Remote (preferably in Argentina) We are seeking a skilled Full Stack Developer with a strong focus on Java to join our dynamic team at Tangonet Solutions. This is a remote position open exclusively to candidates based in Argentina.
Responsibilities Build and evolve GraphQL APIs that support scalable client and server interactions Maintain multiple production systems through debugging, monitoring, and operational support Ensure services meet SLAs by improving reliability, incident response, and runbooks Evaluate and
Remote (preferably in Argentina) We are seeking a skilled Full Stack Developer with a strong focus on Java to join our dynamic team at Tangonet Solutions. This is a remote position open exclusively to candidates based in Argentina.
THE PROFESSIONAL MUST BE BASED IN ARGENTINA OKTOPAYMENTS continuous growth demands high-caliber candidates who embody professionalism, passion, and creativity. For those who join us, we offer significant career advancement, stimulating challenges, and a clear runway for
N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global
Overview We are building an Agent-to-Agent Communication and Transactional Network that enables AI agents, people, and businesses to securely communicate, coordinate, verify identity, and transact. As Head of Technology, you will lead the technical vision, architecture,
We are building AI capabilities into the full SDLC and need an AI Engineering Manage r to lead hands-on delivery at scale. You will embed LLM tooling into engineering workflows, ship production services and integrations, and
We are building AI capabilities into the full SDLC and need an AI Engineering Manage r to lead hands-on delivery at scale. You will embed LLM tooling into engineering workflows, ship production services and integrations, and
We are looking for a Lead AI Software Engineer to embed AI-driven capabilities into the SDLC and scale their use across engineering teams. You will engineer integrations, automation, and enablement for LLM-based tooling across workflows like