Rezly AI

Marcus Rodriguez

Software Engineer

  • [email protected]
  • (555) 987-6543
  • Austin, TX
  • in/marcusrodriguez

Summary

Software Engineer with 6+ years of professional experience in scalable backend systems, cloud infrastructure, and distributed architectures using Java, Python, and AWS.

Experience

  • Senior Software Engineer
    • /
  • CloudScale Technologies
  • Austin, TX
    • /
  • February 2022 - Present
  • Architected and implemented microservices infrastructure using Java Spring Boot and AWS, supporting 2M+ daily transactions with 99.9% uptime reliability.
  • Led the migration from monolithic architecture to containerized services using Docker and Kubernetes, reducing deployment time by 75% and infrastructure costs by 30%.
  • Designed and optimized PostgreSQL database schemas and implemented Redis caching strategies, improving query performance by 60% for high-traffic applications.
  • Collaborated with DevOps and security teams to establish CI/CD pipelines using Jenkins and Terraform, ensuring automated testing and secure deployment practices across multiple environments.
  • Mentored a team of 5 junior engineers on system design principles and best practices, conducting technical interviews and establishing coding standards that improved team productivity by 40%.
  • Software Engineer
    • /
  • DataFlow Solutions
  • Denver, CO
    • /
  • September 2019 - January 2022
  • Developed robust ETL pipelines using Python and Apache Kafka, processing 500GB+ of real-time data daily for analytics and machine learning applications.
  • Built scalable REST APIs using FastAPI and integrated with multiple third-party services including Stripe, SendGrid, and Salesforce, supporting enterprise clients with complex integration requirements.
  • Implemented comprehensive monitoring and alerting systems using Prometheus and Grafana, reducing mean time to resolution for production issues by 50%.
  • Collaborated with data science teams to deploy machine learning models using MLflow and AWS SageMaker, enabling automated decision-making for business-critical applications.
  • Established automated testing frameworks using pytest and implemented code quality tools including SonarQube, achieving 90+ code coverage across all backend services.

Education

  • Bachelor of Science in Computer Science
    • /
  • University of Texas at Austin
  • Austin, TX
    • /
  • Aug 2015 - May 2019

Skills

  • Backend Technologies: Java, Python, Spring Boot, FastAPI, Node.js, GraphQL
  • Cloud & Infrastructure: AWS, Docker, Kubernetes, Terraform, Jenkins, PostgreSQL, Redis

Languages

  • English
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