Michel Grolet

Hello👋

I'm a Software Engineer and Sales Engineer with 3 years at Google: YouTube ML infrastructure, then Google Cloud architecture and customer engineering, now Google Ads. Based in Paris, relocating to the Bay Area.


Linkedin: in/michel-grolet

Resume: resume.grolet.fr

⬇️ 01/2025 – Present : Google Ads, Solutions Engineering for Gaming & Apps publishers

08/2025 – Present

Google Ads gaming & mobile monetization work

Solutions Engineer at Google Ads

Paris, France

Helping publishers (gaming & mobile) grow revenue and UX with Google Ads & AdMob.

  • Led 3 head-to-head migrations against primary competitor; drove 28% revenue uplift, 30% CPM increase, and 25% higher fill rate for a major publisher by diagnosing critical mediation issues.
  • Provided end-to-end technical consultation for a video platform's main app, from MVP to product launch.
  • Designed an internal tooling system that surfaced a $XM ARR opportunity; scaled automated outreach to 1,000+ publishers in collaboration with GTM and Product.
  • Built AI-powered app crawling workflows to audit publisher SDK health and ad integration quality at scale.
  • Rated Significant Impact (S) in annual performance review.
ads.google.com   |   AdTech, GAM, AdMob, Publisher Monetization, Mediation, SDK Integration, AI Agents, Python

01/2025 – 06/2025

Google Cloud architecture and customer engineering work

Sales Engineer at Google Cloud

Paris, France

End-to-end cloud architecture, POCs, competitive migrations, and technical advisory for French enterprise and digital native accounts. Achieved Google Professional Cloud Architect (PCA) certification in 2 weeks (6x faster than standard).

  • Health insurtech: AWS→GCP roadmap (AlloyDB, GKE Autopilot, BeyondCorp, Composer/Workflows, HDS/Trusted Cloud tracks).
  • Video infrastructure vendor: Vertex AI Chirp ASR demo; debugged timestamp issues with internal Eng.
  • Private equity firm: positioned BigQuery/Looker, GenAI, S3NS/Trusted Cloud vs Azure bias.
  • Healthcare SaaS: solved Cloud SQL migration downtime via Database Migration Service (continuous replication).
  • Optimization/HPC startup: HPC/elastic compute strategy; Maps Route Matrix API sizing & limits.
  • Retail group: detailed GKE/Cloud Run pricing scenarios, CUD strategy.
  • Consumer social app: GKE → Cloud Run; LB & CronJobs simplification via Cloud Run Jobs; devx via Skaffold.
cloud.google.com   |   GCP, GKE, AlloyDB, BigQuery, Vertex AI, BeyondCorp, Cloud Run, DMS, Terraform, Architecture

01/2025 – 06/2025

Station F startup advisory role

Startup Advisor at Station F (20%)

Paris, France

Hands‑on guidance for early‑stage founders; network with VCs/mentors; map business → GCP.

  • Airline crew scheduling startup: GKE config, LB strategy, env isolation; bridged to GKE/DB specialists.
  • Data/AI startup: GCP overview, security (Cloud Armor), Vertex AI Model Garden intro.
  • Gaming platform: product/ad‑monetization/anti‑cheat advice; 125k+ users; B2B gamified ads roadmap.
  • Identified quick wins: Workspace, Vertex AI adoption, security posture.
  • Startups, GTM, GenAI, Security
stationf.co   |   Startups, GTM, GenAI, Security

⬇️ Since 01/2024 : wandering the startup world

07/2024 – 04/2025

Revolutionizing sports accessibility with the GetOut app, for booking and joining events, along with a SAAS platform for managing sports facilities.

CTO at GetOut

Paris, France

Led the full technical rebuild of a sports facility booking platform.

  • Recruited and led cross functional team of 7 engineers spanning infrastructure, backend, frontend, mobile, security, and UI/UX.
  • Inherited a failing offshore codebase that had cost tens of thousands of dollars. Audited contractor delivery, scoped a full rebuild, and shipped production grade product within 6 months.
  • Migrated infrastructure from AWS to GCP. Deployed on GKE then transitioned to Cloud Run for serverless cost efficiency. Codified every environment with Terraform for reproducibility.
  • Architected end to end stack: Laravel backend, React web, Flutter mobile, Cloud SQL data layer. Standardized on Clean Architecture for cross platform testability.
  • Designed analytics and back office systems giving the CEO real time visibility into user behavior, conversion, and operational metrics.
  • Owned the technology roadmap, hiring, vendor selection, and technical risk. Translated CEO business goals into weekly shipping milestones.
  • Transitioned out as advisor with retained equity. Handed off cleanly to senior backend engineer to focus full time on Google Cloud.
getout.sport   |   GoogleCloudPlatform, GKE, CloudRun, CloudSQL, CloudBuild, Terraform, Flutter, React, Laravel, PHP, CleanArchitecture, Figma, InfrastructureAsCode, AWStoGCPMigration

⬇️ 08/2022 – 08/2025 : ESILV, Google Software Engineering

08/2022 – 01/2025

Google Rue de Londres office in Paris

Software Engineer at YouTube

Paris, France

Engineered scalable cloud-native infrastructure to optimize and maintain diverse, large-scale YouTube Machine Learning pipelines.

