Alon Zandberg

– Architected and delivered production-grade KYC backend microservices supporting private and retail customer onboarding workflows, using Spring AI to power AI-driven data enrichment workflows, with Java Spring Boot as the core service runtime, improving data accuracy retrieval from external sources by 70% across KYC question-answer assisted workflows serving 2M+ active accounts. – Engineered a KYC-Salesforce ETL integration using Spring Boot, designing data contracts and transformation pipelines across Salesforce and core enterprise databases, processing 100K+ records per day with zero data loss. – Led end-to-end release delivery for 6 KYC microservices across bi-weekly sprint cycles, coordinating the Integration and Data Security teams to meet regulatory compliance checkpoints and achieve zero-defect go-live on every production rollout.

– Architected and automated end-to-end CI/CD workflows for WallaTours microservices using Jenkins, Groovy, Python, and Argo CD, building pipeline logic and automation for build, validation, release, and GitOps-driven deployment processes across Windows and Linux environments, reducing deployment cycle time by 40% to under 8 minutes. – Provisioned Infrastructure as Code on Oracle Cloud Infrastructure using Terraform and Helm, cutting environment provisioning time from hours to under 20 minutes and reducing cloud expenses by 30%. – Implemented Kubernetes CronJobs for Python-based scheduled batch workloads across 8 containerized services, orchestrating 40+ daily executions and optimizing pod resource allocation and node scaling policies, reducing cluster compute costs by 20%.

– Engineered a Spring Boot MongoDB Operational Data Store microservice for Israel's largest financial institution, integrating BFF microservices to drive real-time processing of client card order data, scaled to handle 1M+ daily transactions while maintaining a 99% uptime SLA. – Standardized and hardened Helm chart templates across 3 OpenShift Kubernetes environments (dev, staging, production), enforcing configuration consistency, reducing deployment risk, eliminating config drift, and enabling reliable, repeatable production deployments at scale. – Drove test quality across the card order platform, applying TDD with JUnit5 and Mockito to achieve 85%+ code coverage across microservices, integration tests, and the BFF layer, reducing production defect rate and enforcing test gates in the CI/CD pipeline.

Neptune Graph API Platform – Designed, developed, and deployed a Spring Boot REST API microservice for complex graph traversal queries against AWS Neptune, including the full data migration from CouchbaseDB to AWS Neptune, using Spring Data JPA and Spring MVC, scaling query throughput from ~500 to 2,000+ requests/minute across a graph of 1M+ nodes. – Engineered a Python Flask traversal API client for AWS Neptune graph queries, enabling downstream microservices to consume complex graph data via a clean REST interface, reducing integration time for new consumers by 60%. – Authored comprehensive Helm charts for multi-environment Kubernetes deployments and implemented Jenkins Pipelines and GitHub Actions for CI/CD, accelerating feature delivery from bi-weekly to daily releases across AWS ECR-backed clusters. FinOps AWS Hosting Clusters Cost Reduction – Recognized by the board of directors for leadership and reliability, entrusted to lead a cross-functional engineering team on a high-impact FinOps project, optimising AWS RDS cluster configurations and Kubernetes resource utilisation, delivering up to 70% peak monthly cost reduction (~$70K/month savings) while scaling system capacity to handle 3x traffic growth. – Mentored and onboarded 2 engineers into the AWS FinOps practice, establishing cost optimisation review workflows and tooling standards adopted across the platform team, directly contributing to sustained post-project savings. REST API Integration – Owned the architecture and delivery of a Java-based REST API orchestration layer integrating 12 model-based AI classifier microservices, authoring data contracts and transformation mechanisms to enforce data integrity across the service mesh. On-Call & Production Reliability – Served as on-call owner for production Graph API, crawler, and AI classifier services, stabilizing mission-critical AI infrastructure across the data pipeline by managing the full incident lifecycle. Conducted structured postmortem analyses for P1/P2 incidents and drove remediation actions that improved SLO attainment from 89% to 99.6%.

Pro-Israel Content Amplification Platform – Designed and delivered high-throughput REST APIs in Python using FastAPI and SQLAlchemy to power a web scraping and content classification platform that supported the amplification of pro-Israeli narratives and facilitated the identification of anti-Israeli content for reporting, processing 100K+ URLs/day. – Owned the full backend lifecycle from schema design through API deployment, applying async processing and ORM-driven query optimisation to handle high-volume scraping workloads at scale.

– Engineered mission-critical Java backend services for a classified defense-grade C2 system, building a high-performance JDBC-based data access layer with optimized MySQL queries to support real-time decision workflows under high-concurrency loads. – Designed and delivered RESTful Spring Framework middleware services for low-latency, high-reliability defense applications, enforcing Test-Driven Development with JUnit and Mockito and achieving 95%+ code coverage across all service layers, a standard later adopted as the baseline for the unit's engineering practices.