous deployment (CI/CD) pipelines. Implemented service management processes using ServiceNow. Employed Terraform and CloudFormation for infrastructure provisioning and management. Managed documentation and project tracking using Confluence and Jira to facilitate collaboration and progress monitoring. Environment: AWS S3, AWS Glue, AWS DynamoDB, AWS DMS, AWS Athena, AWS RDS, AWS CloudWatch, Terraform, AWS CloudFormation, Python, Bitbucket, GitLab, Jenkins, ServiceNow, Confluence, Jira, YAML, Linux, CI/CD Pipelines, Infrastructure as Code (IaC), Microservices Architecture BMW AG, Sulzer GmbH, Munich, Germany Aug 2021 to Feb 2022 Role: Senior Cloud Solutions Architect Responsibilities: Developed and implemented the infrastructure necessary for connecting local cloud data hub interfaces to the newly developed Centralized Data Hub (CDH), a centralized storage solution for BMW's extensive data needs, enabling streamlined data management across the organization. Engineered seamless integration for seven distinct interfaces by connecting them to the CDH, ensuring efficient data ingestion, processing, and storage to support data-driven decision-making. Utilized Terraform to define Infrastructure as Code (IaC), automating the setup and deployment process for consistent and scalable infrastructure provisioning across the cloud environment. Leveraged AWS services, including S3, Athena, Glue, and Step Functions, to manage and process the data ingested into the CDH, optimizing data flow, improving scalability, and ensuring high-performance data operations. Designed and maintained the data architecture, utilizing DynamoDB to store and manage process information, ensuring reliable tracking and accessibility of data operations while maintaining data integrity across systems. Managed source code and version control through GitHub, ensuring collaborative development, continuous integration, and seamless deployment of infrastructure and application updates. Implemented comprehensive data governance practices, including the modeling and application of interfaces, access controls, and abstraction layers within the CDH, facilitating secure and seamless data interaction and integration. Collaborated with cross-functional teams using Jira for project management and Confluence for documentation, ensuring alignment with business requirements, enhancing the overall efficiency of data processing workflows, and contributing to the successful execution of the project. Environment: AWS Glue, Athena, Lambda, Step Functions, S3, RDS, Python Scripting, Terraform, CloudWatch, Confluence, Bitbucket, Jira Volkswagen AG, Sulzer GmbH, Munich, Germany Jan 2020 to Jul 2021Role: Senior Cloud Solutions Architect. Responsibilities: Developed a comprehensive migration strategy, including detailed project planning, risk assessment, and timeline management, to ensure a smooth transition of SAP S/4HANA from the on-premises environment to AWS. Executed the deployment and configuration of SAP S/4HANA on AWS, ensuring the seamless migration of ERP data and applications while maintaining data integrity and minimizing operational disruption. Designed and implemented the AWS cloud architecture to support SAP S/4HANA, including the setup and optimization of AWS services such as EC2, RDS, S3, and CloudFront to achieve optimal performance and scalability. Integrated SAP S/4HANA with other enterprise systems, including CRM and ERP solutions, to ensure efficient data flow and process integration within the AWS cloud environment. Conducted thorough testing, including functional, performance, and security evaluations, to validate the AWS-based SAP S/4HANA setup and ensure it met BMW s operational requirements. Provided training and support for BMW s IT and business teams on managing SAP S/4HANA in the AWS environment, and developed comprehensive documentation for ongoing maintenance and future enhancements. Implemented best practices for cloud operations, including automated backups, scaling policies, and monitoring using AWS CloudWatch to maintain high availability and performance of the SAP S/4HANA deployment. Environment: SAP S/4HANA on AWS, AWS EC2, RDS, S3, CloudFront, CRM, ERP, Jenkins, Git, Confluence, Jira, Python, Cloud Formation Sulzer GmbH, Munich, Germany Jun 2019 - Jul 2020 Role: Solutions Architect/Cloud Engineer Responsibilities: Architected comprehensive AWS Landing Zone frameworks to establish secure, scalable cloud infrastructure customized for various organizational divisions, ensuring each unit received appropriate resource allocation and access controls aligned with their operational requirements. Implemented Keycloak as the enterprise Single Sign-On platform to centralize user authentication across hybrid cloud environments, establishing seamless integration with Azure-hosted LDAP services to enable corporate credential utilization for unified access management. Designed and delivered an extensive cloud education initiative featuring interactive workshops and practical laboratory sessions to advance employee competency in cloud technologies and industry best practices. Mentored and coached personnel pursuing AWS professional certifications, specifically Cloud Practitioner and Solutions Architect Associate credentials, through structured guidance, curated learning resources, mock assessments, and individualized support. Established comprehensive documentation frameworks covering cloud governance standards, security protocols, and operational guidelines to facilitate ongoing cloud environment administration and management. Conducted regular knowledge transfer sessions and educational workshops to ensure organizational awareness of emerging cloud