Product Engineer (Kotlin)

• От 3 лет коммерческого опыта в backend-разработке с Java;
• Уверенное знание Java Core, Collections, Streams, многопоточности;
• Опыт production-разработки на Spring Boot: Spring MVC, Spring Data, Spring Security;
• Понимание JVM: память, GC, профилирование;
• Понимание ООП, SOLID, паттернов проектирования;
• Опыт проектирования REST API, понимание HTTP, OAuth2 / JWT, OpenAPI;
• Уверенное знание SQL и PostgreSQL: индексы, транзакции, оптимизация запросов;
• Опыт работы с Hibernate / JPA и миграциями (Liquibase / Flyway);
• Опыт с очередями: Kafka / RabbitMQ или аналогами;
• Опыт написания тестов: JUnit, Mockito, Testcontainers;
• Уверенная работа с Git, Maven / Gradle, Docker, понимание CI/CD;
• Опыт работы с одним из облачных провайдеров: AWS / GCP / Azure;
• Понимание эксплуатации сервисов в production: logging, monitoring, secrets, health checks;
• Опыт интеграции LLM в backend, понимание RAG, embeddings, tool calling и особенностей LLM в production;
• Опыт работы по Scrum / Kanban;
• Английский от B1 и выше.

• Опыт работы с Kotlin, Spring WebFlux / Reactor, microservices;
• Опыт с AI Agents / Agentic Workflows, production-ready RAG, MCP;
• Опыт применения Kubernetes, опыт работы с микросервисами, gRPC;
• Опыт с OpenTelemetry / Prometheus / Grafana, Terraform;
• Open-source LLM, LLM evaluation и observability.

The Project
At Findev, we're building an AI-powered application modernization practice for major global financial institutions. The work: take legacy enterprise applications — monoliths, on-prem deployments, decade-old frameworks — and move them to modern platforms (Kubernetes, cloud-native, containerized). Hundreds of applications, each with its own stack, quirks, and business constraints. Most happen to be Java, but not all.
AI tools (Agentic AI, LLM agents, automated analysis pipelines) are the primary instruments in this workflow. They handle volume — codebase scanning, dependency mapping, migration code generation. But the hard part isn't the code transformation. It's the decisions: what to migrate, where to migrate it, which strategy to use (rehost, replatform, refactor, rebuild), and how to sequence it without breaking production systems that handle real money.
That's where you come in.

What you will do

What You Will Do

• Assess legacy applications end-to-end: architecture, dependencies, infrastructure, risk — using AI-assisted analysis tools
• Decide migration strategy for each app based on its characteristics, constraints, and business value
• Execute the full modernization: framework upgrades, dependency migration, containerization, CI/CD pipeline setup
• Deploy to target platforms — cloud services, or optimized on-prem — whatever makes sense for the app
• Shape the modernization practice itself: contribute patterns, templates, and lessons learned that make the next migration faster
• Collaborate with application teams who own the legacy systems

Required

Required

• 7+ yearsin software engineering with progressive seniority
• Backend-first engineer— your strength is server-side systems (APIs, services, data pipelines), but you can read and navigate across layers of the stack when needed
• Strong Java/Spring expertise— the majority of the target portfolio is Java
• Hands-on modernization experience— you've migrated enterprise applications from older frameworks, runtimes, or platforms to modern ones. Java is the most common target, but the next app could be anything
• Broad infrastructure knowledge— you understand the differences between on-prem, cloud, Kubernetes, VMware, and bare metal; deep in some, conversant in all
• Working knowledge of enterprise middleware and data infrastructure— messaging (e.g., Kafka, JMS), relational databases (e.g., Oracle, PostgreSQL), transport protocols (REST, gRPC, SOAP), CI/CD pipelines, and monitoring stacks
• Open to AI-assisted workflows— we use Agentic AI and LLM tools daily as primary instruments; experience with AI-assisted development is a plus, willingness to work this way is required
• Autonomous decision-maker— you can assess a system, form a migration strategy, and defend your recommendation without waiting for someone to tell you what to do
• Enterprise comfort— you've worked in large organizations with large-scale existing systems, change management, and compliance requirements; none of this is new to you
• Excellent written and spoken English— you'll communicate with technical teams, write documentation, and present migration plans
• Education— Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field

Nice to have

Big Plus

• Experience with additional JVM or non-JVM backend stacks (.NET, Python, C++) — several apps in the portfolio use mixed technology
• Experience with AI/LLM tools specifically for code analysis, migration, or large-scale refactoring
• Financial services, capital markets, or fintech background — our clients operate in regulated environments with algo trading, post-trade processing, and real-time risk systems
• Kubernetes deployment experience (EKS, Helm, ArgoCD)
• Cloud migration patterns (lift-and-shift, strangler fig, blue-green, database migration strategies)
• ServiceNow, Confluence, Jira fluency — the enterprise tooling ecosystem

Benefits

• Flexible work setup: remote or a hybrid model.
• Remote Work: reside in Georgia, Serbia, Spain, Cyprus, or Poland, or opt for a hybrid model if based in Kraków or Limassol.
• Health insurance coverage for those based in Poland and Cyprus.
• 50% coverage of health insurance for spouses and children in Poland and Cyprus.
• 24 days of paid vacation.
• 10 days of paid sick leave.
• 50% reimbursement for professional training, education, conferences.
• Work alongside a highly professional team.
• Engaging teambuilding events and activities.
• Relocation package to Poland or Cyprus, including visa sponsorship, if desired.