Career Profile

I’m Nicolas Brousse, an Engineering and Operations Leader with expertise in cloud technologies (AWS, Azure, GCP, private). As TubeMogul’s sixth employee, I spearheaded infrastructure scaling from inception to support ±350 billion daily real-time bid requests, enabling a successful IPO and subsequent acquisition by Adobe (NASDAQ: ADBE).

At Adobe, I serve as Director of Engineering for Adobe’s Real-Time Customer Data Platform (CDP), leading SRE, Security, and Cloud Engineering teams to ensure 24/7 reliability. I previously directed a global team of SREs, cloud/software/security engineers, and database architects, ensuring 24/7 uptime for Adobe Advertising Cloud through a DevOps approach. My track record includes optimizing operations, delivering complex integrations, and achieving rapid compliance while managing multimillion-dollar budgets.

Known for collaborative leadership and building high-performance teams, I’m driven by innovation and tangible business impact. I’m a speaker at U.S. tech conferences (SRECon, LISA, IEEE), the author of Shell-Tips!, and with prior experience managing high-traffic, large-scale platforms at MultiMania, Lycos, and Kewego.

Highlights

Cloud Infrastructure Leadership
Proven experience scaling cloud infrastructure (AWS, Azure, GCP, private) for high-volume, real-time applications (350 billion daily bid requests). Drove strategic infrastructure development supporting successful IPO and acquisition.
Global Team Management
Led a multinational team of SREs, cloud engineers, software engineers, security engineers, and database architects at Adobe, ensuring 24/7 uptime for mission-critical systems.
Talks & papers
Nineteen talks and papers, 2011-2019, at USENIX LISA, SRECon, Velocity and OpenStack Summit.

Technologies

Languages

Python, Go, Rust, Ruby, PHP, Java, JavaScript, TypeScript

Platform & orchestration

Kubernetes, OpenShift, OpenStack, Docker, KVM, Argo, Puppet, Jenkins

Data & streaming

Kafka, Couchbase, MySQL, ElasticSearch/ELK, HBase, Hadoop, Zookeeper, Splunk

Observability & network

Prometheus, Grafana, Splunk, HAproxy, TCP/IP, Open vSwitch

ML infrastructure

Torch, Transformers, MLflow, Nvidia Triton

Cloud & OS

AWS, Azure, Linux