Coffee With Developers • Jun 1, 2026

Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner

Markus Dorner

Markus Dorner reveals how Bitpanda's Kafka-driven architecture survives massive, unpredictable traffic spikes. Discover the multi-cloud tech stack powering seven million users and preparing for agentic readiness.

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#1 about 2 min

Adopting cloud-native infrastructure in fintech

The industry shift toward scalable cloud-native deployments allows testing in small circles while building for millions of users.

#2 about 1 min

Maintaining a multi-cloud strategy to avoid vendor lock-in

Using AWS as the primary provider while maintaining openness to Azure and Google Cloud handles provider-specific optimizations.

#3 about 4 min

Handling data center region failures and data locality

A sudden outage in a UAE data center required a swift migration of regional shards back to European infrastructure.

#4 about 3 min

Designing system resilience for sudden traffic spikes

Using Kafka and aggressive monitoring helps infrastructure handle abrupt scale-ups caused by viral social media trends.

#5 about 4 min

Empowering domains through cross-functional in-house development

A strict build-first strategy empowers cross-functional teams to own their domains and manage on-call rotations entirely in-house.

#6 about 3 min

Architecting a unified backend for diverse product channels

A highly configurable core trading platform serves both B2B and B2C channels to prevent feature overload and code duplication.

#7 about 4 min

Selecting diverse programming languages across backend services

Integrating Java, Python, TypeScript, and Rust with managed AWS and Confluent services enables team-specific language choices.

#8 about 3 min

Integrating AI coding tools while maintaining human control

Providing tools like CloudCode and Bedrock to developers requires code to remain comprehensible for emergency human intervention.

#9 about 3 min

Preventing sensitive data leakage from generative AI tools

Implementing strict endpoint security and tool licensing constraints ensures AI agents do not leak sensitive financial data.

#10 about 2 min

Focusing internal hackathons on direct business value

Organizing experimentation days around tangible internal problems rather than unstructured free time maintains strong team alignment.

#11 about 2 min

Navigating development creativity within strict regulatory constraints

Separating highly regulated components like hedging engines from faster-moving environments like Web3 wallets optimizes overall development velocity.

#12 about 5 min

Managing continuous deployment through rigorous blameless postmortems

Daily releases in a sensitive financial environment require rigorous design reviews, strict QA pipelines, and transparent incident analysis.

#13 about 3 min

Defending against supply chain and targeted endpoint attacks

Countering sophisticated social engineering and malicious packages relies heavily on employee vigilance and internal vulnerability scanning.

#14 about 3 min

Adjusting hiring practices to combat sophisticated deep fakes

Mandating in-person communication steps during recruitment helps verify candidate authenticity amidst rising state-actor and criminal threat vectors.

#15 about 5 min

Preparing backend APIs for autonomous agent-driven interactions

Rebuilding the core API layer ensures that both traditional scripts and emerging AI agents can seamlessly interact with backend services.

Matching moments

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Architecting the platform with modern cloud and mobile technologies

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