• Collaborate with senior leadership and cross-functional stakeholders to design and deliver subsystems and product features aligned with strategic objectives. • Take ownership of defined subsystems or feature areas, contributing across the full development lifecycle from concept and build through testing and deployment. • Ensure solutions adhere to established engineering standards, best practices, and quality guidelines. • Participate in code reviews and quality assurance activities to maintain code quality, reliability, and consistency. • Contribute to technical documentation and knowledge sharing to support long-term maintainability and onboarding. • Build and support backend services in Kotlin to support a web UI and a set of remote gateways. • Design APIs and data flows with an emphasis on reliability, security, and clarity. • Contribute to pragmatic architectural decisions and help shape backend patterns and standards. • Work with healthcare standards and integrations, including DICOM and HL7.

• Desenvolver uma estratégia de médio e longo prazo para a evolução da arquitetura do produto. • Mentorar pessoas desenvolvedoras, promovendo o crescimento e desenvolvimento do time. • Projetar soluções escaláveis, seguras e de fácil manutenção; • Escrever código de alta qualidade, seguindo boas práticas e padrões; • Revisar código (code review) garantindo qualidade, performance e legibilidade; • Identificar e resolver problemas complexos (bugs críticos, gargalos de performance, falhas de arquitetura); • Escolher e avaliar tecnologias, frameworks e ferramentas; • Colaborar na criação de um roadmap técnico em conjunto com a área de produto.

• Develop and maintain connectivity services supporting multiple protocols: MQTT, OPC, REST, Kafka, and others • Implement and manage OPC UA Server functionality • Ensure reliable data ingestion from diverse sources and systems • Transform data from any format to platform-native format • Handle data calculations, unit conversions, and calculation chaining • Develop data analysis and alarming subsystems • Build and maintain trending and historical data subsystems • Develop executor for user-defined Python scripts and SQL queries • Build and maintain service that handles and executes user-defined workflows and rule chains • Enable user customization and extensibility through scripting capabilities • Develop and maintain email notification infrastructure • Implement multiple messaging services including Slack, Google Chat, SMS, and others • Ensure reliable, timely delivery of notifications across channels • Develop and maintain authentication services • Second-Factor Security: Implement TOTP (Time-based One-Time Password) and other security measures • Ensure platform security and user data protection • Participate in architecture decisions with the development team • Contribute to functionality design and technical planning • Lead feature design from technical perspective • Provide ongoing support for deployed services and troubleshooting • Collaborate with frontend, QA, and product teams on feature development

• Architect and manage Databricks clusters, workspaces, and integrations with cloud services (Azure/AWS/GCP). • Implement CI/CD pipelines for Databricks notebooks and jobs. • Optimize cluster configurations for cost and performance. • Ensure compliance with security and governance standards. • Collaborate with data engineers and scientists to support data pipelines and ML workflows. • Conduct ETL and data quality analysis using various technologies (i.e., Python, Databricks). • Maintain good working relationships with accounts/clients to enhance customer satisfaction. • Ensure data governance and quality assurance standards are met. • Organize and lead meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following up on action items. • Summarize and present information and reports to the team and make recommendations (both oral and written).