  • Accelerated deployment velocity and enhanced core system reliability through the expert application of Kubernetes containerization and Infrastructure as Code automation.
  • Architected end-to-end ML pipelines covering model onboarding, training, deployment, and debugging to directly improve AI deployment efficiency across the platform.
  • Drove the full lifecycle development of internal products from initial design documentation through to achieving strict YouTube-grade production readiness.
  • Managed strategic stakeholder alignment by regularly presenting technical progress and product strategy to visiting YouTube VPs.
  • Partnered directly with internal client teams across Bay Area and Zurich global sites to capture requirements, streamline complex AI workflows, and ensure deployed infrastructure met user needs.
about.google   |   Machine Learning, Cloud Native, Kubernetes, Infrastructure as Code, AI Pipelines

08/2022 – 08/2025

La Défense business district in Paris where ESILV is located

Master's Degree at ESILV

Paris, France

Executed a rigorous 3-year CTI-accredited dual-curriculum, simultaneously managing full-time engineering mandates at Google and advanced academic requirements to accelerate technical expertise in DevSecOps and scalable infrastructure.

  • Architected robust deployment strategies by mastering Infrastructure as Code, PaaS, and distributed cloud computing frameworks to design highly available, cloud-native enterprise environments.
  • Integrated 'Security by Default' principles across the software development lifecycle, utilizing Zero Trust Architecture and applied cryptography to proactively secure complex data orchestration pipelines.
  • Bridged machine learning operations and network security by deploying AI-driven threat modeling techniques, ensuring enterprise AI systems maintain strict governance and production-grade reliability.
  • Collaborated within the elite French Campus Cyber ecosystem to synthesize cutting-edge DevSecOps methodologies, directly aligning academic security research with high-ROI business use cases for enterprise cloud adoption.
esilv.fr   |   CloudComputing, Cybersecurity, DevSecOps, InfrastructureAsCode, ZeroTrustArchitecture, MachineLearning, PaaS, CloudNative

⬇️ 09/2020 – 06/2022 : B.S. in Computer Science

Graduation (06/2022)
Obtained the TOEIC test level B2 (890/990)

09/2020 – 05/2022

Students working in groups

Associate Degree in Computer Science (DUT Informatique)

Nancy, France

I completed an intensive project-driven Computer Science curriculum designed to build a rigorous foundation in computational logic and real-world software engineering. I deliberately chose this hands-on track to bridge the gap between low-level system execution and high-level application logic. During the program, I was selected for the Advanced Math and Engineering Sciences minor, placing in the top 10% of my cohort.

  • Software Engineering and Architecture: Built applications from the ground up covering object-oriented programming, secure web development, mobile applications, and distributed systems. The curriculum heavily emphasized code quality, algorithmic optimization, and system design.
  • Infrastructure and Edge Computing: Gained deep practical knowledge of computer architecture, operating systems, and virtualization. I managed network services, deployed cloud architecture, and handled Unix administration.
  • Data and Security: Designed, queried, and optimized relational databases while exploring new database paradigms. I integrated cryptography, secure system design, and network security protocols to protect digital assets.
  • Applied Mathematics and Logic: Used discrete math, probability, graph theory, and numerical methods directly in software development to solve complex algorithmic problems and build decision support systems.
  • Directed an 8-person engineering team through the end-to-end product lifecycle to architect and deploy a secure web-based FinTech platform tailored for high-volume event transactions.
  • Engineered resilient payment orchestration pipelines by integrating RFID hardware, QR code protocols, and token-based exchange logic.
  • Ensured zero-downtime processing across both connected and offline edge environments.
  • Navigated full project management responsibilities including requirements gathering, team communication, and final client delivery.
  • Professional Development: The degree was structured around continuous practical delivery. Beyond the code, I developed strong professional skills in technical English, digital law, corporate communication, and IT management. This comprehensive approach culminated in hands-on internships and a robust portfolio of working applications, configured servers, and tangible client solutions.
univ-lorraine.fr/...   |   Software Engineering, System Architecture, Payment Orchestration, Hardware Integration, Edge Computing, Python, Cross-Functional Leadership, Cloud Deployment