At Appfire, we believe that great work happens when people get to choose how they work. After 20 years of creating software that empowers teams to break silos and collaborate seamlessly, we've learned that one size does not fit all. We’re a team of 800+ employees, working remotely across 28 countries.

Our flagship products include: Appfire Flow, JXL, Comala Document Management, 7Pace Time Tracker, Jira Misc Workflow Extensions, and BigPicture.

About The Role

Appfire is looking for a Tech Lead - Fullstack Engineer to join the BigPicture team and help evolve a modern, cloud-based SaaS platform. You’ll lead the design of new functionality, optimize existing services, and support systems used by thousands of tenants. This role is heavily rooted in backend expertise, requiring a profound understanding of Java, Spring, and AWS / Cloud technologies.

Additionally, the ideal candidate must have the willingness and capability to look after the frontend layer (TypeScript, Angular, or React), bridging the gap to deliver end-to-end solutions. You will be joining a mature engineering team working on BigPicture. Over the coming quarters, the team will be heavily focused on AI-driven initiatives, including areas such as AI chatbot capabilities, data quality improvements, and dynamic reporting.

As a Tech Lead, you will also drive the adoption of modern AI-assisted development practices to boost team productivity. This role reports to the Engineering Manager and works cross-functionally with product, UX, and DevOps. You can choose to work remotely from anywhere in Bulgaria.

What You’Ll Do

: Technical Leadership : Leading technical discussions, making architectural decisions and guiding a mature engineering team through upcoming AI-driven product initiatives. Core Backend Development : Designing, implementing, and optimizing complex, scalable backend functionalities using Java, Spring, and AWS. Frontend Feature Delivery : Taking ownership of the frontend layer using TypeScript and Angular or React to support fullstack product delivery.

AI Initiatives Execution : Leading the technical implementation of upcoming AI features, specifically focusing on AI chatbot capabilities, data quality improvements, and dynamic reporting. , Cursor, Claude) to maximize efficiency and modernize engineering workflows. Quality Assurance : Ensuring high code quality through rigorous testing (unit, integration, e2e), conducting peer code reviews, and solving performance-related challenges.

Collaboration : Partnering closely with Product Owners, UX/UI designers, and other engineering teams. ). Practice your craftsmanship in good design (clean code, SOLID, Inversion of Control) and in various architectures (hexagonal, event-driven, pipes&filters, modular monoliths, microservices and more).

Dive deep into a heavy backend stack built on Java and Spring , while utilizing AWS to scale our advanced cloud (SaaS) architecture serving thousands of tenants. Work across the full stack by connecting robust backend services with modern frontend components using TypeScript, Angular, or React . Build cutting-edge AI features, including AI chatbots , automated data quality systems , and dynamic reporting tools.

Supercharge your workflow using state-of-the-art AI tools like Cursor , GitHub Copilot, and modern LLMs for code generation, refactoring, and architectural brainstorming. Thoroughly test what you build: with unit, integration and e2e tests (Spock, JUnit, Mockito, AssertJ, REST Assured, WireMock, Testcontainers, Cypress).