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Senior Python Developer – Integration & AI Services

Devsu

Nouveau Remote
Remote Senior 🇬🇧 English
Python REST APIs Enterprise integration patterns Event-driven architecture Service-oriented architecture Automated testing CI/CD Code review Production troubleshooting Databricks Cloud platforms

Description du poste

About the role

We are seeking a Senior Application Engineer to design, develop, and support integration services, APIs, middleware, and automation capabilities that enable AI‑powered business solutions. The role focuses on building scalable enterprise integrations and connectors that allow AI agents and business applications to interact securely with internal and external systems.

Key responsibilities

  • Design, develop, test, deploy, and troubleshoot production REST APIs and integration services.
  • Build and enhance Model Context Protocol (MCP) connectors and enterprise integration frameworks.
  • Develop middleware services linking AI platforms with enterprise applications and data sources.
  • Create automation capabilities that streamline business processes and AI‑assisted workflows.
  • Collaborate with solution architects, product teams, and business stakeholders to define scalable technical solutions.
  • Participate in code reviews, architecture discussions, and technical design sessions.
  • Ensure solutions meet security, performance, reliability, scalability, and maintainability standards.

Required profile

  • 5+ years of professional software engineering experience with strong Python expertise.
  • Proven experience designing and delivering production REST APIs and understanding of authentication, authorization, and enterprise integration patterns.
  • Hands‑on experience with cloud‑native applications, event‑driven and service‑oriented architectures.
  • Strong problem‑solving, analytical, and communication skills, with the ability to understand business context and make sound technical judgments.

Required skills

  • Python
  • REST API design and development
  • API authentication and authorization
  • Enterprise integration patterns
  • Cloud‑native application development
  • Event‑driven and service‑oriented architectures
  • Automated testing, CI/CD pipelines, code reviews
  • Production troubleshooting
  • AI‑assisted coding tools (e.g., Codex, Cursor, Claude Code)
  • Model Context Protocol (MCP) – nice to have
  • Databricks and other cloud platforms – nice to have

What we offer

  • Stable, long‑term contract with career growth opportunities.
  • Remote‑friendly culture promoting work‑life balance.
  • Continuous training, mentorship, and access to AI training resources and tools.
  • Flexible paid time off and holiday days.
  • Challenging software projects for US and LatAm clients.
  • Collaboration with talented engineers across Latin America and the US.

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