Full Stack Java Development Lead creating cloud - native microservices and APIs at General Motors. Focused on backend engineering and driving technical design discussions for scalable solutions.
About the role
- Senior Software Engineer focused on full-stack solutions and AI integration at Eptura. Designing scalable, user-friendly applications while mentoring junior engineers in a hybrid work setup.
Responsibilities
- Shape the Future of Work with Eptura
- Utilize Generative AI tools (e.g., GitHub Copilot, Cursor, LLM-based agents) to accelerate development and improve code quality.
- Collaborate with Product and UX teams to implement AI-powered features such as intelligent automation and predictive analytics.
- Stay ahead of AI trends and participate in experiments and hackathons to drive innovation.
- Design and develop scalable, multi-tier systems, contributing to both client-side (Micro-Frontends) and server-side (Java/Spring Boot) architectures.
- Build secure REST APIs and Event-Driven systems using Java 21+, optimizing data interactions with SQL/NoSQL (Mongo) and event streaming via Kafka/Event Hubs.
- Develop high-performance user interfaces using React and TypeScript, focusing on accessibility, state management, and web performance.
- Work with CI/CD pipelines on Azure, ensuring performance benchmarking, query optimization, and technical debt reduction.
- Mentor junior and mid-level engineers on full-stack best practices and effective use of AI tools.
- Partner with Product Managers and Designers to translate requirements into high-quality technical solutions.
Requirements
- 5+ years of experience in software engineering with a strong background in full-stack development.
- Proficiency in Java (21+) and Spring Boot, with experience in microservices and Event-Driven Architecture.
- Strong expertise in React, TypeScript, and modern state management, including Micro-Frontend concepts.
- Proven ability to leverage Generative AI tools for software development (e.g., prompt engineering, AI-assisted refactoring).
- Hands-on experience with NoSQL (Mongo), message brokers (Kafka/Event Hubs), and Azure cloud environments.
- Experience integrating LLM APIs or building AI-driven features.
- Knowledge of frontend performance optimization and network analysis.
- Familiarity with Agile methodologies and proactive approach to system improvements.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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