Top Tech Jobs & Startup Jobs

Design and lead implementation of scalable back-end integrations for retail using .NET and cloud. Produce architecture documentation, define SOA and API strategies (SOAP/REST), collaborate with stakeholders and distributed teams, review implementations for performance and security, recommend tools, and mentor development teams.

Lead design and implementation of scalable back-end system integrations for retail, produce technical specifications and architectural artifacts, guide development teams on SOAP/REST APIs and SOA, recommend tools and cloud deployment strategies, and ensure reliability, security, and performance across integrations.

Lead design, implementation, testing, deployment, and maintenance of complex Java/J2EE applications. Modernize legacy systems, manage technical debt, provide production incident response and root-cause analysis, enforce coding standards, conduct code reviews, and communicate technical updates to stakeholders.

Design, build, and optimize semantic Tableau data models, dashboards, reports, and datasets. Integrate and validate Databricks data pipelines, maintain data ingestion from APIs and databases, lead Looker-to-Databricks+Tableau migration, ensure data governance, performance, and security, and collaborate with stakeholders to translate business needs into scalable BI solutions.

Design and maintain scalable Python backends, integrate generative AI (LLMs, RAG, fine-tuning) into client products, communicate with clients, ensure code quality, and document services.

Lead integration of Salesforce Service Cloud and AWS Connect to build omni-channel support: design contact flows, telephony-CRM integrations, full-stack React/Node.js apps, AWS Lambda routing, AI chatbots, and technical governance while mentoring teams and collaborating with US stakeholders.

Lead a cross-functional Agile team as Product Owner: prioritize and manage the backlog, translate business needs into user stories and acceptance criteria, coordinate with engineering and stakeholders, manage dependencies and risks, and drive delivery while improving product and delivery practices in a hybrid São Paulo environment.

Design, build, and maintain scalable ETL/ELT pipelines and cloud-native Data Lake/Warehouse solutions on Azure. Implement data integration, quality, governance, dimensional models (SCD1/2), Python-based automations, CI/CD, and monitoring. Collaborate with international stakeholders to optimize performance, enable analytics, and support FinOps and deployment for enterprise data platforms.

Lead design, implementation, troubleshooting, and incident response for complex software systems. Provide architecture input, enforce coding/testing standards, drive performance and observability, mentor engineers, support hiring, and manage client-facing technical delivery and release processes to ensure scalable, high-quality solutions.

Design and deliver cloud-native, enterprise-grade microservices and REST APIs using Java and Python on Azure. Leverage Databricks, Spark, and Delta Lake, containerization (Docker/Kubernetes), CI/CD and DevOps practices. Apply AI tools to automate engineering workflows, improve code quality, mentor teams, and collaborate with stakeholders across onsite/offshore teams.