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Java Developer Microservicios | Teletrabajo
Build and maintain Java microservices using Spring Boot, hexagonal architecture, and Kubernetes, optimizing performance and integrating async messaging systems.
Backend Developer - Remoto
Develops and maintains a Node.js/NestJS-based CRM/ERP for automating vehicle sales, including API integrations, PostgreSQL optimizations, and scalable architectures with E2E testing.
Backend Developer
Builds and maintains a Node.js/NestJS-based CRM/ERP system for automating vehicle sales, focusing on PostgreSQL, APIs, and scalable microservices with clean code principles.
Mid Java developer - Hybrid Madrid
Mid-level Java developer building and maintaining enterprise-grade applications, integrating RESTful services, and ensuring software quality through testing in a hybrid Madrid role.
Desarrollador Backend Middle (Java)
This role involves developing and maintaining backend applications using Java 17+, Spring Boot, and microservices architectures. The developer will work on API design, Kafka integration, and CI/CD pipelines while leveraging AI tools to support system migrations and deployments.
Head of DevOps, Platform as a Service
Lead a new DevOps chapter to build a secure, self-service PaaS for iGaming teams, owning private cloud infrastructure, CI/CD pipelines, and observability while scaling the team to 5-10 engineers.
Sr. Software Engineer
Senior software engineer building scalable, real-time ad-verification systems at massive scale using cloud-native tech, stream processing, and distributed caches.
Staff AI Data Engineer (x/f/m)
Build and maintain AI-powered data pipelines for healthcare AI systems, ensuring data quality, privacy, and scalability using Python, Dagster, BigQuery, and GCP.
Solutions Engineer
Solutions Engineer at a fast-growing FinTech firm, bridging partner needs and the Insignis platform by rapidly prototyping and hardening integrations, flows, and tools while ensuring regulatory compliance and smooth handoffs to production teams.
Staff Software Engineer-Backend
Lead backend architecture for Cameo’s platform, designing scalable Node.js services, event-driven systems, and AI-powered features to connect fans with talent.
Lead Software Engineer – AI-Native Applications
Lead Software Engineer building AI-native enterprise applications for IFS's Enterprise Asset Management team, using Go, TypeScript, DDD, and event-driven architecture to integrate LLM capabilities into production software.
Senior Data Scientist - MTS (m/f/d)
Develops AI-driven predictive models and algorithms for sportsbook risk management and odds trading, leveraging sports data, betting transactions, and user interactions to improve product performance.
Data Platform Engineer (Kafka/Streaming)
Builds and maintains real-time data pipelines using Apache Kafka, Kafka Streams, and kSQL, while designing GraphQL services and optimizing document schemas for a scalable data platform.
Backend Developer
Build and maintain scalable backend services for a sports-data platform using Java, Spring Boot, and event-driven systems like Kafka.
Senior Network Engineer
Designs, maintains, and secures Takealot’s global network infrastructure (LAN/WAN/wireless) using Cisco/Huawei/Huawei tech, Fortinet firewalls, and SD-WAN, while troubleshooting complex issues and mentoring junior engineers.
Backend Software Engineer, AI Infrastructure for SDLC - Engineering Efficiency
Builds and optimizes AI-driven tools to streamline software development lifecycle (SDLC) processes, including CI/CD pipelines, backend services, and AI/ML workflows for engineering efficiency.
SOFTWARE DEVELOPER SPECIALIST (Java) - Time de Engenharia de Produtos de Crédito
Senior Java backend engineer building and scaling credit-product microservices for a digital bank, using Java 17, Spring Boot, Kafka, and AWS.
Software Engineer - Fullstack
Build and scale a cloud-native payment orchestration platform using React, Node.js, and AWS, integrating with payment providers like Stripe and Worldpay.
Crew Data Solutions Analyst
The Crew Data Solutions Analyst designs and maintains scalable data pipelines and platforms to support analytics and operational decision-making for Air Canada. The role involves transforming raw data into governed assets using technologies like SQL, Python, Spark, and cloud-based data services.