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Davidlex Velazquez

@davidlexvelazquez

I build secure distributed platforms for payments, healthcare, and cloud-native AI.

I've built secure, distributed financial platforms at JPMorganChase, including transaction-oriented microservices, event-driven workflows, and governed AI capabilities for payments and operational use cases.

At Roche, I helped shape regulated digital-health and imaging software, connecting clinical systems and developing AI-assisted workflows for medical datasets. Previously at Nubank and Mercado Libre, I built scalable banking, marketplace, and payment services through periods of rapid platform growth.

I bring hands-on depth across Java, Python, cloud infrastructure, Kubernetes, Kafka, data systems, and production reliability. I lead architecture reviews, incident readiness, resilience improvements, and mentoring where security, compliance, and customer trust matter.

Experience

Work history, roles, and key accomplishments

JP

Lead Software Engineer

Apr 2023 - Dec 2025 (2 years 8 months)

Developed institutional financial technology expertise across global payments, regulated cloud platforms, and enterprise AI. Designed secure financial microservices and implemented event-driven transaction flows with Kafka, Kubernetes, and Terraform.

Java Spring Boot Python NodeJS React TypeScript Kafka Docker Kubernetes Terraform AWS Azure GCP CI CD IAM DevSecOps Splunk ELK GenAI RAG

RO

Software Engineering Lead

Mar 2020 - Mar 2023 (3 years)

Built expertise in regulated healthcare technology, medical imaging, and applied AI. Designed backend services with Java and Python, integrated clinical systems via HL7, FHIR, and DICOM, and led engineering teams in digital health initiatives.

Java Python C++React Angular TypeScript AWS S3 Docker Kubernetes HL7 FHIR DICOM PACS OpenCV TensorFlow PyTorch SQL NoSQL MLOps Cybersecurity

NU

Senior Software Engineer

Jul 2018 - Feb 2020 (1 year 7 months)

Developed deep expertise in cloud-native financial systems during Nubank's rapid scale-up. Built horizontally scalable services in Clojure, used Datomic and DynamoDB, and implemented event-driven processing with Kafka.

Clojure Datomic DynamoDB Kafka AWS CloudFormation Docker Kubernetes Prometheus Event Sourcing Microservices Functional Programming Scala Flutter Kotlin Swift

ML

Software Engineer

Jan 2016 - Jun 2018 (2 years 5 months)

Contributed to large-scale marketplace and payments platforms during cloud and microservices maturation. Built backend services in Java and Go, designed REST APIs, and worked on payment flows including authorization and reconciliation.

Java Go JavaScript HTML CSS Groovy Grails Pl SQL Oracle MySQL REST Microservices AWS Docker Kubernetes Fury CI CD Payments Distributed Systems

Education

Degrees, certifications, and relevant coursework

UE

Universidad EAFIT

Master of Engineering, Systems and Computing

2024 - 2025

Master of Engineering (Maestria en Ingenieria) with specialization in Systems and Computing, awarded Magister en Ingenieria.

UE

Universidad EAFIT

Systems Engineering, Software Engineering

2011 - 2015

Systems Engineering (Ingenieria de Sistemas) with academic emphasis in Software Engineering, awarded Ingeniero de Sistemas.

Availability

Looking for a job

Location

Colombia

Authorized to work in

Salary expectations

50k+ USD

Social media

Job categories

Software Engineer Platform Engineer Cloud Engineer Site Reliability Engineer Machine Learning Engineer Data Engineer Solutions Architect

Skills

Java Python Go Clojure Kotlin JavaScript TypeScript SQL C++Pl SQL Scala React Next.js Angular Vue.Js HTML5 CSS Design Systems Accessibility Responsive UI UX UI Engineering A B Experimentation Android IOS Architectures Swift Flutter React Native Offline Synchronization Mobile Security Spring Boot NodeJS Django fastAPI REST GraphQL gRPC Microservices Event Driven Architecture Domain Driven Design Functional Programming PostgreSQL MySQL Oracle Datomic DynamoDB MongoDB Redis NoSQL Distributed Databases Spanner Vector Databases Object Storage Kafka RabbitMQ Spark Airflow BigQuery Redshift ETL ELT Batch Processing Stream Processing Data Quality Data Lineage Data Mesh AWS Google Cloud Platform Azure Cloud Native Architecture Multi Cloud Networking Managed Databases Serverless Docker Kubernetes GKE Terraform Helm Ansible GitOps GitHub Actions Gitlab CI Jenkins CloudFormation CI CD Internal Developer Platform Prometheus Grafana Datadog New Relic Splunk ELK OpenTelemetry SLOs Error Budgets Incident Response Chaos Engineering IAM OAuth OIDC Zero Trust Secrets Management Encryption TLS DevSecOps SIEM Vulnerability Management Secure SDLC RBAC Audit Logging Threat Modeling Pandas NumPy scikit learn TensorFlow PyTorch Keras Jax Hugging Face OpenCV NLP Computer Vision Recommendation Systems predictive modeling Anomaly Detection Fraud Detection LLM Gemini Gemma RAG Embeddings Vector Search Grounding Prompt Engineering Fine Tuning LoRAs Model Evaluation Model Serving Function Calling AI Agents Multi Agent Systems MLFlow Kubeflow Model Registries Feature Pipelines Data Pipelines Experiment Tracking Model Monitoring GPU Infrastructure TPU Infrastructure Kubernetes Based Inference HL7 FHIR DICOM PACS Integration Health Data Interoperability Digital Pathology Medical Imaging Healthcare Privacy Payments Digital Banking Transaction Processing Lending Fraud Risk Reconciliations Programmable Money Digital Assets Regulated Financial Architecture Event Sourcing MLOps Cybersecurity

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