Python Back-End Engineer

About IXOPAY, a TokenEx Company
Our mission at IXOPAY, a TokenEx Company, is to secure and optimize payments for global commerce. We're building an integrated platform that optimizes payment transactions and protects payments data. For merchants who understand that payments are now a strategic function, IXOPAY is a complete payments optimization platform that delivers best-in-class tokenization and transaction routing. Unlike point solutions, IXOPAY delivers omnichannel tokenization, card lifecycle management, and routing via any payments service provider — giving merchants unprecedented control over their revenue and the competitive edge to thrive in global commerce.

We believe our people are our most valuable asset and that our culture is defined by our core values that align the organization with our mission and strategy.

Position Overview
We are seeking a highly skilled
Back-end Engineer
with a strong background in payments and data analytics to join our team. This key role will be focused on the growth of our newest IXOPAY solution,
AI Payments Intelligence
.

In this role, you will work closely with the engineering team, sales and customers to understand their business objectives to build a product focused on data-driven solutions that enhance payment performance, cost efficiency, and data management excellence. Leveraging your deep knowledge of the payments industry, you will contribute in building an AI driven payments intelligence product that allows global merchants to optimize their payment strategies, improve conversion rates, manage risks, and gain actionable insights from their data.

Position Responsibilities

• Develop and enhance Ixopay's AI Payments Intelligence platform, enabling clients to extract actionable insights from complex transaction data.
• Work closely with major enterprise clients to understand their data needs, integrate with their PSPs, and ensure seamless onboarding and data flow.
• Design, implement, and maintain scalable online data processing, analysis, and visualization systems, with a strong focus on performance and reliability.
• Contribute to building the infrastructure required for AI-driven capabilities, including AI agents, machine learning workflows, and automated decision systems, and support the development of anomaly detection models and other ML-driven features.
• Collaborate with product and engineering teams to evaluate new features, contribute to architectural decisions, and guide product development from concept to launch.
• Design data schemas, ETL pipelines, and mapping solutions and ensure their smooth operation on cloud infrastructure.
• Contribute to the creation of data summary statistics, internal analytics tooling, and integration interfaces for third-party systems such as payment gateways via SFTP, Reporting APIs, or webhook-based ingestion.
• Develop and support client-facing analytical dashboards and the backend components powering data visualization features.
• Ensure security, performance, and high availability across all backend services and data systems.
• Work independently and take ownership of complex technical initiatives while contributing to a collaborative team environment.
• Implement analytical and visualization components based on product requirements and close collaboration with product leadership.
• Ensure portability and consistency of the user experience across devices and platforms, supporting front-end integrations as needed.
• Stay up to date with industry trends, best practices, and emerging technologies to continually strengthen the platform and influence strategic technical decisions.

Position Qualifications

• 5+ years of proven experience in software development, with a strong focus on backend engineering, data engineering, or database development.
• Expert-level Python knowledge is required, with experience building scalable backend services and data pipelines.
• Deep, hands-on experience with AWS is required, including S3, Lambda, DynamoDB, Cognito, SQS, and Bedrock.
• Experience working with modern data tools and cloud-native architectures.
• Strong plus: experience with analytical databases such as ClickHouse and Snowflake.
• Strong problem-solving abilities and the capability to work independently in a fast-paced environment.
• Entrepreneurial mindset with a motivation for personal and company growth.
• Excellent communication skills and high attention to detail.
• Passion for creating impactful, data-driven products that deliver meaningful business value.
• Experience with payment data analytics or PSP integrations is preferred.
• Previous experience in a startup environment is a strong advantage.

Based in Munich (preferably) or elsewhere in Germany
– this is a
remote-friendly position
, offering flexibility to work fully remotely or from our Munich location as desired.