SATYAJIT ROY CHOUDHURY

• Executive Leadership: P&L, Global Scaling, FinOps
• Cloud & Platform: Kubernetes, GitOps, Multi-Cloud
• Reliability: SLO/SLI, Incident Command, Observability

• AI/ML Infra: NVIDIA GPU, HPC Networking, MLOps
• Security: Zero-Trust, FedRAMP, SOC 2, PCI-DSS
• Product Delivery: API Platforms, CI/CD, WAF/WAAP

Owned platform engineering and SRE strategy for a high-growth fraud detection SaaS, accountable for reliability, security posture, cost efficiency, and scalability as the platform absorbed rapid enterprise-driven traffic growth.

• Amplified platform modernization supporting 7x transaction growth, re-architecting to EKS-based microservices with eBPF service mesh while sustaining 99.9% SLA under attack traffic.
• Aligned cross-functionally with Product leadership to balance feature velocity and reliability, introducing SLO-based release gates that reduced customer-impacting incidents.
• Directed migration from Cloudflare to CloudFront with Lambda@Edge, reducing edge latency by 35%.
• Served as incident commander for high-severity outages; improved observability and SOC signal quality, reducing P1 MTTR by 58%.
• Instituted FinOps governance and tools, reducing cloud spend by 22% while supporting aggressive growth.

Executive leader with full P&L accountability for Platform Engineering and Global SRE for F5’s Distributed Cloud SaaS platform, overseeing reliability, security, and cost efficiency for a globally distributed, security-critical platform.

• Headed engineering and SRE organizations of 55+ engineers as a manager of managers (3 Directors, 1 Senior Manager), owning hiring plans, headcount allocation, and operating budget.
• Oversaw architectural strategy for a 25+ global PoP platform delivering multi-cloud networking, WAAP/WAF, and edge services, enabling the platform to absorb 400% growth in attack traffic.
• Established governance across infrastructure and platform investments, balancing in-house IP with vendor solutions; slashed annual TCO by 30% while accelerating feature velocity by 40%.
• Collaborated with the CISO to deliver FedRAMP High, PCI-DSS, and SOC 2 compliance, implementing policy-as-code, zero-trust architecture, mutual TLS, and runtime eBPF monitoring.
• Rebuilt the global SRE operating model into a follow-the-sun structure, reducing on-call burnout and lowering attrition by 10% while improving incident response consistency.
• Re-architected observability using ELK, Jaeger, and ML-based anomaly detection, reducing MTTR by 73% and sustaining >99.92%+ platform availability.

Technical leader for Adobe’s Core Search and Sensei Machine Learning platform, owning architecture and infrastructure for hyperscale ML/AI and search workloads.

• Led a team of 12 senior platform and infrastructure engineers, setting architectural direction for Adobe’s Core Search and ML platforms used across the Search and Sensei ecosystem.
• Directed the build of a hybrid GPU/CPU infrastructure spanning AWS, Azure, and on-prem environments, reliably serving ~30B daily API requests with >99.98%+ availability.
• Designed and optimized large-scale NVIDIA V100/A100 HPC clusters with RDMA InfiniBand, MIG, and GPU-aware scheduling; integrated MLOps (Kubeflow, Volcano), increasing cluster utilization by 38%.
• Led migration from managed AWS Elasticsearch to a self-managed hybrid architecture (18 clusters, 10B+ documents), delivering 30% licensing cost savings while improving operational control.
• Architected a unified multi-cloud Kubernetes platform, consolidating fragmented environments into 15 multi-tenant clusters and eliminating 90% of cluster sprawl using Cilium (eBPF).
• Enforced data lifecycle and tiering policies across search and ML pipelines, lowered cloud storage costs by 65% while maintaining sub-5ms P95 latency.

Technical leader for enterprise-wide CI/CD and platform modernization supporting Macy’s and Bloomingdale’s e-commerce platforms.

• Led a team of 15 engineers to design and deliver a company-wide CI/CD platform adopted across Macy’s and Bloomingdale’s engineering organizations.
• Designed a modern deployment platform using Jenkins pipelines, Spinnaker, Kubernetes and in-house orchestration tools, enabling 100+ tested infrastructure deployments per week and reducing deployment time from 2 - 3 days to under 1 hour.
• Implemented blue-green and canary deployment strategies, enabling near-zero-downtime releases for revenue-critical e-commerce workloads.
• Designed a hybrid cloud architecture spanning GCP (GKE), AWS (ECS/EKS) subsequently, and on-prem VMware Tanzu, enabling consistent workload execution across environments.
• Introduced early GitOps workflows using Flux CD, improving deployment consistency and reducing infrastructure provisioning errors during peak retail traffic.

Earlier Experience (2004 — 2016)

• Prior Engineering Roles: Workday, Chegg, RocketFuel, Adobe, Saba Software, CMC
• International Roles: Autonomy, SDG Group, HCL Tech, vCustomer (India)