Angelo Fajardo

Led design and delivery of a fleet-scale cluster lifecycle management control plane using Go, Python, and Kubernetes (EKS), enabling automated provisioning, upgrades, and rollback workflows across 1,000+ edge and cloud clusters with 99.95% service availability. Built versioned APIs with gRPC and OpenAPI for enrollment, policy distribution, and health reporting, reducing integration defects by 35% through strict contract testing and backward-compatible API evolution. Implemented event-driven reconciliation using Kafka-style streaming patterns and AWS primitives, processing 5M+ daily telemetry and lifecycle events with sub-2s end-to-end propagation for configuration drift remediation. Designed multi-tenant data models in PostgreSQL (RDS) with partitioning and index tuning, cutting p95 query latency from 420ms to 120ms while supporting audit-ready change history for cluster state and policy decisions. Hardened platform security with OAuth 2.0 /OIDC, mTLS, AWS IAM, and KMS, and introduced

Led delivery of secure, multi-tenant full-stack capabilities using Java, Spring Boot, and React; decomposed legacy functionality into microservices and versioned REST APIs to improve release cadence by 35%. Implemented hardened authentication/authorization with Spring Security, OAuth2/OIDC, and JWT; added security headers, input validation, and dependency scanning to reduce high-severity findings by 60% across quarterly audits. Built PostgreSQL data-access patterns (schema design, indexing, query tuning) and introduced Redis caching for hot paths, reducing p95 API latency from ~900ms to ~350ms under peak load. Established automated testing standards with JUnit, Mockito, and Cucumber, raising unit/integration coverage from 45% to 80% and cutting escaped defects by 30% over two release cycles. Containerized services with Docker and deployed to AWS via EKS/Kubernetes and Terraform, enabling reproducible environments and cutting provisioning time from days to under 2 hours. Designed CI/CD

Developed multi-tenant SaaS microservices in Java and Python with REST /OpenAPI, improving API reliability to 99.9% by adding idempotency keys, request validation, and consistent error contracts. Built containerized services with Docker and deployed to Kubernetes, standardizing health checks and autoscaling policies that reduced p95 latency by 28% during peak tenant activity. Designed and optimized PostgreSQL schemas for high-write operational data, using query tuning and connection pooling to cut database CPU by 25% while maintaining strict tenant isolation. Implemented asynchronous workflows using event-driven patterns and durable retries, reducing background job failures by 40% and improving end-to-end processing time for large tenant workloads. Created CI pipelines in GitHub Actions with automated unit/integration tests (pytest, JUnit 5) and container scanning, increasing release frequency from biweekly to weekly with fewer regressions. Shipped a React + TypeScript admin experience