Role Description If you enjoy rolling up your sleeves to configure and deliver Microsoft 365 and AI-powered workplace solutions, the Modern Workplace Senior Solutions Engineer role is an ideal next step. You’ll work hands-on across Microsoft 365 Copilot, SharePoint, Teams, and OneDrive—implementing the designs created by our architects, supporting client environments, and building the depth of technical experience that prepares you for an architect-level career. This role is well suited for Microsoft 365 engineers and administrators who want to move beyond day-to-day operations into project-based delivery, broaden their exposure to enterprise Copilot and AI adoption, and grow toward an Architect I position within Insight’s Modern Workplace practice. You will get to: - Solution Implementation & Delivery - Configure, customize, and deploy Microsoft 365 workloads—including M365 Copilot, SharePoint Online, Microsoft Teams, and OneDrive for Business—based on architect-approved designs. - Execute tenant configurations, policy setup, and migration tasks across client and internal environments. - Develop and maintain implementation documentation, runbooks, and configuration guides. - Partner with architects to validate designs against real-world tenant constraints and surface gaps early. - Collaboration & Support - Support client workshops, discovery sessions, and project kickoffs as a hands-on technical resource. - Work alongside IT, security, and adoption stakeholders to ensure deployments align with governance, compliance, and performance standards. - Contribute to user enablement materials, knowledge transfer sessions, and end-user training assets. - Provide escalation support for complex M365 issues encountered during delivery. - Operations & Continuous Improvement - Troubleshoot and resolve issues across Microsoft 365 workloads, integrations, and Copilot enablement. - Monitor service health, usage telemetry, and adoption signals to identify improvement opportunities. - Stay current with the Microsoft 365 roadmap, new feature releases, and evolving best practices—especially around AI and Copilot. - Continuously build technical depth while developing the consulting and architectural mindset needed for the next career step. This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career. Qualifications - Bachelor’s degree in Information Technology, Computer Science, or a related field (or equivalent practical experience). - 2–4 years of hands-on experience administering, engineering, or supporting Microsoft 365 environments. - Solid working knowledge of Microsoft 365 administration, identity, and security fundamentals. - SharePoint Online (site provisioning, permissions, content management). - Microsoft Teams (configuration, policies, lifecycle, meeting and collaboration features). - OneDrive for Business (sync, sharing, retention, and storage controls). - Exposure to Microsoft 365 Copilot—licensing, readiness, deployment, and basic governance concepts. - Familiarity with PowerShell or Graph for M365 administration and bulk operations. - Experience with Power Platform (Power Automate, Power Apps) and/or Microsoft Purview. - Awareness of compliance, data protection, and information governance concepts in M365. - Relevant Microsoft certifications (e.g., MS-900, MS-700, SC-400, or MS-102). - Prior client-facing or consulting experience in a Microsoft partner or services organization. Company Description Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you! Insight does not accept unsolicited resumes from recruiters or employment agencies. Unsolicited resumes will be treated as direct applications from the candidate, and recruiters or agencies who submit candidates for this position without a prior, written vendor agreement will not be eligible for any form of compensation, even if the candidate is hired. The position described above provides a summary of some of the job duties required and what it would be like to work at Insight.

• Apoiar na interpretação de documentação e descrição de tarefas; • Apoiar na escrita de códigos seguindo as boas práticas de programação definidos pela empresa; • Apoiar no desenvolvimento de softwares com conceitos básicos de orientação a objetos, aplicando técnicas de engenharia de software; • Apoiar na implementação componentes/interfaces gráficas seguindo modelos definidos; • Apoiar na escrita de testes unitários automatizados e de integração e aceitação; • Utilizar repositório de código para controle de versão.

• Support application design, development, and testing • Assist with troubleshooting application-specific issues • Learn business requirements with functional teams • Create and maintain technical documentation • Communicate effectively with team members • Participate in Agile Scrum meetings and sprint activities • Assist in diagnosing and resolving application and system issues • Support incident reviews and documentation • Assist with sprint and release deliveries • Provide application and technical production support

• Projetar e desenvolver a próxima geração da plataforma de ingestão de dados da companhia. • Definir e evoluir a arquitetura de ingestão de dados orientada por IA (Inteligência Artificial). • Construir e manter pipelines de ingestão inteligentes (ETL/ELT), escaláveis, reutilizáveis e resilientes. • Incorporar agentes de IA para automação, orquestração e validação inteligente dos dados. • Desenvolver soluções baseadas em RAG (Retrieval-Augmented Generation), embeddings e busca vetorial. • Integrar múltiplas fontes de dados: APIs, bancos de dados, eventos, SaaS e arquivos (estruturados e não estruturados). • Atuar com processamento de dados batch e streaming em larga escala. • Garantir qualidade, confiabilidade, governança e observabilidade dos dados. • Aplicar técnicas de detecção de anomalias e validação inteligente dos pipelines. • Automatizar processos de integração e operação de dados. • Estabelecer boas práticas, padrões e guidelines para ingestão de dados e Data Platforms. • Colaborar de forma próxima com times de Engenharia, Analytics, Ciência de Dados, Produto e Negócio. • Desenvolver soluções de alto impacto para o negócio, com autonomia e protagonismo técnico.