VALCE Talent Solutions

• Desarrollo y mantenimiento de aplicaciones web usando tecnologías modernas • Colaboración con equipos multifuncionales para entregar software de alta calidad • Participación en revisiones de código y contribución a decisiones de arquitectura técnica • Orientación a compartir conocimientos y mentoría a desarrolladores junior

• Diseñar e implementar funciones de extremo a extremo • Construir y consumir APIs • Colaborar con gestores de producto, arquitectos y QA

• Diseñar las soluciones de ServiceNow utilizando las mejores prácticas de la industria. • Asesorar, diseñar y configurar soluciones de integración entre ServiceNow y otras herramientas. • Implementar Field Service Management (FSM), Source-to-Pay (S2P), Customer Service Management (CSM) e ITSM. • Desarrollo práctico en scripting de ServiceNow.

• Desarrollo y mantenimiento de aplicaciones utilizando Python • Colaboración con equipos técnicos y de diseño • Participación en la planificación de proyectos

• Diseña, desarrolla, implementa y mantiene aplicaciones impulsadas por IA • Toma posesión completa de los sistemas GenAI asignados y toma decisiones arquitectónicas • Colabora con ingenieros de soluciones y arquitectos para validar especificaciones de diseño técnico • Implementa patrones de orquestación de LLM • Mantiene canales de observabilidad para las plataformas de sistemas de IA

• Design, develop, and deploy machine learning solutions and feature engineering pipelines. • Configure, test, debug, deploy, document, and maintain ML pipelines, models and feature engineering modules while adhering to specific development best practices and quality standards. • Work closely with data scientists, data engineers, and solution architects to develop technical design specifications for ML programs, focusing on efficient feature engineering and model deployment. • Analyze large-scale datasets and validate the proposed ML solutions with both the architectural design and the business needs, ensuring model performance meets target metrics. • Responsible for troubleshooting and issue analysis across the ML stack, including feature pipelines, model training, inference, and model monitoring, as well as coding, testing, and implementing model enhancements. • Demonstrate a strong understanding of supervised, unsupervised, ensemble, and deep learning algorithms to design and implement effective ML solutions, with experience in feature engineering, model evaluation, and continuous performance optimization to meet business targets. • Implement and maintain MLOps practices including experiment tracking, model versioning, A/B testing, and automated retraining pipelines. • Thrive in a fast-paced agile development environment, driving iterative model improvements. • Implement and maintain data governance and model monitoring frameworks to ensure model reliability, fairness, and compliance with business standards. • Available to support/unblock planned model deployments and retraining cycles during off hours. • Contribute to the evolution of our ML architecture, with a focus on MLOps principles and emerging technologies for feature stores.

• Designs, codes, configures, tests, debugs, deploys, documents, and maintains web service applications using a variety of software development toolkits, testing/verification applications and other tools, while adhering to specific development best practices and quality standards. • Works closely with solution engineers and architects to develop technical design specifications from which programs will be written or configured. • Validates that proposed solutions align with architectural standards, non-functional requirements (performance, reliability, security), and business needs. • Takes end-to-end ownership of assigned microservices, including feature delivery, operational readiness, and production support. • Provides technical guidance across multiple codebases and platforms to unblock team members when needed. • Performs cross-platform analysis and trade-off assessments across our Android (Kotlin/Compose), iOS (Swift/MVVM), and UFE (Node.js/TypeScript) codebases to ensure consistency and identify optimization opportunities. • Responsible for troubleshooting and issue analysis, as well as coding, testing, and implementing software enhancements. • Ensures timely delivery of initiatives/features, proactively communicating risks, blockers, and schedule impacts, and driving resolution to maintain delivery commitments. • Demonstrates exceptional prioritization and multitasking skills to manage concurrent deliverables across services and platforms, handle operational requests, and resolve production issues effectively while supporting multiple workstreams. • Uses observability and monitoring tools (e.g., Splunk, Dynatrace, Grafana) to actively review dashboards, investigate anomalies, and monitor alerts—especially during planned deployments, HSE, and SSE. • Available to support/unblock planned deployments during off hours as needed.

• Work on both frontend and backend code • Design and implement end‑to‑end features • Build and consume APIs • Handle data access and persistence • Support cloud deployment and environments • Collaborate closely with product managers, architects, and QA leadership

• Translate concepts into user flows, wireframes, mockups and prototypes • Facilitate the client’s product vision by researching, conceiving, sketching • Design and deliver wireframes, user stories, and user journeys • Identify design problems and devise elegant solutions • Make strategic design decisions related to core features • Collaborate with other team members and stakeholders

• Data testing • Mobile testing • Test automation with Playwright / selenium testing