Top Remote Jobs in Fortaleza

Drive Qompyl’s growth from beta through launch by managing acquisition funnels, organic and paid channels, lifecycle programs, experimentation, analytics, community, referrals, and partnerships. Identify performance gaps, optimize conversion and retention, and provide actionable recommendations. The role requires financial-markets fluency to market effectively to self-directed traders and investors, plus hands-on execution in an early-stage environment.

Apoya la planificación y el análisis financiero regional mediante presupuestos, proyecciones y seguimiento del desempeño. Analiza tendencias financieras, prepara información para decisiones estratégicas y colabora con las partes interesadas para comprender sus necesidades. El puesto requiere habilidades sólidas de análisis y planificación financiera, comunicación y presentación, además de un título universitario, inglés avanzado y más de un año de experiencia en análisis financiero.

Develop and execute localized digital marketing campaigns for Brazil and LATAM, adapting global messaging to regional cultural, linguistic, and medical education contexts. Manage CRM, paid social, SEM, SEO, and organic social channels, including Meta and WhatsApp. Monitor acquisition, activation, and retention funnels, optimize campaigns using available data, manage projects end to end, and collaborate with global teams to build scalable regional marketing practices.

Designs and operates highly available Azure and AKS infrastructure, Terraform modules, CI/CD pipelines, observability, security controls, and multi-region disaster recovery. Troubleshoots complex infrastructure issues across compute, networking, identity, and data layers while collaborating with application engineers to establish operational standards. The role is fully remote and requires advanced production experience with Azure, Kubernetes, Terraform, cloud security, and resilient systems.

Build and operate highly available, performant, secure cloud services and infrastructure. Responsibilities include monitoring application and infrastructure health, optimizing microservices, capacity planning, configuration management, performance tuning, root cause analysis, automation, debugging, and participation in 12x7 on-call rotations. The role partners with development and product teams and leads cross-functional delivery of complex software features and solutions.

Develop, train, evaluate, and optimize ML solutions and data pipelines; translate business requirements into production-ready ML code; perform feature engineering, model selection, and evaluation; document work, participate in code reviews, and support testing and data issue resolution.

Build responsive web applications and scalable frontend/backend services, design secure APIs and databases, implement AI-powered search and asset management features, collaborate on system architecture, and optimize performance and UX for a cloud-native DAM platform.

Lead a small engineering team while remaining hands-on across Laravel/PHP backend and React frontend development. Own the asynchronous AI processing pipeline, AWS infrastructure, reliability, observability, and cost optimization. Manage SOC 2 compliance activities, mentor engineers, guide architecture, contribute to product decisions, and build integrations involving ATS data and OpenAI APIs. The role requires expertise in queues, retries, idempotency, non-deterministic AI outputs, and production operations.

Build and maintain automated test coverage, improve testing frameworks, integrate automated tests into CI/CD pipelines, troubleshoot defects, verify fixes, and collaborate with engineering, product, and quality teams. The role also involves writing and testing product code, participating in design reviews, improving system testability, and applying AI-assisted tools and LLMs to accelerate test creation and maintenance.

Conduct exploratory analysis, statistical modeling, experimentation, forecasting, and machine learning for marketplace and pricing systems. Analyze supply, demand, elasticity, conversion, and pricing behavior; build predictive models; improve data quality and analytical foundations; contribute to production ML; and communicate actionable recommendations to Product, Engineering, Pricing, and business stakeholders.