• Directly contribute to internally developed applications, improving day-to-day business workflows in the architecture, engineering, and construction space. • Write unit and functional tests and perform manual testing for applications, to identify and solve problems with internal applications. • Deliver technical proposals for improving existing processes to a diverse audience, with work and cost savings estimates. Recommendations may include using features of existing services/applications, purchasing new services/applications, or a bespoke development solution. • Work with other regional IT team members and managers to collaborate on successful deployment of enterprise-wide initiatives.

Role Description You will be working on: - Backend (Kotlin): - Financial core: ledger, settlement, payouts, pricing, reserves - Integrations: payment providers, KYC/KYB, banking (SEPA/SWIFT) - Webhooks & event-driven processing - REST APIs for product and internal tools - BPMN workflows (Camunda): onboarding, AML, disputes, settlements - Compliance flows: transaction monitoring, SAR - Frontend (Next.js): - Merchant portal (transactions, payouts, dashboards, onboarding) - Internal ops/admin tools (AML, disputes, treasury, compliance) - Developer portal (API docs, sandbox, integration guides) - Reconciliation across multiple systems (gateway → processor → bank) - Reporting: regulatory, scheme, financial - Fully automated testing (unit / integration / e2e, no manual QA) Qualifications - At least 4-5 years of experience with Java/Kotlin (Spring Boot) - Solid experience building REST APIs and backend systems - Hands-on experience with React / Next.js and TypeScript - Strong knowledge of PostgreSQL (queries, indexing, migrations) - Understanding of event-driven architecture, webhooks, async processing - Experience with API design (versioning, idempotency, error handling) - Experience with CI/CD and Git workflows - Full-stack mindset (not backend-only) - Ability to work with system design and architecture decisions - Proactive approach and ownership (doesn’t wait for tasks, drives solutions) - Testing ownership - AI fluency: actively using AI tools in daily engineering work (not just basic usage) - Comfortable in a fast-paced startup environment, actively contributing ideas and driving solutions end-to-end rather than just executing tasks - Good English level (at least A2-B1) and fluent Russian Benefits - Remote work (EU timezone or close to it) - Competitive compensation above typical market benchmarks for similar roles - Direct collaboration with CTO and CPO - Fintech domain: card payments, compliance, settlement - deep immersion - Paid vacation and sick leave - Company-provided equipment (Apple devices) - Small, highly engaged team with strong ownership - Real opportunity to influence product decisions and bring your ideas to life - Fast-paced environment with minimal bureaucracy

• Design, develop, and maintain full-stack features across both legacy and modern applications. • Work with Python/Django backend systems and React-based frontends. • Design and integrate REST APIs and third-party services. • Manage and optimize PostgreSQL databases, including complex queries and PostGIS when applicable. • Implement asynchronous workflows using Redis and Celery. • Contribute to frontend architecture across multiple React versions and frameworks. • Support containerized environments using Docker and contribute to infrastructure-related tasks. • Ensure code quality through testing and best development practices. • Take full ownership of features across the development lifecycle.

• Assess CAMP's existing product platforms, identify architectural details, and define a prioritized modernization roadmap. • Architect the evolution from tightly coupled legacy designs toward modular, API-first, service-oriented architectures that are easier to extend and maintain. • Use AI-powered development tools — code analysis, AI coding assistants, LLM-assisted refactoring, automated test generation — to accelerate modernization and establish best practices for their use across the engineering organization. • Redesign data models and data access layers to be clean, consistent, and consumable by AI/ML systems when those capabilities are introduced. • Build foundational platform capabilities — event-driven integration points, structured APIs, observability — that make it straightforward to add AI features without invasive re-engineering. • Work hands-on across the full stack, leading by example rather than by specification alone. • Partner with product and engineering leadership to sequence the work so it delivers near-term value while building toward the right long-term architecture.