Sriram Gaddipati

• Refactored legacy applications to AWS, leveraging cloud infrastructure to enhance scalability, and improve overall performance and reliability. Utilized various AWS services including AppSync, SFN, Lambda, DynamoDB, Redshift, CloudFront, SNS, SQS, Step Functions, IAM, Cognito, S3, and others to enhance and develop solutions.
• Orchestrated the development of a robust Backend-as-a-Service (BaaS) solution, which included designing GraphQL access patterns, creating Lambda functions, and implementing authentication and event publishing services to facilitate seamless interactions within the data layer.
• Led the effort in performing ETL readiness tasks, developing Glue scripts for data migration to DynamoDB and Redshift, conducting regression and integration tests, leveraging a wide range of AWS services, and overseeing the team in the design, deployment, and release of data services.

Environment: TypeScript, Python, PySpark, SQL, VTL, HCL, Terraform CDK, Terragrunt, Babel, Webpack, Git,AWS.

• Improved the Software Development Lifecycle (SDLC) platform to support package building, artifact management, and static analysis, streamlining development processes.
• Developed Golang utilities and clients to report security, auditing, and compliance findings, enabling interaction with the internal developer platform.
• Created a Golden Amazon Machine Image (AMI) pipeline for hardening systems in accordance with compliance standards, ensuring secure infrastructure provisioning.
• Designed Terraform modules for organization-wide use.
• Led the replatforming effort, transitioning legacy applications from virtual machines (VMs) to containerized environments. This encompassed tasks such as service analysis and discovery, data migration, code refactoring, and the creation of deployment configurations, Dockerfiles, and shell scripts.

Environment: Python, Golang, Shell, YAML, Docker,Websphere, Apache, Terraform, Jenkins, Git, ELK, Jira, Terratest, Terragrunt, gock, moto.

• Led a team of engineers in a Serverless environment, the solution reduced cloud account provisioning from 11 days to 45 minutes. Onboarded over 1,000+ cloud accounts and enabled 30+ ISV products as microservices. Delivered internal libraries and designed core services within a tight timeline.
• Developed RESTful services using FastAPI, Boto3 SDK, and SQL Alchemy in conjunction with various AWS services, such as API Gateway, Step Functions, Lambda, SNS, SQS, DynamoDB, RDS, S3, IAM, EC2, VPC, R53, CloudFront, and more. Implemented monitoring, logging, and notifications through CloudWatch, CloudTrail, X-Ray, SNS, SES, and conducted unit tests.

Environment: Python, PyTest, Moto, YAML, REST, Serverless, FastAPI, SqlAlchemy, AWS, Git.

• Development of compliance as code solutions for DISA (Defense Information Systems Agency) and CIS (Center for Internet Security) policies, ensuring adherence to stringent security standards.
• Creating Chef cookbooks tailored for different versions of RHEL (Red Hat Enterprise Linux) and Windows servers. These cookbooks automated the configuration and maintenance of servers in alignment with security baselines.
• Improved code deployment efficiency by automating processes with CI/CD pipelines.

Environment: Chef, Ruby, Shell, Powershell, Linux, Windows

• Successfully migrated an on-premises-based Hitachi Content Platform (HCP) to an object store backend in Azure. This involved migrating and optimizing the object storage and retrieval features of HCP to Azure services, ensuring data integrity and accessibility.
• Containerized and rehost .NET Core application to run on Azure Kubernetes Service (AKS). This initiative improved scalability, manageability, and resource utilization while maintaining seamless integration with the Azure-based object store.

Environment: ASP.NET Core, SQL, YAML, Terraform, Python, Powershell, REST, Docker, K8s, Azure

• Develop automation solution for the provisioning, configuration, and scaling of PaloAlto NGFW devices in AWS, thereby reducing the process duration from six hours to eleven minutes.
• Designed and developed custom libraries tailored for the PaloAlto Transit Gateway solution, enabling seamless integration with AWS cloud in SCCA architecture.
• Implemented a RESTful service that facilitated the automation of load balancer creation and the configuration of NGFW devices. This included tasks such as reverse proxy setup, virtual server configuration, SSL offloading, and more.

Environment: Python, Cloudformation, Chalice, AWS, PaloAlto NGFW, Sophos, Linux