Planetary-scale consumer communications platform
Challenge: Sustain reliability and cost efficiency for one of the world's largest communication products under unpredictable viral traffic, across multiple cloud providers.
Approach: Multi-cluster GKE operations with HPA, GKE Gateway API ingress, Kustomize-based production deploys, OIDC-secured CI/CD, and a full AWS-to-GCP migration with encrypted disaster recovery and leader-election failover.
Outcome: ~30% infrastructure cost reduction post-migration. Deployment cycles reduced from hours to minutes. Zero-downtime rolling deploys across the entire service estate.
Global merchant-of-record payment orchestration
Challenge: Operate a subscription and payment platform routing transactions through dozens of international payment providers, with strict PCI requirements and async reconciliation at scale.
Approach: Kubernetes operations across AWS and GKE, PCI-conscious logging architecture, SQS-based async processing pipelines, webhook delivery guarantees, chargeback workflows, and 3DS authentication flows.
Outcome: Reliable multi-PSP routing with audit-ready infrastructure. Automated reconciliation and e-invoicing pipelines processing high transaction volumes continuously.
MVNO eSIM charging and session platform
Challenge: Operate a real-time charging gateway for a global MVNO/eSIM provider — grant-charge billing, session continuity, and degraded-mode failover across 200+ country markets.
Approach: Go microservices on GKE with 5–10 replica HPA, transactional outbox pattern for session continuity, and resilient failover when upstream charging systems degrade.
Outcome: Continuous mobile data session delivery even during partial upstream failures. Production-grade telco billing infrastructure on cloud-native Kubernetes.
Internal developer platform for a product studio
Challenge: Enable hundreds of engineers across a portfolio of ventures to self-provision infrastructure, deploy safely, and operate in isolated environments — without a centralized ops bottleneck.
Approach: Built a self-service control plane with Temporal workflow orchestration, Go agent fleet, ABAC authorization, multi-cluster GKE federation, and OIDC-integrated CI/CD. Centralized DevOps for ad orchestration, communications, and studio products.
Outcome: Engineers deploy in minutes instead of days. Audit-ready, least-privilege infrastructure across the entire venture portfolio.
Multi-region cloud migration for digital health platform
Challenge: Migrate a production healthtech platform from AWS across multiple regions to a national cloud provider — including container orchestration modernization from managed PaaS to Kubernetes.
Approach: Phased migration with traffic shifting, Elastic Beanstalk to Kubernetes transition, CI/CD pipeline rebuild, and comprehensive observability stack deployment for the new environment.
Outcome: Zero-downtime migration completed. Automated deployment pipelines operational from day one in the new cloud.
Large-scale data and AI search platform
Challenge: Operate a data platform with tens of millions of records, graph and vector database backends, and AI-powered search — while migrating between major cloud providers without service interruption.
Approach: Deployed NebulaGraph and Milvus on Kubernetes, executed a zero-downtime GCP-to-Azure AKS migration, and established production monitoring for graph and vector query workloads.
Outcome: Seamless cloud relocation with AI search capabilities intact. Production-grade data platform operations on Azure Kubernetes Service.
High-traffic e-commerce infrastructure stabilization
Challenge: Stabilize and modernize operations for a major online furniture retailer running mixed legacy stacks — PHP, .NET, EC2, and Elastic Beanstalk on AWS — under sustained high-traffic e-commerce load.
Approach: End-to-end DevOps/SRE engagement: CI/CD pipeline design, observability deployment, infrastructure hardening, and operational continuity planning across heterogeneous application tiers.
Outcome: Improved deployment reliability and infrastructure visibility. Established foundation for subsequent containerization and modernization initiatives.
Enterprise Kubernetes for a global telecommunications operator
Challenge: Design and operate on-premises and OpenShift-based Kubernetes infrastructure for enterprise workloads at one of the world's largest mobile network operators.
Approach: On-prem Kubernetes cluster operations, Jenkins and GitLab CI pipeline integration, enterprise data platform connectivity (SAP HANA, Exasol, Denodo), and hybrid cloud architecture patterns.
Outcome: Production-grade container platform serving enterprise analytics and application workloads within strict telco security and compliance boundaries.
Ultra-low-latency trading infrastructure
Challenge: Engineer infrastructure for high-frequency trading where every microsecond matters — requiring custom OS images, network stack bypass, and kernel-level performance tuning.
Approach: Custom bare-metal OS images, network path optimization, kernel parameter tuning, and dedicated hardware profiling to minimize tick-to-trade latency.
Outcome: Production HFT environment meeting stringent latency SLAs. Infrastructure engineered at the hardware-software boundary.
ERP modernization on cloud-native containers
Challenge: Modernize a legacy ERP deployment onto Azure Container Apps with high-availability database configuration and minimal business disruption.
Approach: Container Apps architecture design, MSSQL high-availability cluster configuration, migration planning, and production cutover with rollback strategy.
Outcome: ERP workloads running on modern container infrastructure with improved availability and simplified operational model.
Multi-channel advertising orchestration platform
Challenge: Operate campaign infrastructure integrating Meta, Google, and TikTok APIs for thousands of advertisers across 130+ countries — with queue-based automation and multi-tenant isolation.
Approach: Queue-driven automation pipelines, multi-tenant Kubernetes operations, API rate-limit management, and centralized platform DevOps across the ad orchestration stack.
Outcome: Reliable multi-channel campaign delivery at scale. Automated orchestration replacing manual operational workflows.