Java Engineering Lead

Explore the future of FinTech! With superb engineering, we help the finance industry to change just in one click! Join the global Intellias team to develop top-of-the-line solutions for the world's leading FinTech companies.

What project we have for you

Our fast-growing and professional team is looking for a Lead Java Developer who will join to the development of a bespoke white label application to manage Health Savings accounts for its clients. Our client is one of the most well-known and funded startups in its industry, based in the United States. By joining our team, you will get exceptional businesstechnicalmultinational experience working with the demanded product in a competitive American market.

The candidate will be a part of the AI team to create top-notch system from scratch, acting as key team member.

The team is responsible for all aspects of building the product, from ideation to creation. Cloud-native architecture and Agile product development practices are used within the project.

What you will do

• Lead a team of Java developers to design, develop, and deliver high-quality software solutions that meet business needs and requirements
• Lead engineering delivery across the team's full roadmap - a mix of AI-powered features and core platform work, with AI making up a growing share of the backlog
• Own the engineering quality of AI-assisted features that touch sensitive data (claims substantiation, an internal AI assistant for admins) - including strict access-control implementation so AI tools never bypass per-user/per-org data boundaries
• Collaborate with stakeholders, product owners, and project managers to define project scope, goals, and deliverables
• Provide technical guidance, mentorship, and coaching to team members
• Conduct code reviews, enforce coding standards, and ensure code quality
• Participate in the development process, including coding, testing, debugging, and deployment
• Work within an established microservices + Temporal-based workflow architecture (Java 25 / Spring Boot on AWS) - experience with durable workflow orchestration is a strong plus
• Stay up-to-date with emerging trends and technologies in Java development and AI integration patterns, and contribute to the technical roadmap

What you need for this

• 6+ years of experience in Java;
• API design and documentation skills;
• Ability to describe and document technical decisions;
• Deep practical experience with Spring Boot;
• Deep understanding of microservices architectural principles;
• Knowledge of different communication protocols (REST, gRPC, events, messaging);
• Hands-on experience with Docker containerization for different environments;
• Understanding of CI/CD practices and types of quality gates;
• Hands-on experience with unit/integration/API testing for microservices;
• Taking full responsibility for the results of own work;
• At least Upper-Intermediate level of English;
• * Available for international business travel*

Nice to have

• Experience with durable workflow orchestration tools (Temporal, Camunda, or similar) for long-running business processes;
• Experience working in a regulated domain (fintech, healthcare, or similar) with compliance considerations such as PCI DSS, HIPAA, or SOC 2;
• Practical experience building AI-powered features in production - prompt engineering, LLM API integration (OpenAI, Anthropic, or similar), RAG pipelines, or embedding/vector-search based retrieval ;
• Familiarity with agentic engineering patterns - tool-calling/function-calling, multi-step agent orchestration, and frameworks such as LangChain, LangGraph, or similar agent frameworks ;
• Understanding of the engineering safeguards specific to AI features - access-control scoping for AI tools, auditability/traceability of agent actions, and guardrails against unintended data exposure ;

Higher Education: Bachelor's Degree