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Vivo (Telefônica Brasil)

Customer Service Consultant

Vivo (Telefônica Brasil)

. Drive the evolution and modernization of corporate systems within the department .

Posted 11/4/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing Full Stack solutions, integrating systems and databases, and applying Artificial Intelligence and Machine Learning techniques to enhance operational processes. Proficient in designing data architectures and ensuring compliance with security and governance standards.

Highest-signal resume keywords
Full Stack DevelopmentNode.js Back-End DevelopmentReactJS Front-End DevelopmentMachine Learning TechniquesArtificial Intelligence Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Node.jsJavaScriptTypeScriptReactJSSQLPythonREST APIsMachine LearningNatural Language ProcessingData Architecture
Soft Skills
Analytical MindsetInnovative ThinkingCollaborative ApproachSolution-Oriented
Tools & Technologies
PandasNumPyScikit-LearnTensorFlowPyTorchGit
Industry Keywords
Enterprise SystemsData EngineeringGenerative Artificial IntelligenceLarge Language ModelsOperational Automation

Tech Stack

Tools & technologies
JavaScriptNode.jsNumpyPandasPythonPyTorchReactScikit-LearnSQLTensorflowTypeScript

About the role

Key responsibilities & impact
  • Drive the evolution and modernization of corporate systems within the department
  • Plan, develop, and implement new features for enterprise applications
  • Support and continuously improve business-critical applications
  • Develop Full Stack solutions using modern web technologies
  • Identify opportunities to apply Artificial Intelligence to operational processes and user journeys
  • Develop solutions that integrate systems, databases, APIs, and corporate information sources
  • Design data architectures for advanced analytics, automation, and intelligent models
  • Develop and implement solutions using Generative Artificial Intelligence, Intelligent Agents, and Natural Language models
  • Apply Machine Learning techniques to identify patterns, predict behavior, and generate recommendations
  • Conduct technical feasibility studies and define solutions to business challenges
  • Lead discovery, requirements gathering, and solution design in collaboration with partner departments
  • Develop automation solutions to eliminate manual activities and reduce operational effort
  • Develop integrations between internal systems, APIs, corporate services, and databases
  • Connect structured and unstructured data to generate knowledge and actionable insights
  • Ensure the availability, performance, stability, and quality of applications under your responsibility
  • Identify, analyze, and resolve systemic incidents and production issues
  • Ensure solution compliance with security, governance, privacy, and enterprise architecture requirements

Requirements

What you’ll need
  • Experience developing, supporting, and evolving enterprise systems
  • Experience in back-end development using Node.js, JavaScript, and TypeScript
  • Experience in front-end development using ReactJS
  • Experience developing and maintaining REST APIs and microservices
  • Experience gathering requirements and translating operational needs into technology solutions
  • Advanced knowledge of SQL, relational and non-relational data modeling, enterprise database integration, and data architecture
  • Knowledge of databases, stored procedures, views, functions, data modeling, and query optimization
  • Experience developing with Python, including Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, LangChain, or similar technologies
  • Experience integrating systems, APIs, enterprise platforms, and databases
  • Knowledge of data engineering and large-scale information processing
  • Experience automating operational and digital processes
  • Knowledge of Artificial Intelligence, Generative Artificial Intelligence, and Large Language Models (LLMs)
  • Experience with Natural Language Processing (NLP)
  • Knowledge of Machine Learning, predictive models, and applied statistical analysis
  • Knowledge of Git, version control, branches, merges, acceptance testing, and deployment processes
  • Experience analyzing incidents, troubleshooting, and supporting enterprise applications
  • Analytical, innovative, collaborative, and solution-oriented mindset
  • A completed bachelor’s degree in a related field is preferred
  • A postgraduate degree or MBA is preferred
  • Technical English proficiency for reading documentation, articles, and researching new technologies is preferred

Benefits

Comp & perks
  • Flexible digital benefits platform for employees and dependents, with categories including gym membership, meal vouchers, food vouchers, prescription assistance, medical and dental coverage, and life insurance
  • Company-issued mobile phone
  • Unlimited voice and data plan on Vivo’s 5G network
  • Special discounts on landline, broadband, TV, and app services
  • Annual bonus or Profit-Sharing Program (PPR)
  • Private pension plan
  • Subsidy for school, daycare, or babysitting expenses
  • Remote work up to two days per week
  • Flexible working hours
  • Birthday day off
  • Corporate volunteering program
  • Educational Development Program with discounts at educational institutions, as well as on certifications and online courses
  • Internal Recruitment Program
  • #VivoWellness Program, offering consultations with nutritionists and psychologists, social services, telemedicine, and other health initiatives
  • Positions available to people with disabilities and/or individuals who have completed rehabilitation programs