Brian Santeliz
Senior Cloud & Backend Engineer

AWS Serverless • Distributed Systems • Fintech & IoT

I build cloud-native backends that scale and stay reliable. My work spans fintech and IoT—accelerating compliance workflows by 40% and reducing debugging time by 30% through observability-first practices and clean architecture.

Node.js TypeScript Python AWS Lambda DynamoDB API Gateway Event-driven Serverless
Location Venezuela (Open to Remote US/EU)
Focus Backend, Cloud Platforms, Reliability
Exploring Applied AI/LLMs for automation

Experience

Roles focused on backend, cloud platforms, distributed systems, and reliability.

Senior Software Engineer — Namutek

Remote • 2023–Present • Fintech
Node.js • TypeScript • AWS • Serverless
  • Orchestrated the migration of 2M+ banking users to a unified platform, improving scalability and boosting transaction volume by 35%.
  • Led backend modernization initiatives, introducing serverless patterns and standardizing deployments via CI/CD pipelines.
  • Designed and implemented authentication and authorization refactors using AWS Cognito and DynamoDB, enabling dynamic roles and fine-grained permissions.
  • Built internal administrative modules and microdeposit approval systems, reducing processing time by 40% and improving auditability for compliance.
  • Implemented observability improvements and structured logging, decreasing debugging time by 30% and strengthening operational reliability.

Senior Software Engineer (Contract) — Powerley via Jobsity

Remote (US) • 2024–2025 • IoT / Energy Tech
AWS IoT • Lambda • DynamoDB • Timestream
  • Built and maintained serverless backends for real-time IoT telemetry using AWS IoT Core, Lambda, DynamoDB, Timestream, and S3, processing millions of events daily.
  • Designed OTA orchestration and connectivity monitoring, reducing communication errors by 25%.
  • Developed analytics pipelines with PostgreSQL and dashboards with QuickSight to support operational visibility.
  • Improved system reliability through structured logging, CloudWatch, OpenSearch, and Datadog, reducing incident response time.

FullStack & Tech Lead Backend — CAIserT

Hybrid • 2021–2023
Node.js • Vue • GraphQL • Docker • Neo4j
  • Led distributed teams delivering full-stack solutions with Node.js, Vue, GraphQL, Docker, Apollo, and Neo4j.
  • Improved delivery speed by 15–20% through better architecture patterns and engineering practices.
  • Introduced Test-Driven Development practices, reducing post-release defects by 30%.
  • Designed event-driven patterns that increased scalability and long-term maintainability.

Full-Stack Developer — TechSynergy

Remote • 2020–2021
Node.js • Vue • MongoDB • MySQL
  • Built scalable web applications using Node.js, Vue.js, MongoDB, and MySQL.
  • Improved overall system efficiency by 30% through architectural optimizations.
  • Integrated AWS services and improved application security, reducing delivery timelines by 17%.

University Instructor (Part-time) — Momboy Valley University

Remote • 2023
React • JavaScript • HTML/CSS • Vue • Tailwind
  • Taught modern web technologies (React, JavaScript, HTML, CSS, Vue, Tailwind) with a strong hands-on approach.
  • Increased student engagement by 15% and project completion rates by 25%.
  • Organized hackathons and technical talks, boosting participation by 20%.

Frontend Developer — CreativeWorks

Remote • 2018–2019
WooCommerce • Bootstrap • jQuery • HTML/CSS
  • Developed and maintained WooCommerce features, improving functionality by 20% and increasing user satisfaction by 15%.
  • Enhanced UI/UX using Bootstrap, jQuery, HTML, and CSS, increasing engagement metrics by 10%.

Technical Expertise

Core technologies, infrastructure, and engineering practices used across production systems.

Core Technologies
Node.js Express.js TypeScript JavaScript Python Flask React AngularJS GraphQL REST APIs
Frameworks & Tools
Docker Kubernetes Jest Cypress Postman Swagger/OpenAPI DataDog Sentry JMeter Linux Shell Scripting Firebase SonarQube
Cloud & Infrastructure
AWS Lambda Serverless API Gateway SQS RDS DynamoDB S3 CloudFront Route53 Secrets Manager Cognito IAM CloudWatch CloudTrail Microservices
DevOps & Delivery
CI/CD AWS Pipelines GitHub Actions Terraform IaC Feature Flags LaunchDarkly Observability Monitoring Structured Logging
Data Platforms
PostgreSQL DynamoDB MongoDB Timestream Real-time Pipelines Analytics Dashboards
Quality & Reliability
TDD Test Automation Performance Optimization Incident Response Security Practices Runbooks

Highlights

Selected outcomes demonstrating scope, scale, and senior ownership.

Fintech platform migration

Led backend initiatives supporting the migration of 2M+ users into a unified platform, improving scalability and increasing transaction volume by 35%.

AWS Serverless Distributed Systems Reliability
IoT telemetry & OTA orchestration

Built serverless backends for device telemetry and rollout orchestration, improving connectivity reliability and reducing communication errors by 25%.

AWS IoT Timestream Event-driven Observability
Authorization & security

Designed fine-grained authorization using AWS Cognito + DynamoDB, enabling dynamic roles and audit-friendly access control.

Cognito DynamoDB IAM Security

Community

Knowledge-sharing and technical communication through BSCode.

BSCode

Through BSCode, I publish technical content on backend engineering, AWS serverless, system design, and career growth. This reinforces strong technical communication, knowledge-sharing, and mentorship capabilities.

Education & Certifications

Formal education and AWS credentialing.

B.S. in Computer Engineering

Momboy Valley University • 2017–2020
Computer Science • Systems • Software Engineering
  • Foundations in software engineering, systems design, and computer science fundamentals.

AWS Certified Cloud Practitioner

Amazon Web Services
Certification
  • Validated knowledge of AWS fundamentals, security, pricing, and cloud best practices.

AWS Certified Developer – Associate

Amazon Web Services
Certification
  • Validated expertise in developing, deploying, and debugging cloud-native applications on AWS.

AWS Certified AI Practitioner

Amazon Web Services
Certification
  • Validated fundamentals of AI/ML concepts and AWS AI services for practical, business-oriented use cases.

Languages

Communication readiness for global teams.

Spanish

Native

English

Professional working proficiency (technical communication, meetings, documentation)

Contact

Best way to reach me for senior backend / platform roles.

Email
blsvsanteliz@gmail.com
LinkedIn
GitHub