Senior Software Engineer (Backend): Crypto Payments

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BVNKCrypto payments

Location: Bulgaria, South Africa, Poland, Spain. We offer a Hybrid/Remote working policy.Full-TimeSenior

Salary70,000 - 110,000 EUR per year

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Job Details

Required Skills: AWSPostgreSQLJavaKafkaKubernetesMySQLSpring BootMicroservices

Have solid professional experience as a backend engineer building and running production systems at scale.
Have strong proficiency in Java, ideally Java 17 or later, and Spring Boot.
Have hands-on experience with microservices and event-driven architectures using message brokers such as Kafka or SQS.
Understand transactional outbox, idempotency, and eventual consistency patterns.
Have strong relational database experience, including schema design, indexing, query tuning, and safe migrations with MySQL or PostgreSQL.
Have experience with AWS, Docker, Kubernetes, CI/CD pipelines, and modern observability tools for metrics, tracing, and logging.
Have experience building payment, banking, or other financial systems where correctness, auditability, and reliability matter.
Apply a strong testing mindset across unit, integration, and contract tests.
Use AI coding tools and agentic workflows to design, build, and test solutions.
Be willing to participate in an out-of-hours on-call rota.

Design, build, and run high-throughput backend services for crypto pay-ins, pay-outs, conversions, and transfers.
Build and evolve versioned, documented public and internal APIs.
Use idempotency, transactional outbox, retries, and dead-letter handling to ensure financial events are processed correctly.
Identify and address bottlenecks in service hot paths, database access, and service-to-service calls.
Modernize core services into modular, domain-aligned boundaries while keeping the live payments platform running safely.
Design asynchronous, event-driven workflows with clear service contracts.
Collaborate with Product, engineering, Compliance, and Operations to deliver payment capabilities, assets, and networks.
Monitor and alert on production services, participate in on-call, and lead incident response and root cause analysis.
Use AI coding tools and agentic workflows, and mentor engineers through code reviews, pairing, and technical design.

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