Jesús Navarro

Senior Software Development Engineer in Test (SDET) with over 7 years of experience designing, implementing, and maintaining scalable automation frameworks for enterprise applications. Proven track record of delivering high-quality software through robust UI, API, and CI/CD automation, leading critical initiatives including SPEI regulatory compliance and credit card fraud detection using POS terminals and digital payment technologies. Hold a Master's degree in Computational Algebraic Topology, providing a strong mathematical foundation in algorithmic thinking, machine learning, artificial intelligence, and data analysis.

Experienced in front-end automation using Java, Selenium, Playwright, Cucumber, and IntelliJ, as well as back-end API automation with Python and Pytest, integrated into Jenkins, GitHub Actions, and modern DevOps workflows. Leverage AI-assisted development tools—including OpenAI GPT, Claude, Grok, Cursor, GitHub Copilot, and Codex—to improve software development, automation design, debugging, documentation, and engineering productivity. Recognized for analytical problem-solving, attention to detail, and the ability to translate complex business requirements into reliable, maintainable automation solutions while collaborating effectively in Agile environments.

SDET - Trimble

(2025-09)

• Led high-concurrency validation strategy for microservices (REST & GraphQL), leveraging k6 and parallelized pytest execution to uncover scalability limits in Lambda-backed components under production-like load.
• Identified and isolated infrastructure bottlenecks during multi-worker stress runs preventing false-positive functional defect reporting and improving release decision accuracy.
• Expanded automation framework resilience for distributed, feature-flag-driven architecture, strengthening validation of product behavior and complex source systems logic across integration paths.
• Improved regression stability across Dev, QA, Stage, and Pre-Stage environments, validating backward compatibility against legacy branches and ensuring consistent system's feature behavior.
• Reinforced CI/CD governance and branch discipline (Jenkins & GitHub Actions integration, strategy, controlled workflow practices), reducing pipeline instability and merge-related deployment risks.
• Increased deployment confidence through environment-aware test configuration and enhanced reporting (Allure), reducing flaky failures under concurrent execution.

Senior Software QA engineer - AspenTech

(2023-08 - 2025-04)

Served as the sole QA owner for two enterprise-grade Web Integration & System Management products, overseeing quality assurance across Linux and Windows environments from feature validation through General Availability (GA) and R&D releases.

• Managed and maintained 6+ Windows and Linux servers across development, staging, production, and failover environments, including software installation, configuration, dependency management (e.g., MongoDB), backup validation, and disaster recovery testing.
• Designed, executed, and automated end-to-end test scenarios from feature requirements, producing comprehensive test documentation and ensuring full traceability throughout the development lifecycle.
• Developed and maintained a Python (Pytest) automation framework integrated with GitHub, Jenkins, and Jama to support continuous testing, reporting, and CI/CD workflows.
• Authored internal technical documentation, troubleshooting guides, and feature usage manuals, while collaborating with development teams through Agile ceremonies, defect reporting, and enhancement requests.

Sr Quality Engineer - GETECSA

(2023-07 - 2023-08)

As an external consultant for Liverpool department store, I was responsible for end-to-end testing of the customer purchase process through to last-mile delivery, including quality checks of the merchandise at each stage. This process was managed using the SAP control application. I also contributed to an automation project, utilizing IBM's toolkit and Action Scripts to automate tasks within the SAP environment.

Quality Control and Systems - CLINICAL LAB BIOLACER

(2019-04 - 2023-06)

I led the quality assurance process for the successful rollout of management software for a clinical chemical lab. This included designing and executing test plans and test cases, ensuring full functionality across all features, and overseeing the implementation of the software on every computer across multiple locations.

Internship QA Management Support - CINVESTAV

(2022-05 - 2023-01)

Responsible of the quality control of Artificial Intelligence projects, reviewing, writing, and executing code in the built of a Boltzmann Restricted Machine. We must automate the procedure of cleaning the data since there was an overwhelming amount of it.

• Developed machine learning models using TensorFlow, including an image classification system and a temperature conversion model (Fahrenheit to Celsius) with a precision error below 0.001%, trained on a small dataset (~20 values) with optimized epochs.

QA Automatization Tester - GLOBAL HITSS

(2021-03 - 2022-04)

Responsible for designing, building, and executing test cases for Functional, User Acceptance, and Integration testing, ensuring all necessary resources were in place for successful execution. At MetLife, I led the automation process that enabled agents to upload data and performance stats to the mainframe, adapting to the tools and frameworks in use. A key achievement was managing the full automation test cycle—from analysis and script development in Java and Selenium to execution and reporting, regularly communicating results to team leads and the MetLife focal point.

QA SoftwareTester - CAPGEMINI

(2018-05 - 2019-04)

I was assigned to the project of updating the government mandatory requirements for the Inter-banking Electronic Payments System (SPEI) for the Bank COMPARTAMOS for web and mobile app. I am familiar with SAP features as: BaS, PE, BW, CRM, Karpay. My projects at CITI was in Entrepreneur Fraud Detection. Participated in the configuration and validation of fraud detection rules within the EFD application.

• Simulated purchase scenarios by coordinating virtual transactions (via Excel-based datasets) while executing physical transactions using POS with real credit cards.
• Post-execution, monitored and verified triggered fraud alerts to ensure rule effectiveness and system accuracy.
• Collaborated closely with the fraud prevention and development teams to fine-tune thresholds and improve detection precision.

Bachelor's Degree - Physics and Mathematics - ESFM-IPN

Master's Degree - Mathematical Sciences - CINVESTAV-IPN