Federico D.

Akamai is a global provider of cloud security, edge computing, and content delivery solutions.

• Refined core policy evaluation and incident generation logic, improving how network connections were matched against segmentation rules and increasing incident reporting consistency.
• Designed and implemented backend APIs using Python and Flask, including authentication, RBAC authorization, and pagination for large-scale deployments.
• Developed a Splunk HEC exporter with batching support and unified event queues, improving delivery efficiency under high traffic.
• Enhanced Cluster Manager with ClickHouse integration for high-volume event storage and adapted distributed messaging pipelines using RabbitMQ, Celery, and HAProxy with SNI routing, improving scalability and performance.
• Enabled TLS communication for internal services, improving secure service-to-service communication across distributed deployments.
• Implemented multi-provider SAML authentication support while maintaining backward compatibility.
• Integrated third-party systems, including Armis orchestration, to ingest and display large volumes of asset data.
• Troubleshot and resolved production issues across SaaS and on-premises cluster environments, improving system stability.
• Delivered hotfixes and backports across multiple product versions in collaboration with Product and QA teams.

Confidential company delivering security-focused backend systems and distributed processing solutions.

• Developed automation tooling for security systems using Python, improving scalability and operational reliability.
• Implemented backend services and REST APIs supporting distributed security workflows.
• Contributed to a distributed file analysis pipeline running on ESXi infrastructure, using MinIO for object storage, RabbitMQ for event-driven processing, parallel execution across multiple virtual machines, and PostgreSQL for result aggregation and persistence.
• Built an end-to-end testing framework using Node.js and Puppeteer to validate complex web workflows and backend integrations.
• Applied data analysis techniques and machine learning models to support threat detection use cases.
• Assisted in provisioning Kubernetes clusters on ESXi using Infrastructure as Code with Terraform and Packer.
• Helped implement monitoring and observability solutions using Grafana and PostgreSQL for infrastructure and testing environments.
• Contributed to frontend development using React, TypeScript, and Material UI for internal security tools.