Dlocal2mo ago

Senior Python Software Engineer – AI Ecosystems

BarcelonaFull Timesenior

Data SciencePython Software EngineerSoftware Engineering

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Quick Summary

Overview

Why should you join dLocal? dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets.

Technical Tools

Data SciencePython Software EngineerSoftware Engineering

Why should you join dLocal?

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets. Global brands rely on us to increase conversion rates and simplify payment expansion effortlessly. As both a payments processor and a merchant of record where we operate, we make it possible for our merchants to make inroads into the world’s fastest-growing, emerging markets.

By joining us you will be a part of an amazing global team that makes it all happen. Being a part of dLocal means working with 1000+ teammates from 30+ different nationalities and developing an international career that impacts millions of people’s daily lives. We are builders, we never run from a challenge, we are customer-centric, and if this sounds like you, we know you will thrive in our team.

What's the Opportunity?

We are looking for a versatile Python Software Engineer who is not afraid to wear multiple hats. While your core focus will be on software development and building scalable AI solutions, you might occasionally step into architecture design or data understanding.

Most importantly, we are looking for a builder with extreme ownership and a clear product vision. We do not want to stay stuck in the Proof of Concept phase.

We need a highly proactive engineer who doesn’t wait for tasks to be assigned, but actively seeks out bottlenecks and solves them. You must be driven to build robust solutions that constantly improve and deliver measurable, data-driven impact to our engineering ecosystem.

Extreme Ownership: Treat this AI ecosystem as your own. You will not just write code; you will own the end-to-end delivery, architecture, and the actual value your tools bring to hundreds of developers.

Proactively Build and Evolve: Design, code, and deploy Python-based microservices in a cloud environment. Don’t just build what’s asked—anticipate future needs, propose better architectures, and push the product forward.

Measure Data-Driven Impact: Everything we build must move the needle. You will define and monitor metrics to ensure our solutions are genuinely speeding up workflows, using hard data to guide your next engineering decisions.

Debug & Troubleshoot (Highly Critical): A major key to success in this role is your ability to dive deep and proactively debug complex, hard-to-find issues across microservices, distributed architectures, different environments, and VPCs.

Adapt and Overcome: Willing to jump into unknown territories when the product demands it. Whether it's platform engineering, computing statistics, or data engineering tasks, you take the initiative to learn and solve the problem.

Experience: 5+ years of professional experience in software engineering and building microservices, with at least 3 years of hands-on experience using Python.

Cloud Mastery: Proven, deep experience operating in the cloud (ideally AWS) is essential. You have a strong track record of deploying microservices and must be highly comfortable working with Infrastructure as Code (IaC), Kubernetes, and serverless architectures. You also bring a practical understanding of how to navigate and rigorously debug across different cloud environments.

Efficient Python & Concurrency: You have built highly efficient applications and possess both the practical skills and the theoretical foundation to back up your design choices. You understand the nuances of CPython's execution constraints and can comfortably explain your rationale for choosing asynchronous, threaded, or multi-process architectures based on the specific load profile of the task at hand.

Applied Distributed Architecture: You understand the realities of network unreliability and data consistency in distributed environments. You can comfortably explain how you utilize core software design patterns to build clean, interchangeable components, and how you architect fault-tolerant systems using modern failure-mitigation and distributed commit strategies, ultimately translating these concepts into resilient, production-ready code.

Messaging & Databases: Hands-on experience with both relational and non-relational databases, as well as message brokers. You have a solid theoretical understanding of the core architectural concepts behind messaging patterns and database scaling strategies.

AI-First Mindset: You are an active user of AI coding assistants (Cursor, Copilot, Gemini, etc.) and leverage them daily to improve your productivity, write tests, and review code.