Java-AI
W3Global
Date: 10 hours ago
City: Burgess Hill
Contract type: Contractor
We are seeking a highly skilled Senior Java Full Stack Developer with 6-10 years of experience to help architect and ship resilient, high-scale platforms. In this role, you will bridge the gap between enterprise Java backend excellence and next-generation AI-integrated engineering. You will be responsible for building high-quality microservices, driving legacy modernization, and championing AI-assisted workflows to accelerate development velocity and improve system reliability.
Technical Skills
Core Java Expertise: Expert-level proficiency in Java 17 and Spring Boot frameworks. Fluency with modern testing libraries and build tooling.
Microservices & Kafka: Proven experience building and deploying scalable microservices. Deep working knowledge of Kafka for event-driven systems and asynchronous messaging.
AI-Assisted Engineering: Demonstrated experience using AI-assisted engineering tools (e.g., GitHub Copilot, internal copilots, or LLM-enabled development workflows). Comfort applying AI/ML concepts responsibly.
Architecture Knowledge: Strong understanding of cloud-native architecture, containerization (Docker/Kubernetes), and distributed systems in highly regulated environments.
Quality & DevOps: Familiarity with CI/CD, observability stacks, and infrastructure-as-code principles. Experience driving automated testing suites.
Communication: Excellent collaboration and communication skills, with the ability to influence cross-functional partners and navigate enterprise governance.
Good To Have
Experience with front-end frameworks (e.g., React, Angular, or TypeScript) to contribute to full-stack delivery.
Experience In The Financial Services/Banking Domain.
Relevant certifications (e.g., AWS Certified Developer, Oracle Certified Professional).
Technical Skills
Core Java Expertise: Expert-level proficiency in Java 17 and Spring Boot frameworks. Fluency with modern testing libraries and build tooling.
Microservices & Kafka: Proven experience building and deploying scalable microservices. Deep working knowledge of Kafka for event-driven systems and asynchronous messaging.
AI-Assisted Engineering: Demonstrated experience using AI-assisted engineering tools (e.g., GitHub Copilot, internal copilots, or LLM-enabled development workflows). Comfort applying AI/ML concepts responsibly.
Architecture Knowledge: Strong understanding of cloud-native architecture, containerization (Docker/Kubernetes), and distributed systems in highly regulated environments.
Quality & DevOps: Familiarity with CI/CD, observability stacks, and infrastructure-as-code principles. Experience driving automated testing suites.
Communication: Excellent collaboration and communication skills, with the ability to influence cross-functional partners and navigate enterprise governance.
Good To Have
Experience with front-end frameworks (e.g., React, Angular, or TypeScript) to contribute to full-stack delivery.
Experience In The Financial Services/Banking Domain.
Relevant certifications (e.g., AWS Certified Developer, Oracle Certified Professional).
How to apply
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