Principal Software Engineer leading design and development of mission-critical systems at Eptura. Innovating using Java, React, and Generative AI to drive technology forward.
Responsibilities
Lead adoption of Generative AI tools (e.g., GitHub Copilot, Cursor, LLM-based agents) to accelerate development and improve code quality.
Partner with Product and UX teams to architect and implement AI-powered features such as intelligent automation and predictive analytics.
Act as an internal authority on AI trends, conducting experiments and hackathons to explore innovative solutions.
Design and govern highly scalable, multi-tier software systems, owning both client-side (Micro-Frontends) and server-side (Java/Spring Boot) architectures.
Architect secure REST APIs and Event-Driven systems using Java 21+, optimizing data interactions with SQL/NoSQL databases and event streaming (Kafka/Event Hubs).
Drive evolution of React/TypeScript frontends, focusing on performance, accessibility, and advanced state management.
Champion Infrastructure as Code and modern CI/CD practices on Azure, ensuring operational excellence and reliability.
Mentor senior and mid-level engineers, promoting clean code, comprehensive testing, and architectural rigor.
Collaborate with Product Managers and UX Designers to translate business goals into technical roadmaps.
Lead internal engineering communities and initiatives to foster innovation and best practices.
Requirements
8+ years of software engineering experience delivering complex, large-scale full-stack applications.
Expert-level proficiency in Java (21+) and Spring Boot, with deep experience in microservices and Event-Driven Architecture.
Advanced expertise in React, TypeScript, and modern state management, including Micro-Frontend patterns.
Demonstrated experience leveraging Generative AI for software development (e.g., code generation, automated refactoring).
Hands-on experience with NoSQL (MongoDB), message brokers (Kafka/Event Hubs), and Azure cloud services.
Experience building and deploying custom LLM integrations or AI-driven workflows.
Strong knowledge of performance optimization across network and browser (Core Web Vitals: LCP, FID, CLS).
Background in Agile methodologies and leading large-scale system refactoring efforts.
Benefits
Health insurance fully paid–Spouse, children, and Parents
Accident insurance fully paid
Flexible working allowance
25 days holidays
7 paid sick days
13 public holidays
Employee Assistance Program
Job title
Principal Software Engineer – Workplace, Full Stack
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