26 Backend Engineer jobs in Argentina available for remote work from home. Apply for positions such as Senior Backend Engineer (Python & AI) - LATAM - 100% Remote, Software Engineer, Back-End - Mail (Latin America), DualEntry - Senior Staff Backend Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design, build, and maintain scalable backend services using Java and Python while managing distributed systems and data pipelines. Take full ownership of features throughout their lifecycle and collaborate with teams to implement AI-assisted development workflows.
Build and operate high-throughput production services that power AI agent orchestration, connector integrations, and real-time data pipelines. Collaborate with cross-functional teams to design core platform services and ship AI-powered features end to end.
Design and build backend systems and APIs to automate complex accounting logic. Manage the full software development lifecycle including architecture, testing, deployment, and integration with third-party systems.
Responsible for designing, implementing, and maintaining secure custodial systems for digital assets, smart contracts, and banking rails. The role involves leading medium-to-large cross-functional projects and mentoring other engineers to ensure high code quality and system resilience.
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Design, develop, and optimize scalable backend web applications and APIs using Node.js and Nest.js. Collaborate with cross-functional teams to handle the entire product lifecycle from concept to deployment for agricultural SaaS solutions.
Execute end-to-end technical integrations with external lodging and car partners while maintaining mission-critical services in Scala. Own the full development lifecycle of new features, from technical implementation and testing to production deployment in a distributed system.
Design and implement server-side applications and microservices using Python and SQL. Collaborate with cross-functional teams to integrate APIs and optimize relational and non-relational databases.
Design and develop backend services within a microservices ecosystem, focusing on subscriptions, loyalty, and financial calculations. Gradually transition into a technical leadership role by mentoring engineers and owning the Promo & Loyalty domain.
Design and build backend services, APIs, and data pipelines for Nexus's Layer 1 and native DEX. Maintain blockchain infrastructure components including RPC endpoints and explorers while contributing to technical architecture decisions.
Design and maintain backend services for real-time vehicle tracking, route optimization, and billing systems. Ensure platform reliability and observability through monitoring, alerting, and scalable data system modeling.
Take full technical ownership of designing, building, and operating critical platform domains and event-driven microservices. Responsible for service layers and data pipelines to provide critical telemetry for analytics.
Develop and maintain new and legacy modules for consumer and internal facing applications using Python and Django Rest Framework. Ensure application performance and quality while collaborating with cross-functional teams to design new functionality.
Design and implement the backend infrastructure for Model Context Protocol (MCP) server components to enable tool-use and agent orchestration. Collaborate with a technical lead to integrate these AI layers into an existing Java and SQL Server production stack.
Design, build, and maintain scalable backend services and distributed systems using Java and Python. Take full ownership of features from design to optimization while leveraging AI-assisted tools to accelerate delivery.
Lead the migration of a monolithic database to multiple domain-specific data stores within Google Cloud Platform. Implement complex data operations including backfills, data mapping, and Change Data Capture using Datastream and Dataflow.
The role involves developing and maintaining backend services and APIs primarily using Python, alongside writing efficient SQL queries for relational databases. Responsibilities also include debugging, testing applications in Linux environments, and contributing to code modernization efforts.
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The role involves developing and maintaining robust, scalable backend applications, primarily focusing on building REST APIs and designing automated workflows using tools like Apache Airflow. Responsibilities also include thorough documentation of code and technical processes.
The main responsibilities include developing and maintaining robust, scalable backend applications, specifically focusing on building REST APIs and designing/managing automated workflows using Apache Airflow. The role also requires thorough documentation of code and technical processes.
The engineer will own and evolve the LLM orchestration pipeline, focusing on designing and optimizing the multi-agent system, implementing parallelization, and building robust prompt management features. Key tasks also involve designing Retrieval-Augmented Generation (RAG) systems and developing production-ready APIs for AI capabilities.
Design and implement backend services and APIs for external developers. Ensure reliability, observability, and security of services in production.
As a Principal Backend Engineer, you will build new features for the REST API and enhance the AWS infrastructure. You will work with cross-functional teams to implement new features and optimize application performance.
Lead technical analysis and define functional specifications using an SDD and BDD approach within autonomous squads. Design and develop resilient, event-driven backend architectures while fostering collaboration with product, UX, and frontend teams.
Develop and maintain core technical services for CCaaS telephony, focusing on call routing and media stream handling. Optimize and refactor the codebase to enable faster feature delivery and support the introduction of Telephony as a Service.
Design, build, and operate distributed backend systems for recommendations and AI workflows while hardening infrastructure on AWS and Kubernetes. You will also focus on improving system reliability, observability, and scalability while mentoring team members on backend practices.
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