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Technical Leader - Latin America

Azumo

full-remoteleadpermanentengineering-managementbackend Buenos Aires Today via WWR

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Tags

Technical LeadershipScrumJavaPython.NETNode.jsAWSLinuxSQLREST APIs

About the role

Role Overview

Azumo is hiring a Technical Leader (Latin America) based in Latin America (located in Buenos Aires, Argentina). You will lead technical teams and help design and deliver scalable, high-performing software solutions across software engineering, data, and AI.

Responsibilities

  • Define architecture, deliverables, and timelines
  • Lead the team through Scrum to deliver valuable software solutions
  • Set team end goals, delegate tasks, and monitor execution
  • Collaborate to identify and fix technical problems
  • Supervise system modifications
  • Conduct security audits and drive improvements
  • Liaise with team members, management, and clients to ensure delivery to standard
  • Write progress reports and deliver presentations to stakeholders
  • Hire and train technical personnel

Requirements

  • BS or MS in Computer Science (or related field) or equivalent experience
  • 10+ years software development experience with Java, Python, .NET, JavaScript/Node.js, or data technologies
  • 7+ years experience leading development teams
  • English proficiency (C1/C2)
  • Deep expertise with Linux and hosted cloud environments (Heroku, AWS, App Engine, or others)
  • Practical experience with open-source technologies, including SQL and NoSQL databases
  • Experience integrating 3rd-party APIs (REST, OAuth, JSON)
  • Self-driven, strong work ethic, and passion for problem-solving
  • Strong background in backend development, data systems, or scalable software architecture

Nice to Haves / Additional Context

  • Experience relevant to AI software development, data engineering, and machine learning engineering (implied by the role scope)

About Azumo

Azumo is an innovative software development firm specializing in AI software development services. The company helps businesses build intelligent applications by combining data, cloud, and AI expertise, including generative AI, intelligent automation, and custom machine learning solutions. Its culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI.

Scraped 8/5/2026