Desarrollador Full Stack 28 applicants
Develop and maintain end-to-end functionalities, ranging from data models to user interfaces. Participate in the technical development of microservices and decoupled architectures.
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Develop and maintain end-to-end functionalities, ranging from data models to user interfaces. Participate in the technical development of microservices and decoupled architectures.
The developer will be responsible for designing, building, and maintaining robust, secure, and scalable backend services and APIs. They will work within a microservices architecture, utilizing event-driven messaging to support the organization's technological infrastructure.
The Project Coordinator will conduct online research to collect information from public sources and enter it accurately into prescribed templates. They are responsible for verifying data quality, meeting project timelines, and maintaining confidentiality.
You will be responsible for researching, designing, building, and testing innovative solutions to real-world problems. You will either develop your own product idea into a venture or execute assigned technical challenges to deliver market-ready results.
The consultant will lead Salesforce DevOps and release management activities across enterprise environments. They are responsible for designing CI/CD pipelines and managing end-to-end deployments across various environments.
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The consultant will design and execute comprehensive test strategies for AI and GenAI applications, ensuring accuracy, safety, and performance. They will collaborate with cross-functional teams to implement automation frameworks and establish quality metrics for LLM-based solutions.
Develop and integrate responsive front-end interfaces with back-end services using Node.js, C#, and .NET Core. Maintain secure data flows, manage database schemas, and ensure code quality through automated testing and CI/CD pipelines.
Engage in live, natural video conversations in Bengali with other participants to provide data for AI model training. Discuss everyday topics to help AI models learn natural speech patterns, tone, and cultural nuances.
Engage in live, natural video conversations in Bengali with other participants to provide data for AI model training. Discuss everyday topics to help AI models learn natural speech patterns, tone, and cultural nuance.
Engage in live, natural video conversations in Bengali to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
Participate in live video conversations in Bengali to provide natural speech data for AI model training. Engage in everyday topics to help AI systems learn cultural nuances and natural dialogue patterns.
You will analyze, design, develop, and document RESTful services and APIs while ensuring database functionality. Additionally, you will write clean, maintainable object-oriented code and integrate data storage solutions within a self-testing paradigm.
Design and maintain scalable microservices while contributing to backend infrastructure and frontend React applications. Collaborate with cross-functional teams to lead technical discussions and implement secure identity and credential verification solutions.
Design, develop, and maintain full-stack web applications while managing the entire lifecycle from database schema to frontend UX. Collaborate directly with client stakeholders to translate requirements into technical solutions and provide ongoing post-launch support.
You will own and develop the LTV prediction algorithm by prototyping improvements in SQL and validating forecasts against actual data. Additionally, you will conduct end-to-end analytical research to provide actionable recommendations for Product, UA, and Finance teams.
The role involves administering and optimizing enterprise Big Data platforms and their underlying infrastructure using automation and AI-assisted tools. You will be responsible for managing Linux systems, databases, and containerized environments while ensuring high availability and performance.
Lead the end-to-end delivery of D365 F&O implementations, managing project lifecycles from discovery to post-go-live support. Define solution architecture, manage project financials, and mentor functional teams to ensure high-quality delivery and client satisfaction.
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Design, develop, and maintain custom Frappe apps and ERPNext functionality using Python and JavaScript. Collaborate with cross-functional teams to resolve issues, deploy solutions, and ensure system reliability.
You will architect and build multi-agent AI systems and RAG pipelines while owning the full-stack development lifecycle from UI to cloud deployment. You will collaborate with product owners to translate requirements into production-ready AI features with a focus on performance, cost, and reliability.
Develop, configure, and maintain enterprise application modules, integrations, and workflows to meet business requirements. Perform unit testing, defect fixing, and provide ongoing production support while adhering to technical and security standards.
The role involves designing, developing, and maintaining enterprise application components, integrations, and workflows to meet business requirements. It also includes performing code reviews, troubleshooting complex issues, and ensuring adherence to security and performance standards.
Lead end-to-end solution architecture for complex insurance transformation programs and define target-state technology roadmaps. Advise senior stakeholders on modernization strategies while supporting pre-sales, RFPs, and architecture governance.
The Principal Architect will lead the Architecture Center of Excellence to define technology strategy, standards, and modernization initiatives. They will partner with leadership to drive strategic technology decisions and mentor architects across the organization.
The Market Leader will define and execute the enterprise integration strategy while overseeing delivery excellence across complex, multi-system environments. This role involves driving business growth through pre-sales activities and providing technical leadership to mentor high-performing integration teams.
The Business Analyst will define business needs, lead discovery sessions, and translate requirements into clear software specifications. They will also contribute to AI-driven prototyping and collaborate with cross-functional teams to manage backlogs and project quality.
Provide technical support to customers through various channels while troubleshooting software, database, and integration issues. Manage support tickets according to SLA requirements and collaborate with Engineering teams to resolve complex technical incidents.
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You will own the AI architecture for a multi-market product roll-out, identifying and mitigating technical risks through hands-on proof-of-concept development. You will also collaborate with distributed teams to shape observability and integration standards for agentic systems.
You will build and deploy production-grade LLM-powered features, managing the entire lifecycle from development to continuous improvement. Your role involves designing agentic flows, ensuring answer quality through rigorous evaluation, and optimizing system performance and costs.
The consultant will configure and validate native integration points between Manhattan Active WM and Manhattan Active Omni. They are responsible for troubleshooting configuration issues and supporting the full implementation lifecycle from testing to production stabilization.
The Solution Engineer will act as the technical lead for SAP sales deals, managing discovery, demos, and solution design. They will own the scope and execution of proofs of concept while collaborating with internal engineering teams to address customer requirements.
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