ESPECIALISTA SISTEMAS
Develop and evolve SAP solutions using ABAP, focusing on integrations between SAP and non-SAP systems. Participate in digital transformation projects and the migration from SAP ECC to S/4HANA 2023.
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Develop and evolve SAP solutions using ABAP, focusing on integrations between SAP and non-SAP systems. Participate in digital transformation projects and the migration from SAP ECC to S/4HANA 2023.
Lead end-to-end AI tasks and guide the engineering team's architecture to improve scalability and stability. Collaborate with product teams to translate business needs into efficient, maintainable, and creative technical solutions.
Represent end-to-end business processes within the IT Foundation Program, focusing on test scenario creation, execution, and validation. Act as a bridge between IT and business teams to manage training, data migration, and risk mapping.
Represent end-to-end business processes within the IT Foundation Program, focusing on test scenario creation, execution, and defect resolution. Act as a bridge between IT and business teams to manage training, data validation for cutover, and stakeholder communication.
Lead the design and implementation of scalable back-end software solutions focused on system integration within retail environments. Collaborate with multicultural stakeholders to translate requirements into technical specifications and architectural documentation.
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Manage a portfolio of clients to ensure loyalty and satisfaction while identifying upselling and cross-selling opportunities. Collaborate with internal teams to resolve client issues and provide regular status updates to management.
Own production reliability and troubleshoot a high-scale live hiring events platform serving enterprise clients. Collaborate with Client Support and GTM teams to resolve issues and maintain SLA compliance across distributed backend systems.
Design and build scalable automation and self-service experiences to streamline customer onboarding and operational workflows. Apply AI technologies and systems thinking to reduce operational complexity and improve growth-related process efficiency.
Responsible for site management, monitoring, and close-out of clinical trials to ensure patient safety and quality execution. Acts as the primary point of contact for investigator sites and ensures compliance with GCP and client standards.
The Sr. TMF Lead provides expert oversight of Trial Master Files for complex programs to ensure quality, compliance, and continuous inspection readiness. This includes aligning sponsor requirements with CRO processes and mentoring TMF staff from study start-up through close-out.
Lead the day-to-day operational oversight of the Clinical Monitoring unit to ensure high-quality clinical trial execution. Manage staff, contractors, and third-party providers while partnering with sponsors and researchers to maintain regulatory compliance.
Develop and maintain scalable data pipelines and ETL/ELT processes to ensure high-performance data integration. Collaborate with multidisciplinary teams to optimize cloud data architectures and ensure data governance and quality.
Monitor critical production systems and act as the primary technical responder for live incidents and escalations. Focus on improving platform reliability through automation, runbook refinement, and collaboration with engineering teams.
Own the manual verification of end-to-end user workflows for a high-traffic SaaS platform. Act as a critical triage unit to diagnose production anomalies and translate them into technical tickets for engineering.
Design and develop high-quality online technical training and multimedia assets for Motorola Solutions' product portfolios. Collaborate with subject matter experts to translate complex technical concepts into interactive, performance-focused learning experiences.
Responsible for creating solution architecture designs aligned with corporate strategy and managing the portfolio of architecture standards. The role involves translating business demands into technical solutions while ensuring security, reuse, and scalability.
Architect and deploy LLM-powered pipelines to automate complex clinical decision workflows in healthcare. Build backend services in Python and manage integrations with enterprise health systems while ensuring compliance and reliability.
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Develop full-stack AI prototypes and intelligent applications using LLMs and frameworks like LangChain. Create AI assistants and integrate external tools via Model Context Protocol to execute real-world tasks.
Manage sales growth and profitability for the commercial section while ensuring product availability through rigorous inventory and rupture management. Lead and motivate the team through daily briefings, quarterly feedback, and professional development training.
Collaborate with product, design, and data teams to transform market insights into scalable technological solutions for micro and small businesses. Lead high-impact projects from prototype design to production instrumentation, ensuring high performance and maintainability.
Lead the end-to-end deployment lifecycle of enterprise voice AI integrations from configuration to production. Serve as the primary technical contact for major accounts, managing architecture, troubleshooting, and system reliability.
Host live Q&A sessions, lead lessons on core program topics, and provide personalized 1:1 support to students. Review student projects and provide actionable feedback to help them master QA Engineering.
The Solution Architect will act as a bridge between business and technology, translating business needs into scalable and data-driven solutions. They will lead architectural discussions and define high-level technical direction for data solutions and system integrations.
Act as the primary strategic partner for enterprise customers post-sale to ensure successful implementation and value realization of AI-driven decision-making. Coordinate cross-functional teams to translate complex business problems into product configurations and identify opportunities for account expansion.
Build and maintain scalable full-stack applications and APIs using TypeScript, Node.js, and React for a mental healthcare platform. Own features from concept to production while collaborating with cross-functional teams to improve system performance and reliability.
Build, validate, and deploy statistical and machine learning models including anomaly detection and generative AI. Collaborate with cross-functional teams to translate strategic business questions into scalable, production-ready data solutions.
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Design and scale backend services using Java and Spring Boot while maintaining multiple React-based frontends for a live recruitment platform. Triage production issues dynamically and manage event-driven messaging workflows using Kafka and GraphQL.
The Support Engineer will own the end-to-end technical customer support experience, troubleshooting complex issues across an API-driven platform. They will collaborate with engineering teams to resolve bugs and create documentation to improve client self-sufficiency.
Develop risk models and analytical solutions to optimize credit granting within the agribusiness sector. Act as a technical lead to define analytical architecture, standards, and pipelines while bridging the gap between business and engineering teams.
Manage and coordinate customer complaint cases from initiation to resolution, serving as the primary point of contact. Collaborate with internal business units and international teams to resolve issues and improve product quality.
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