Philippe Damoune

– Senior backend/platform engineering (Python/Django), with a production mindset (reliability, observability, delivery). – Design and build robust APIs and backend services with performance, security, and maintainability in mind. – Implement async/background processing and event-driven workflows (queues/workers). – Improve production reliability: monitoring/alerting, incident response, postmortems, and runbooks. – Optimize the data layer (PostgreSQL) and caching to reduce latency and support growth. – Streamline delivery with CI/CD, Docker, IaC (Terraform), and automated testing. – Build integrations/connectors and pipelines with third-party tools and SaaS APIs, including normalization, enrichment, and validation.

– Built and maintained open-source integrations in Python, with a strong focus on automated testing, CI/CD, and production reliability. – Built, refactored, and maintained 15+ production-grade OpenCTI connectors, improving stability and performance across major integrations (e.g., CrowdStrike, Microsoft Sentinel/Defender TI, Wiz). – Delivered end-to-end API integrations and normalization/enrichment/validation pipelines, transforming vendor threat intelligence into STIX 2.1 objects to support automated workflows. – Increased automated testing (unit/integration) and improved CI/CD for connectors (pipeline optimization + expanded test suite), reducing pipeline duration from 30 to 5 minutes and increasing release confidence. – Contributed to the open-source Connector SDK, standardizing reusable patterns (configuration/schema validation, logging, error handling, retries) to improve code quality and accelerate delivery across the community.

– Led the team responsible for the automated price computation engine, accountable for delivery, reliability, and scalability. – Redesigned async execution and scaling (Celery, AWS Lambda), reducing end-to-end computation time from hours/days to minutes for runs involving millions of prices, through parallelization and workload partitioning, including PostgreSQL performance work (query tuning, index optimization). – Established operational standards (code quality, testing strategy, postmortems, incident response, runbooks, review/release process), improving delivery consistency and reducing production incidents. – Partnered with DevOps to improve CI/CD and observability (monitoring/alerting), shortening lead time to production and improving production operability. – Mentored engineers through onboarding, code reviews, and technical guidance.

– Owned core modules of the pricing computation backend (Python/Django), delivering features and improvements across critical pricing workflows. – Improved maintainability and performance through refactoring, automated tests, and profiling/query tuning (PostgreSQL), contributing to technical planning and design decisions.

– Migrated the servers and core services to AWS (RDS, EC2, S3, EFS, VPC). – Automated the infrastructure and deployments using Infrastructure as Code (Terraform, Ansible, Packer, Docker). – Built operational reporting and dashboards related to station passages (Java/Spring, ElasticSearch, Kibana) – Delivered and maintained the products evolutions on backend and frontend (Java/Spring, React)

– Delivered product features across backend (Java/Spring) and frontend (React), integrating with Tibco EBX and MS SQL. – Improved developer experience by standardizing local environments (Docker), speeding up onboarding and reducing setup issues.

– Delivered features and maintenance on internal tools (Node/TypeScript, React, PostgreSQL) and contributed to a consistent dev environment (Docker).

– Built a Python/Flask web app integrating multiple marketing SaaS APIs and automating recurring workflows.

– Provided on-site IT support (workstations, network, troubleshooting) in a customer-facing environment.