Mid-Level Software Engineer specializing in backend microservices and FinTech data pipelines
New York, NYSoftware Engineer 24 years experienceMid-LevelFinancial ServicesFinTechTechnology
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About
Backend engineer at Goldman Sachs who built LLM-powered reconciliation/reporting services and high-throughput Kafka pipelines (8M+ events/day). Strong in production-grade Python/FastAPI microservices on Kubernetes with GitOps-style CI/CD, plus experience migrating legacy reporting/settlement services onto an internal Kubernetes platform using shadow deployments and gradual cutovers.
Experience
Software Engineer 2Goldman Sachs
Software Developer & Compliance SupportSJSU Research Foundation
Software EngineerStetig Consulting
Education
San Jose State Universitymaster, Software Engineering (2024)
RBU (formerly RCOEM)bachelor, Information Technology (2020)
Key Strengths
Owned high-volume Python backend service for financial reconciliation/reporting
Scaled Kafka consumers with async processing, batching, and idempotent dedupe to prevent lag
Built robust validation and rule-check layers to improve reconciliation accuracy across misaligned sources
Hands-on Kubernetes deployments (Docker + manifests) with zero-downtime rolling updates
Implemented CI/CD with Jenkins/GitLab including tagging, automated rollbacks, and env-specific config via ConfigMaps/Secrets
Operational troubleshooting using K8s events/logs/metrics plus structured logging and tracing
Executed phased migration to Kubernetes using dependency mapping, shadow deployments, and gradual traffic cutover with metric monitoring
Designed resilient streaming pipelines with enrichment/validation and DLQ routing (8M+ events/day, 6 upstream systems)
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