What Will I Be Doing?
- 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.
What Skills Do I Need?
- 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.
Top Skills
What We Do
dLocal started with one goal – to close the payments innovation gap between global enterprise companies, and customers in emerging economies. We have over 900 payment methods, in more than 40 countries.
With the ability to accept local payment methods and facilitate cross-border fund settlement worldwide, our merchants reach billions of underserved consumers in the high-growth markets of Africa, Asia, and Latin America. dLocal offers the ideal payment solutions for global commerce:
Payins: Accept local payment methods
Payouts: Compliantly send funds cross-border
Defense Suite: Manage fraud effectively
dLocal for Platforms: Unify your platform’s payment solution
Local Issuing: Localize payments for your gig-economy workers, suppliers, and partners





