Freelancer profile translated to English.
Back to original languageAbout Quentin
Computer Engineer and Site Reliability Engineer with expertise spanning backend development, cloud infrastructure, and embedded systems. Proficient in designing automation frameworks, resilient monitoring solutions, and high-performance services, as well as low-level development for hardware-sensitive systems. Experienced in multi-cloud environments, containerization, and CI/CD automation. Skilled at bridging software and computer engineering, solving complex problems from embedded systems to large-scale distributed services, and enhancing reliability and efficiency.
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Platform.shSenior Site Reliability EngineerTECHJanuary 2022 - Today (4 years and 4 months)France
- Developed Golang interfaces to automate cloud operations, including deployment pipelines and infrastructure provisioning.
- Managed large-scale server fleets for Adobe and Platform.sh, optimizing performance and reducing downtime.
- Created a scalable alerting framework integrated with Slack and OpsGenie, reducing alert fatigue and improving incident response.
- Developed monitoring tools with Golang, Clickhouse, Grafana, and Prometheus for real-time monitoring and metric visualization.
- Migrated workloads to Kubernetes, enabling auto-scaling, improved reliability, and reduced operational costs by moving critical workloads to the ARM architecture.
- Optimized cloud costs and resource utilization in multi-cloud environments.
- Implemented advanced CI/CD pipelines, automated testing, and incident response workflows.
- Designed and implemented a multi-layer mitigation system at layers 4 and 7, protecting SSH and HTTP/HTTPS endpoints with rate limiting, automated attack identification, and DDoS defenses.
- FasterizeComputer EngineerTECHOctober 2020 - February 2022 (1 year and 4 months)Paris, France
- Optimized infrastructure and services, improving performance and reliability through automation.
- Migrated workloads to AWS and Kubernetes, enabling scalable and resilient operations.
- Implemented Service Level Objectives (SLOs) to measure and enhance system reliability.
- Enhanced observability with metrics, dashboards, and alerts, reducing incident response times.
- Implemented auto-scaling to handle 10k requests/sec, improving availability and efficiency.
- Drove reliability initiatives, reducing incident frequency and increasing system stability.
- Électricité de FranceComputer Engineer – FPGA & Embedded SystemsENERGY AND UTILITIESDecember 2018 - September 2020 (1 year and 9 months)Paris, France
- Designed FPGA data acquisition systems for real-time recording of nuclear material stress tests.
- Implemented real-time signal processing chains for traction machine experiments using C, Rust, and RTOS.
- Developed computer vision algorithms for real-time detection of material deformations using high-speed cameras.
- Collaborated with materials specialists to analyze fracture behavior through sensor fusion and real-time telemetry.
- Optimized embedded firmwares and low-level drivers to ensure deterministic performance and high reliability.
- Implemented data streams for FPGA and microcontroller telemetry, integrating sensor data for analysis and predictive modeling.
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Education
- Master of Science - MsC, Advanced Computer Science (Computational Intelligence)University of Kent2020Master of Science - MsC, Advanced Computer Science ( Computational Intelligence )
- Electronics EngineerConservatoire National des Arts et Métiers