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Java Full Stack Developer

Cubestech Ltd — United Kingdom · Posted ~1 day ago

Senior

Skills

Java Functional programming Spring Spring REST Spring Boot JPA Kubernetes Angular React JUnit Integration testing SQL

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Summary ✨ AI‑Generated

Build and maintain secure, stable, and scalable applications as a Java full-stack developer. You’ll work across backend architecture with Spring, container orchestration, modern frontend frameworks, automated testing, and optimized SQL while collaborating with cross-functional teams to deliver robust technical solutions.

Highlights

Strong full-stack engineering role combining backend Java expertise, modern Spring technologies, Kubernetes, frontend frameworks, automated testing, and SQL.

Description

Detailed Description : Design, develop, and maintain robust Java-based applications. Deliver secure, stable, and scalable solutions across various business and technical domains. Collaborate with cross-functional teams to understand requirements and translate them into effective technical solutions. Take ownership of projects, proactively identifying and resolving issues. Ensure best practices in coding, testing, and deployment. Required Qualifications Core Java & Functional Programming: Minimum 5 years of experience with strong understanding of functional programming concepts. Spring Ecosystem: At least 5 years of hands-on experience with Spring, Spring REST, Spring Boot, and JPA. Kubernetes: Minimum 2 years of experience deploying and managing applications on Kubernetes. Front-End Technologies: Working knowledge of Angular and React UI frameworks (2+ years). Testing: Deep expertise in JUnit and integration testing (5+ years). SQL: Ability to write efficient and optimized SQL queries (3+ years). Agile Methodologies: Solid understanding of Agile practices and principles. CI/CD: Experience with continuous integration and deployment pipelines. Design Principles: Strong grasp of software design principles and patterns. Preferred Skills Experience with public cloud platforms (AWS, Azure, GCP). Familiarity with Kafka, MQ, or other streaming services. Exposure to AI-assisted development tools such as Co-pilot.