technologies and contemporary methodologies. Assessed and optimized training program effectiveness through continuous evaluation and iterative improvements to address knowledge gaps and enhance learning outcomes. Environment: AWS, AWS Landing Zones, Keycloak, Single Sign-On (SSO), Azure LDAP, Python, Terraform, Code Pipeline, Code Commit, Code Build, Code Deploy Volkswagen, Reply GmbH, Germany Aug 2018 - May 2019 Role: Cloud Native Solutions Architect for Volkswagen Responsibilities: Architected and implemented a state-of-the-art Kubernetes infrastructure to support Volkswagen s infotainment system, ensuring the platform could scale efficiently and handle high workloads. Designed and configured Kubernetes clusters using Terraform to automate the deployment and management of the infrastructure, ensuring consistency and reducing manual effort. Integrated Concourse CI/CD pipelines to streamline continuous integration and delivery processes, enabling automated testing, building, and deployment of applications within the Kubernetes environment. Incorporated the ELK Stack (Elasticsearch, Logstash, and Kibana) into the Kubernetes environment for advanced logging, monitoring, and visualization of system performance and operational metrics. Developed and applied best practices for Kubernetes deployments, including container orchestration, service discovery, and network policies to optimize the performance and reliability of the infotainment system. Collaborated with cross-functional teams to ensure seamless integration of the Kubernetes infrastructure with existing systems and applications, addressing any compatibility issues and ensuring smooth operation. Implemented security measures for the Kubernetes environment, including role-based access control (RBAC), network policies, and secure communication practices to protect sensitive data and maintain system integrity. Environment: Kubernetes, Terraform, Concourse, ELK Stack (Elasticsearch, Logstash, Kibana), Docker, AWS, Oracle DB, Direct Connect Ferrero GmbH, Reply GmbH, Germany Jun 2018 - Sep 2018 Role: Cloud Native Solutions Architect for Volkswagen Responsibilities: Developed and implemented automated deployment strategies for SAP Hybris applications across development (Dev), quality assurance (QA), and production (Prod) environments using AWS CloudFormation and Troposphere. Configured and managed infrastructure for SAP Hybris applications, including setup of environments for both B2B and B2C eCommerce functionalities, ensuring reliable and scalable deployment processes. Utilized Puppet for configuration management, automating the setup and maintenance of servers and application components to ensure consistency and reduce manual intervention. Integrated Zabbix as the monitoring tool to oversee the health and performance of the deployed infrastructure and applications, enabling proactive detection and resolution of issues. Designed and implemented CloudFormation templates to automate infrastructure provisioning, allowing for repeatable and reliable deployment processes. Collaborated with cross-functional teams to ensure seamless integration and deployment of SAP Hybris across different environments, addressing any issues that arose during deployment and ensuring alignment with project requirements. Environment: AWS EC2, S3, VPC, CloudFormation, Troposphere, Puppet, SAP Hybris, Zabbix Fraunhofer ENAS, Germany Sep 2015 Dec 2016 Role: Cloud Engineer Responsibilities: Developed and maintained Terraform scripts to provision and manage AWS infrastructure components like EC2, S3, and VPC. Automated routine tasks using Shell scripts, such as log rotation, backup validation, and disk usage monitoring. Performed basic Linux system administration tasks, including user management, file permissions, service restarts, and log analysis. Managed cron jobs to schedule automated health checks and maintenance scripts on Linux servers. Supported CI/CD pipeline setup using Jenkins for automating application deployments and infrastructure updates. Collaborated with senior engineers to troubleshoot deployment issues and ensure stable dev/test environments. Documented deployment processes, configurations, and troubleshooting steps to support knowledge sharing within the team. Environment: AWS EC2, Terraform, Shell, Jenkins, Docker, Amazon CloudWatch, YAML, Git, Linux SmartEdge Solutions, India Jun 2012 Jul 2013 Role: Software Engineer/Linux Administrator Responsibilities: Created and managed user accounts and access permissions on RHEL systems. Troubleshot application and network-level issues related to TCP/IP, DNS, VPN, and HTTP/HTTPS protocols. Developed and deployed Bash/shell scripts for system monitoring, log analysis, and service automation. Performed system installations and deployments using Red Hat Kickstart, ensuring consistent OS configuration across servers. Managed file systems and disk partitions, including formatting, mounting, and backup procedures. Created and maintained cron jobs to automate backups, cleanup, and other repetitive admin tasks. Deployed and managed Linux VMs using VMware vCenter, including VM templates and troubleshooting virtualization issues. Participated in routine patch management, system upgrades, and monitored system health using tools like Nagios and Splunk. Environment: RHEL, CentOS, Shell Scripting, Kickstart, VMware vCenter, ESXi, XEN, Apache, DNS, DHCP, FTP, NFS, LDAP, SMTP, TCP/IP, WebSphere Portal, Perforce, SVN, SE Linux, Cron, Logrotate Keywords: continuous integration continuous deployment quality analyst artificial intelligence machine learning sthree database active directory rlang information technology logistics execution Texas