Mid-level Fullstack Engineer (Remote) - Brazil
Design and implement scalable technical solutions to solve complex business problems. Maintain and monitor services while deploying frequent updates to ensure high-quality performance for customers.
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Design and implement scalable technical solutions to solve complex business problems. Maintain and monitor services while deploying frequent updates to ensure high-quality performance for customers.
You will spearhead the development of innovative AI-driven solutions and deploy scalable products leveraging LLMs to support the payment orchestration platform. Additionally, you will design and optimize prompts while collaborating with cross-functional teams to integrate AI features into existing payment workflows.
The Research Engineer will translate complex research hypotheses into tangible AI applications and build robust infrastructure for scientific experimentation. They will also lead scientific publications and collaborate across multidisciplinary teams to integrate theoretical research into practical business solutions.
The role involves leading technical strategy and execution for data science projects while mentoring team members. It also requires developing end-to-end AI models and acting as a bridge between technical teams and business stakeholders.
The developer will build and ship functional, AI-enabled applications in iterative cycles while working across the stack. They will collaborate with product and AI teams to transform complex government datasets into usable, reliable software solutions.
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Design, develop, and maintain applications and modules within the Ellucian Banner system while implementing integrations with other institutional systems. Lead technical projects, perform system upgrades, and provide advanced-level support for Banner-related incidents.
Lead and mentor a high-performing squad of engineers while fostering a culture of technical excellence. Architect complex back-end solutions and collaborate with stakeholders to align engineering efforts with business goals.
The Senior Data Engineer will manage the transition and modernization of client data platforms by developing ELT pipelines and implementing dbt-based transformation frameworks. They will also be responsible for monitoring production workflows, troubleshooting operational issues, and ensuring data quality through automated validation.
You will own end-to-end performance marketing campaigns and drive enterprise lead generation using AI-powered workflows. You will also be responsible for testing growth hypotheses and creating high-converting ad messaging.
Provide remote support for mission-critical SAP applications by troubleshooting, developing, and delivering fixes for complex integrated environments. Design and operate services on SAP BTP while ensuring system stability, performance optimization, and adherence to security compliance.
You will own the quality assurance process for a digital board game platform by testing releases across web, mobile, and Discord. This involves validating bug reports, monitoring production, and proactively improving QA workflows.
You will develop, configure, and implement scalable Order Management System solutions while collaborating with cross-functional teams to design complex workflows. Additionally, you will integrate OMS platforms with enterprise systems like ERP and CRM to ensure seamless order lifecycle management.
Design, build, and maintain scalable backend services for a global financial platform while integrating AI-powered features. Collaborate across cross-functional teams to ensure reliable, secure, and performant infrastructure for financial transactions.
Design, build, and maintain production-grade LLM integration pipelines and AI features within the core financial platform. Collaborate with cross-functional teams to deploy reliable, scalable AI models and ensure operational visibility through monitoring and instrumentation.
You will be responsible for managing the semantic data layer and ensuring data governance to provide consistent business logic across the company. Additionally, you will collaborate with stakeholders to translate business requirements into efficient dimensional models while leveraging AI to automate data processes.
You will work on a mix of client projects and internal research initiatives to solve real-world problems using machine learning. Additionally, you will contribute to AI alignment research and build data-driven solutions that increase agency.
Translate automotive and industrial safety and cybersecurity standards into actionable engineering requirements and gap analyses. Design and execute verification and validation activities to ensure Ubuntu meets the regulatory needs of industrial partners.
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Contributors will perform data annotation, evaluation, and prompt creation to support the development of human-centered AI. They will ensure content accuracy and relevance while maintaining high standards for AI training datasets.
The QA Automation Engineer will design and execute both manual and automated test suites to ensure the quality and reliability of digital commerce systems. They will collaborate with cross-functional teams to identify, track, and resolve defects throughout the software development lifecycle.
The Digital Analytics Engineer will design, implement, and manage digital measurement solutions, including event tracking frameworks and data pipelines. They will collaborate with marketing and engineering teams to ensure accurate data collection across web and mobile platforms.
You will serve as a strategic technical leader responsible for architecting foundational software systems and establishing architectural standards for Alpaca's financial infrastructure in the Middle East. The role involves leading complex multi-team initiatives, ensuring regulatory compliance, and coordinating infrastructure requirements with regional operations.
Develop, configure, and implement Fluent Commerce OMS solutions while integrating them with enterprise systems like ERP, CRM, and WMS. Collaborate with cross-functional teams to translate functional requirements into scalable, high-performance technical specifications.
Design and build high-performance visualization platforms and rendering systems for complex blockchain investigative interfaces. Develop reusable frontend infrastructure, SDKs, and libraries to enable data exploration at scale.
You will design and build scalable full-stack features and public APIs to support TRM's blockchain intelligence and AI platforms. You will also collaborate with cross-functional stakeholders to transform functional visions into tangible roadmaps and deliver impactful engineering solutions.
You will design, develop, and implement scalable eCommerce solutions using Commercetools across the full technology stack. You will also collaborate with cross-functional teams including product, design, and engineering to deliver high-quality digital commerce experiences.
The role involves developing and operating large-scale machine learning models to detect and prevent fraud throughout the entire lifecycle. You will build scalable data pipelines and collaborate with engineering and product teams to maintain system reliability in high-volume environments.
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You will build and maintain secure, dynamic web portals using ASP.NET Core and Razor Pages while implementing role-based access control. The role involves developing responsive interfaces and connecting front-end components with backend services and databases.
You will architect and evolve an internal developer platform to standardize workflows and infrastructure patterns while building self-service capabilities for engineers. Additionally, you will partner with cross-functional teams to improve CI/CD systems, enhance observability, and mentor staff to increase overall engineering velocity.
You will be responsible for structuring and optimizing SRE operations, including robust monitoring and automation of the technology stack. Additionally, you will lead incident resolution, implement AI-driven solutions, and ensure high availability and performance during peak demand.
You will lead a team of infrastructure and software engineers to manage and scale the company's data storage ecosystem. Your focus will be on building self-service tooling and 'storage-as-a-service' environments to improve developer velocity and operational efficiency.
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