Desarrollador​/a Python

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We are looking for a Python Developer to build and scale an event-driven integration platform, including APIs, resilience mechanisms, and AI-facing integrations.

• At least 4 years of production experience with Python — typed, tested, packaged services and APIs, not just scripting — with solid development fundamentals: data structures, design patterns, concurrency and asynchronous programming.
• Solid grasp of event-driven and asynchronous architecture
  : messaging, durable logs, at-least-once delivery, idempotency, retries, dead-letter queues, replay and back pressure.
• REST API design and practical OpenAPI experience
  ; willingness to work to AsyncAPI contracts.
• Apache Kafka or an equivalent streaming platform.
• GenAI-assisted development — you actively use AI coding agents in your daily workflow, or are demonstrably keen to adopt them. We build with these tools and expect everyone in the squad to be fluent in them, including the judgement to know when their output cannot be trusted.
• Testing discipline (pytest, contract testing),
  CI/CD pipelines
  , Linux, Git and containers.
• Methodical problem-solving and debugging across distributed systems.
• Strong written and verbal communication — you can explain a trade-off (consistency versus availability, synchronous versus asynchronous) to a global audience and defend it in architectural review.
• A genuine desire to keep learning, and to evaluate new tools thoroughly rather than adopt them uncritically.

• Building GenAI-facing products: agent skills, tool-calling protocols, retrieval pipelines, or LLM API integration.
• Integration experience with large commercial SaaS platforms, particularly ITSM or ITAM products.
• Relational and No
  
  SQL databases;
  GraphQL; OAuth2 and enterprise identity integration.
• ITSM/ITAM domain knowledge — incident, change, service request, configuration and asset management.
• Experience decommissioning legacy integrations and running deprecation programmes.

• Build and evolve the backbone — a Python service handling an observation / intent / outcome event taxonomy, a durable replayable event log, and workers that translate events into operations on the ITSM platform.
• Design and maintain contract-first interfaces using OpenAPI and AsyncAPI.
• Build the correlation and decision layer that turns incoming signals into the right ITSM actions — deduplicated, correlated, and applied exactly once.
• Design and deliver the platform's resilience mechanisms — keeping the service usable, and consumer requests safe and recoverable, when the upstream vendor platform is degraded or unavailable.
• Build multiple access patterns over a single async core — fire-and-forget, submit-and-poll, webhook and stream subscriptions, and bulk/micro-batch ingest — so each consumer integrates at the level its use case demands.
• Develop the event type registry and self-service onboarding, so consuming teams register their own event types, handlers and subscriptions.
• Build GenAI-facing integration surfaces — agent skills and tool-calling interfaces that let AI agents discover and consume the platform safely.
• Modernise and migrate legacy integrations onto the new platform through managed deprecation paths, without disrupting existing consumers.
• Own quality end to end: code review, coding standards, contract and integration testing,…