Developer Analyst

Lenovo; São Paulo; Presencial; BRL 150 000 - 230 000; Tempo integral

Resumo da oferta

Lenovo Brasil is seeking a versatile Back-End/Full-Stack Developer to design, develop, and maintain scalable applications supporting enterprise platforms and digital service delivery. You will contribute across the full stack, emphasizing reliability, security, and performance.

You will work across REST APIs, system integrations, automation, and cloud technologies (AWS/Azure), collaborating with cross‑functional teams to deliver production‑ready solutions that improve IT operations, user

Qualificações

• Proven experience as Back-End, Front-End, or Full-Stack developer.
• Experience building APIs, integrations, automation, and cloud apps.
• Experience with AI, data analytics, or intelligent automation preferred.

Responsabilidades

• Design, develop, and maintain scalable back-end services, APIs, and system integrations across enterprise platforms.
• Build and enhance front-end applications, self-service portals, chatbots, and dashboards.
• Develop automation workflows and scripts using Python, PowerShell, and low-code platforms.

Conhecimentos

Back-End Development

Front-End Development

Full-Stack Development

API design

Cloud fundamentals

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

ServiceNow

AWS

Azure

Intune

SCCM

Descrição da oferta de emprego

Design, develop, and maintain scalable back-end, front-end, and full-stack applications that enable modern digital service delivery. This role focuses on enterprise platforms, automation, cloud technologies, and integrations to improve IT operations, user experience, and business efficiency.

Key Responsibilities

• Design, develop, and maintain scalable back-end services, APIs, and system integrations across enterprise platforms such as ServiceNow, AWS, and Microsoft technologies.
• Build and enhance front-end applications, self-service portals, chatbots, and operational dashboards.
• Develop automation workflows and scripts using technologies such as Python, PowerShell, and low-code platforms.
• Integrate applications with ITSM, endpoint management, and enterprise systems (e.g., ServiceNow, Intune, SCCM).
• Collaborate with cross-functional teams to design, deploy, and support production-ready solutions.
• Ensure application quality, security, scalability, and performance through testing, monitoring, and continuous improvement.
• Support the development of automation, AI, and digital workflow initiatives that improve operational efficiency and user experience.
• Strong software development experience in back-end, front-end, or full-stack technologies.
• Experience designing and consuming REST APIs, system integrations, and microservices.
• Understanding of cloud platforms such as AWS or Azure and enterprise application architecture.
• Knowledge of data engineering concepts, including ETL processes, data pipelines, and cloud data ecosystems.
• Familiarity with monitoring, observability, and analytics tools.
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills in cross-functional environments.

Key Performance Indicators (KPIs)

• Delivery of software enhancements and projects within agreed timelines.
• Application performance, reliability, and availability.
• Quality and adoption of automation solutions.
• API and integration reliability.
• User satisfaction and platform adoption.
• Code quality, security, and compliance with development standards.

Candidate Requirements

Experience

• Proven experience as a Back-End, Front-End, or Full-Stack Developer in an enterprise environment.
• Experience building APIs, integrations, automation solutions, and cloud-based applications.
• Experience with AI, data analytics, or intelligent automation solutions is preferred.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

Preferred Certifications.

• Cloud certifications (AWS, Microsoft Azure, Google Cloud)
• AI/ML or Data Science certifications
• ServiceNow certifications (where applicable)
• Relevant software development or automation certifications