GSB Solutions

QA Engineer

• Planificación de pruebas y diseño de casos de prueba: Analizar los requisitos empresariales, especificaciones técnicas y diseños conversacionales.
• Ejecutar pruebas funcionales manuales, de regresión, integración y UAT de forma independiente.
• Realizar análisis de registros para validar el comportamiento del sistema y solucionar problemas.
• Probar sistemas conversacionales impulsados por IA (chatbots, bots de voz, sistemas IVR).
• Evaluar la experiencia del usuario en plataformas de voz y conversación.

Tester Manual de QA – IVA / IVR, Hablante de Español

Engineer

• Develop and fine-tune data processing pipelines within Databricks
• Implement performance optimization techniques
• Work closely with data science and analytics teams to integrate data solutions
• Provide support for Databricks-based tools
• Resolve operational and performance issues, ensuring system reliability
• Document technical processes and system behaviors
• Lead knowledge transfer sessions to train team members on data processing techniques and tools
• Establish and enforce data governance and security protocols within Databricks
• Ensure compliance with regulatory requirements related to data management

Senior Databricks Engineer

Backend Engineer

• Desarrollar servicios backend utilizando Python y .NET/C#
• Integrar frameworks basados en LLM como LangGraph, AutoGen, etc.
• Colaborar en flujos de trabajo impulsados por IA y arquitecturas escalables.
• Construir frontends en React para aplicaciones impulsadas por IA.

Fullstack Developer, Python, .NET

ServiceNow

• Desarrollar y mantener soluciones en la plataforma ServiceNow
• Colaborar con equipos distribuidos
• Diseñar APIs y estructuras de datos
• Resolver problemas en pipelines de contenido

Servicenow Developer I

• Execute SIM and device provisioning activities as defined under SIM & Device Engineering Operations.
• Assist in SIM activation, deactivation, replacement, and updates as part of daily operational workflows.
• Perform routine SIM configuration tasks while adhering to project defined SLAs and quality standards.
• Monitor SIM and device systems for performance, errors, and malfunction indicators.
• Conduct health checks on SIM profiles and provisioning workflows to support reliable operations.
• Support first level analysis of SIM related incidents in collaboration with senior SIM engineers.
• Document issues, gather relevant logs, perform basic diagnostics, and escalate to engineering/operations leads as required.
• Maintain accurate records of SIM operations, provisioning results, and workflow changes.
• Work closely with device engineering, operations, and customer facing teams to support SIM processes.

SIM Engineer

• Configure and support GE Proficy Historian in AWS cloud
• Set up collectors like SparklugB collector and calculation collectors
• Create, manage, and maintain historian tags, including: Raw tags, Calculated tags, Writeback tags
• Develop and maintain Python scripts/services
• Enable and support downstream application teams
• Monitor historian health, data latency, and calculation pipelines
• Create and maintain calculation logic documentation

Proficy Engineer, Senior Python Developer

• Serve as the escalation point for complex technical issues related to Python applications and MongoDB databases.
• Diagnose, analyze, and resolve production incidents, ensuring minimal downtime and data integrity.
• Develop and maintain scripts and tools for monitoring, automation, and reporting.
• Document troubleshooting steps, solutions, and best practices for knowledge sharing.
• Participate in on-call rotation and provide timely responses to critical incidents.
• Communicate effectively with stakeholders, providing updates and post-incident reports.
• Collaborate with development teams to identify root causes and implement long-term solutions.

L3 Support Engineer, Python, MongoDB

Product Designer

• Create wireframes, prototypes, and high-fidelity mockups to communicate design concepts.
• Design intuitive and user-friendly interfaces for web and mobile platforms.
• Develop and maintain design systems and style guides.
• Collaborate closely with product managers, engineers, and other stakeholders throughout the design process.
• Effectively communicate design concepts and rationale to cross-functional teams.
• Participate in design reviews and provide constructive feedback.
• Develop a strong understanding of financial concepts, products, and services.
• Design solutions that address the unique challenges and complexities of the financial industry.
• Stay up to date on new financial technologies and trends.

UX/UI Designer

AI Engineer

• Implement agent orchestration with history, context management, retrieval-augmented reasoning
• Develop solutions with monitoring, and scaling strategies across hybrid and multi-tenant setups
• Excellent communication, solution documentation, and stakeholder engagement skills

GenAI Engineer

Data Engineer

• Architect and design an enterprise grade GCP based data lakehouse leveraging BigQuery, GCS, Dataproc, Dataflow, Pub/Sub, Cloud Composer, and BigQuery Omni
• Define data ingestion, hydration, curation, processing and enrichment strategies for large scale structured, semi structured, and unstructured datasets
• Create data domain models, canonical models, and consumption ready datasets for analytics, AI/ML, and operational data products
• Design federated data layers and self service data products for downstream consumers

Senior Data Engineer, GCP, Terraform

• Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data from multiple sources.
• Build and optimize data models for analytics and reporting.
• Implement and manage data storage solutions (e.g., relational databases, data lakes, cloud storage).
• Ensure data quality, integrity, and security across all systems.
• Collaborate with data scientists, analysts, and business teams to understand requirements and deliver solutions.
• Monitor and improve data pipeline performance and troubleshoot issues.
• Stay updated with emerging technologies and best practices in data engineering and cloud platforms.

Senior Data Engineer

• Architect enterprise data platforms on Google Cloud (GCP).
• Design and build a GCP BigQuery-based Data Lake & Data Warehouse ecosystem.

Senior GCP Data Engineer, Health Care Background

SDET

• Build robust automation to validate delivery solutions, including UAT, performance, and regression automation.
• Design and implement test automation for voice/NLP-based features using Playwright, Selenium, or equivalent tools.
• Collaborate closely with project managers and delivery engineering teams to validate AI outputs and system behavior to ensure quality coverage.
• Integrate tests into CI/CD workflows for continuous validation and fast feedback.
• Execute performance, security, and exploratory testing where needed.
• Validate real-world, end-user delivery scenarios through transcripts, speech samples, and real-world user flows.

Senior QA Automation Engineer

• Act as a hands-on QA automation engineer and platform builder.
• Build and maintain reusable automation frameworks and test infrastructure components (execution, orchestration, reporting).
• Design and implement automated test suites (functional, regression, integration, UAT).
• Develop self-service tools/interfaces enabling delivery teams to independently run and monitor tests.
• Optimize environment provisioning, test data injection, and pipeline observability to accelerate release cycles.
• Integrate testing into CI/CD workflows using tools like GitLab, Jenkins, Bamboo, and GitHub.
• Collaborate with QA leads and engineers to evolve test platforms that support delivery-focused automation needs.
• Contribute to testing-as-a-service initiatives across pre-release and post-deployment environments.

QA Automation Engineer I

• Act as a hands-on QA manager, focused on leading day-to-day test execution, writing and reviewing automation code, and supporting the team across delivery initiatives.
• Ensure QA best practices are applied consistently throughout the implementation lifecycle, while aligning closely with the overall strategy set by QA leadership.
• Lead and manage daily QA execution activities.
• Coach, mentor, and support automation and manual QA engineers.
• Implement and maintain scalable QA processes, testing standards, and delivery-focused governance (without owning overall QA strategy).
• Collaborate closely with project managers, engineering teams, and customer stakeholders to ensure timely, high-quality releases.
• Track and communicate QA metrics (e.g., defect leakage, coverage, UAT success rate) to drive visibility and continuous improvement.
• Champion and contribute to process improvement initiatives through retrospectives, training, and tooling enhancements.