Bond McKenzie
Senior Java Fullstack Developer - VP level - Investment Technology / Finance An industry leading global financial and technology organisation are looking for Senior Java Software Engineers with 7+ years' experience, who have some experience in React or similar, plus modern JavaScript/TypeScript, who like to innovate and be part of a team creating next-generation investment finance technology. Based in London, you will be a key part of the team responsible for engineering a cloud-first Private Markets platform using a microservice architecture, supporting hundreds of client businesses, managing and analysing their portfolios. The team's focus is to design and implement authorisation and permissions management using RBAC and policy based approaches. The team owns permissions management capabilities (roles, entitlements, lifecycle changes) and drives integration with the central authentication platform to enable consistent access control across applications and environments. The team is very quickly moving to AI-enabled development, and you will be at the heart of that transformation. Responsibilities Work closely alongside the Engineering Lead to deliver the technical strategy for your team. Deliver high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles. Design, develop, and implement secure, scalable, and reliable micro-services to deliver client-facing applications using a Java backend and React frontend. Optimize performance and reliability through continuous testing, debugging, and refinement. Stay abreast of industry trends and emerging technologies to drive innovation and maintain a competitive edge, with a particular focus on AI. Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team. Ideal profile 7+ years of professional experience in Java development, with a focus on building client facing APIs or platforms Strong written and verbal communication skills, with experience managing and mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs. Familiarity with AI driven development practices and tools for code generation and testing. Strong proficiency in Java and related frameworks (e.g. Spring Boot, Hibernate). Some experience in React or similar and modern JavaScript/TypeScript. Solid experience with object oriented design and applying standard design patterns Experience designing, building, and deploying scalable microservices using API first principles with REST and/or gRPC. Experience with API authentication and authorization mechanisms (e.g. OAuth, JWT). Hands on experience with engineering tools such as Git, Maven, unit and integration testing frameworks, and mocking libraries. Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial. Experience with message brokers such as Kafka a plus. A friendly, positive, and can do attitude. A Bachelor's degree in Computer Science, Engineering, or a related field.
Senior Java Fullstack Developer - VP level - Investment Technology / Finance An industry leading global financial and technology organisation are looking for Senior Java Software Engineers with 7+ years' experience, who have some experience in React or similar, plus modern JavaScript/TypeScript, who like to innovate and be part of a team creating next-generation investment finance technology. Based in London, you will be a key part of the team responsible for engineering a cloud-first Private Markets platform using a microservice architecture, supporting hundreds of client businesses, managing and analysing their portfolios. The team's focus is to design and implement authorisation and permissions management using RBAC and policy based approaches. The team owns permissions management capabilities (roles, entitlements, lifecycle changes) and drives integration with the central authentication platform to enable consistent access control across applications and environments. The team is very quickly moving to AI-enabled development, and you will be at the heart of that transformation. Responsibilities Work closely alongside the Engineering Lead to deliver the technical strategy for your team. Deliver high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles. Design, develop, and implement secure, scalable, and reliable micro-services to deliver client-facing applications using a Java backend and React frontend. Optimize performance and reliability through continuous testing, debugging, and refinement. Stay abreast of industry trends and emerging technologies to drive innovation and maintain a competitive edge, with a particular focus on AI. Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team. Ideal profile 7+ years of professional experience in Java development, with a focus on building client facing APIs or platforms Strong written and verbal communication skills, with experience managing and mentoring diverse teams. Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases). Experience integrating AI/ML services into backend systems and APIs. Familiarity with AI driven development practices and tools for code generation and testing. Strong proficiency in Java and related frameworks (e.g. Spring Boot, Hibernate). Some experience in React or similar and modern JavaScript/TypeScript. Solid experience with object oriented design and applying standard design patterns Experience designing, building, and deploying scalable microservices using API first principles with REST and/or gRPC. Experience with API authentication and authorization mechanisms (e.g. OAuth, JWT). Hands on experience with engineering tools such as Git, Maven, unit and integration testing frameworks, and mocking libraries. Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial. Experience with message brokers such as Kafka a plus. A friendly, positive, and can do attitude. A Bachelor's degree in Computer Science, Engineering, or a related field.
