• Lead the onboarding, implementation, and management of enterprise data protection solutions across a diverse client base • Ensure backup, recovery, ransomware protection, and disaster recovery solutions meet customer business and security requirements in a managed services environment • Onboard, deploy, and manage backup, recovery, and data protection solutions across on-premises, cloud, and hybrid environments • Serve as the subject matter expert and escalation point for data protection technologies and best practices • Lead data recovery efforts for incidents including ransomware, corruption, and system failures • Develop and maintain disaster recovery and business continuity solutions aligned to RPO and RTO objectives • Assess customer environments for risk, compliance, and optimization opportunities • Automate monitoring, reporting, and remediation workflows • Collaborate with infrastructure, cloud, and security teams • Support pre-sales activities including solution and technical scoping • Maintain documentation, runbooks, and operational procedures • Assist with incident audits, on-call escalations, and provide technical leadership

• Liderança de Arquitetura: Tomada de decisão técnica em stacks ecléticas (Go, Java e Mendix) e escalabilidade em Cloud OCI. • Mão na Massa Estratégica: Atuação consultiva, code reviews críticos e resolução de gargalos de performance. • Ponte de Negócio: Ser o elo entre Produto e Engenharia para viabilizar serviços financeiros de alto impacto. • Desenvolvimento de Pessoas: Disseminar boas práticas e elevar a barra de qualidade do time através de mentoria.

• Develop and enhance full stack applications using Java, React, and JavaScript. • Create APIs and microservices running on AWS. • Design and implement integrations, distributed services, and asynchronous workflows. • Participate in architecture and engineering decisions, including microservices. • Maintain and evolve serverless services (AWS Lambda, API Gateway, SQS, SNS, Step Functions). • Work with Infrastructure as Code using SST, Terraform, or similar tools. • Perform troubleshooting by analyzing logs and monitoring. • Build integrations with CRMs, financial systems, healthcare partners, and insurers.

• Designing, developing, and maintaining software applications that handle and process large volumes of data • Collaborating with cross-functional teams to understand data requirements and develop software solutions that effectively integrate and utilize data • Building and optimizing data models and databases for performance and efficiency • Writing code to extract, transform, and load data from various sources into data warehouses or data lakes • Implementing data quality checks and data governance processes to ensure data accuracy and consistency • Troubleshooting and resolving software and data-related issues • Working with big data technologies such as Hadoop, Spark, and Kafka • Conducting performance testing and optimization of software applications that handle large datasets