About Me
I'm Sekou M. Doumbouya, an infrastructure architect building the bridge between cloud platforms and AI systems (not the basketball player). I'm a builder who happens to lead. With over 20 years in infrastructure and platform engineering, I've spent my career designing systems that multiply team impact. Now I'm applying that same approach to AI infrastructure: making LLM serving, training pipelines, and GPU orchestration as reliable and accessible as the cloud platforms I've been building for two decades.
Currently at Pinterest, I lead Cloud Architecture and multi-region initiatives. I'm increasingly focused on the infrastructure patterns that make AI workloads production-ready: the compute orchestration, networking, and platform abstractions that let ML teams move fast without building everything from scratch.
My approach: design systems that make complex capabilities accessible. Whether it's a global network backbone or an LLM serving platform, the best infrastructure disappears into the background while the teams using it get more productive.
How I Lead
Leadership at the principal level means setting direction while staying hands-on. I believe in leaving teams more capable than I found them.
Lead by Example
Player-coach who tackles complex problems alongside the team. 40% of my time stays hands-on with code and design reviews.
Small Teams, Big Impact
4-6 person pods maximize velocity and ownership. Tight feedback loops beat large committees.
Mentorship as Multiplier
Helping others level up compounds into organizational gains. I measure success by team capability growth.
High-Trust, Inclusive Culture
Psychological safety enables high performance. Diverse perspectives make better systems.
Cross-Functional Connector
Bridging engineering with product, design, and data science. Shared context creates alignment.
Strategic Approach
Principal engineers influence through expertise and trust, not organizational authority. These principles guide how I drive technical direction.
Aligning Tech with Business
Translate strategy into executable plans, communicate technical realities back to leadership.
Looking Around Corners
Anticipate scaling challenges before they're urgent. Proactive architecture over reactive firefighting.
Influence Without Authority
Lead through credibility and trust as a senior IC. Build consensus across org boundaries.
Builder at Heart
Drive change through tangible results, not slide decks. Ship working systems that prove the vision.
Technical Focus Areas
Where I invest my engineering energy. These four domains represent the intersection of my expertise and current interests.
Platform Engineering & Developer Experience
Building internal platforms that treat developers as customers. Self-service infrastructure that accelerates delivery.
- Platform-as-product mindset with clear value propositions
- Golden-path solutions abstracting infrastructure complexity
- Self-service CI/CD, monitoring, and provisioning capabilities
- FinOps integration for cost visibility and optimization
Success metrics
Lead time, onboarding friction, infrastructure costs
Site Reliability Engineering & Scalability
Designing distributed systems that stay up at scale. From SLOs to chaos engineering.
- Distributed systems and multi-region deployments
- Performance optimization and database scalability
- Observability: dashboards, SLOs, root cause analysis
- Chaos engineering and automated recovery patterns
Success metrics
Availability, latency percentiles, incident recovery time
AI & LLM Infrastructure
Building the compute, networking, and platform foundations that make AI workloads production-ready. From GPU orchestration to model serving pipelines.
- LLM serving infrastructure and inference optimization
- GPU cluster orchestration and scheduling
- AI platform standardization and governance
- Training pipeline infrastructure and data movement
Success metrics
Inference latency, GPU utilization, model deployment velocity
AI Platform Governance & Observability
Ensuring AI systems are observable, governable, and cost-effective. Building the guardrails that let teams move fast without creating risk.
- ML observability: drift detection, accuracy monitoring
- Governance frameworks for responsible AI deployment
- Cost management for GPU and inference workloads
- Security and compliance for AI/ML systems
Success metrics
Model performance, compliance adherence, cost per inference
Cloud-Native Evolution
Evaluating emerging technologies and driving adoption of what actually works.
- Evaluating emerging CNCF projects for fit
- Serverless, edge computing, and orchestration advances
- Infrastructure-as-code and security automation
- PoC development for promising technologies
Success metrics
Adoption success rate, innovation velocity, technical debt reduction
External Engagement
Building community beyond the day job. I believe senior engineers have a responsibility to share knowledge and lift others.
Speaking & Thought Leadership
- ● Conference talks on cloud architecture, SRE, and AI infrastructure
- ● Technical blog posts and case studies
- ● Podcast co-host: AI with Friends
Community & Open Source
- ● Contributing to infrastructure tools and frameworks
- ● Developer evangelism and internal talks shared externally
- ● Building bridges between practitioners and tooling vendors
DEI Advocacy
- ● Active mentor at /dev/color
- ● Building inclusive engineering cultures
- ● Speaking on inclusive leadership in tech
Core Competencies
Cloud & Platform
- Multi-Region Architecture
- AWS / OCI / GCP
- Kubernetes / EKS / ECS
- Terraform / IaC
Networking & Reliability
- Network Architecture
- VPC Design
- SRE Practices
- Observability Stack
AI & Automation
- LLM Serving Infrastructure
- GPU Orchestration
- AI Platform Engineering
- ML Pipeline Architecture
Leadership & Strategy
- Technical Strategy
- Team Building
- Cross-Functional Leadership
- Mentorship
Education & Development
Penn State University
Schuylkill Haven, PA · 1999–2002
Emerge Global Executive Leadership Program
Ross School of Business, University of Michigan
Community & Awards
AI with Friends
Weekly podcast breaking down complex technology topics through candid conversations.
/dev/color
Mentoring and supporting Black engineers and other underrepresented technologists navigating senior-level careers in tech.
LiveOps Amsterdam Datacenter Creation Award
Recognition for excellence in datacenter infrastructure design and implementation.