This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Software Engineer (Cloud Monetization Platform) based in Spain.
Join a high-impact engineering team building the commercial infrastructure behind a modern AI cloud platform.
You will work on backend systems that turn complex cloud usage—including compute, storage, networking, reservations, contracts, and payments—into reliable commercial workflows.
The role combines distributed systems engineering, scalable service design, and challenging problems around consistency, correctness, and performance.
You will help create clean abstractions for evolving business models while shaping a platform that is being built and scaled from the ground up.
Working alongside experienced engineers in an international environment, you will have meaningful ownership over technical decisions and system architecture.
The position offers the opportunity to contribute to infrastructure that supports the rapidly expanding global AI economy.
This is an ideal role for a senior backend engineer who enjoys complex technical challenges, autonomy, and building robust systems at scale.
Accountabilities
- Design, develop, and maintain scalable backend services that form the commercial and monetization foundation of a cloud platform.
- Build reliable distributed workflows where correctness, consistency, resilience, and performance are critical.
- Develop clean and maintainable abstractions that support rapidly evolving pricing, billing, contracts, and commercial models.
- Contribute to the architecture and implementation of microservices and distributed systems operating at significant scale.
- Design and improve asynchronous workflows, ensuring reliable processing across interconnected services and business-critical operations.
- Work with technologies including Python, gRPC, Temporal, YDB, Kafka-like messaging, Kubernetes, and a broad ecosystem of microservices.
- Collaborate closely with engineers and stakeholders to translate complex business requirements into robust technical solutions.
- Take ownership of technical decisions, proactively identify areas for improvement, and contribute to the long-term evolution of the platform.
- Help establish engineering practices that support reliability, scalability, maintainability, and rapid product development.
- Contribute to a fast-moving engineering environment focused on solving challenging infrastructure and cloud monetization problems.
- 5+ years of professional software engineering experience, with a strong focus on backend development.
- Strong proficiency in Python or the ability and willingness to become productive quickly within the technology stack.
- Hands-on experience building distributed backend systems and microservice architectures.
- Solid understanding of distributed transactions, consistency models, and reliable asynchronous workflows.
- Demonstrated experience designing and implementing scalable backend services.
- Strong software engineering fundamentals, with an emphasis on clean architecture, reliability, maintainability, and performance.
- Excellent communication and collaboration skills, with the ability to work effectively in an international and multidisciplinary environment.
- Strong sense of ownership, autonomy, and accountability, combined with a proactive approach to solving complex technical problems.
- Experience with billing, payments, pricing, or other monetization systems is a valuable advantage.
- Familiarity with technologies such as gRPC, Temporal, YDB, Kafka-style messaging, Kubernetes, or similar distributed infrastructure is beneficial.
- Competitive compensation package.
- Opportunities for career growth, continuous learning, and professional development.
- Flexible working arrangements with a high degree of autonomy and ownership.
- Opportunity to work remotely while collaborating with an international engineering team.
- Collaborative, innovative, and fast-moving working culture.
- Opportunity to work on technically challenging infrastructure supporting the rapidly growing AI ecosystem.
- Meaningful ownership and the opportunity to influence architecture, engineering practices, and platform development.
- Exposure to large-scale distributed systems, cloud infrastructure, and cutting-edge AI technology.
