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Senior Fullstack Engineer
- Franklin, Tennessee, United States
- Franklin, Tennessee, United States
À propos
Design, Build, and Evolve: Architect and develop end-to-end features across the stack. You will evolve the robust Java/Spring Boot backend services that power our platform, while building the responsive frontend interfaces for our Admin and User portals. Build Enterprise-Grade Workflows: Create powerful backend engines and supporting UIs for complex business domains, such as configuring travel policies, visualizing approval chains, and managing user roles/permissions. Build Data-Driven Services: Architect and scale APIs and data services that manage high volumes of data, ensure transactional integrity, and power reporting features and seamless integrations. Own Features End-to-End: Take technical ownership of a problem domain, facilitating the design, development, and launch of key microservices and features that have a direct impact on our users. Collaborate Across Teams: Work cross-functionally with various engineering, product, and design teams to deliver complex, cross-domain features in a collaborative environment. Drive the Vision: Partner with engineering and product leadership to identify, plan, and execute the long-term technical vision for your domain and be a subject matter expert. Champion Best Practices: Contribute to a culture of technical excellence by writing high-quality, well-tested code, mentoring other engineers, and advocating for best practices in testing, monitoring, and operational reliability.
What We’re Looking For:
4-6 years of experience in software development, building complex systems for SaaS products or consumer-facing web applications in a fast-paced environment. Backend Expertise: Deep, hands-on experience in backend development using Java and Spring Boot. You should be highly skilled in data modeling, query optimization, and designing secure, scalable APIs to support enterprise-level features. Frontend Proficiency: Solid experience with frontend development (4+ years) using modern frameworks like React, Angular, or Vue, along with proficiency in TypeScript and managing application state. Systems Architecture: Extensive experience designing and implementing scalable applications across microservices, distributed systems, and cloud platforms like AWS. Collaborative Ownership: Demonstrates strong ownership and a collaborative mindset, with clear communication skills and a proven ability to ship production-quality code equipped with robust monitoring and documentation. AI-Enabled Workflow: Ability to effectively leverage AI development tools (such as GitHub Copilot, CodeGPT, Claude, and Cursor) to accelerate development and innovate on engineering workflows. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent hands-on experience.
Bonus Points (Nice to Have):
AI and LLM Integration: Hands-on experience building AI Agents or implementing Retrieval-Augmented Generation (RAG) patterns using orchestration frameworks like LangChain or LlamaIndex. Vector Infrastructure: Familiarity with vector databases (e.g., Pinecone, Weaviate, or pgvector) and experience fine-tuning prompts or managing LLM-powered services within a Java-based microservices architecture.
Compétences linguistiques
- English
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