Senior Full Stack/Native Cloud Engineer (Vice President)

Key Responsibilities

• Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI.
• Build, enhance, and operate event-driven, real-time data pipelines using Kafka and related streaming technologies.
• Provide deep technical expertise in distributed systems, data architecture, and scalable platform design.
• Design, implement, and maintain Java-based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services.
• Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift.
• Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React.
• Own solutions end-to-end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement.
• Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience.
• Mentor and guide junior and mid-level engineers, setting high technical standards through code reviews, design reviews, and hands-on technical leadership.
• Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction.
• Partner closely with business stakeholders, product managers, and cross-functional technology teams to translate requirements into robust technical solutions.
• Optimise systems for performance, scalability, resiliency, reliability, and low-latency operation.
• Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements.
• Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution.
• Support production systems, ensuring timely issue resolution, effective root-cause analysis, and ongoing service improvement.

Required Skills and Experience

• Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment.
• Advanced backend engineering experience with Java 8+, Spring Boot, and microservices-based architectures.
• Strong Python development experience, preferably with FastAPI or similar modern API frameworks.
• Proven experience designing and building cloud-native, distributed, scalable, and resilient systems.
• Hands-on experience with Kafka or similar event streaming technologies.
• Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC.
• Practical experience with relational and NoSQL data platforms, including PostgreSQL, MongoDB, and Redshift.
• Frontend development experience using Angular or React, with a focus on reliable, maintainable, and responsive UI delivery.
• Strong understanding of software engineering best practices, including automated testing, clean code, code reviews, CI/CD, observability, and secure development practices.
• Experience deploying and operating production-grade systems in cloud or hybrid-cloud environments.
• Demonstrated ability to lead technical delivery, mentor engineers, and influence architecture decisions.
• Strong analytical and problem-solving skills, with the ability to operate independently in a complex delivery environment.
• Excellent communication skills, with the ability to engage effectively with technical teams, business stakeholders, and product partners.

Preferred Skills

• Experience working on CRM, client intelligence, sales enablement, or front-office data platforms.
• Experience in investment banking, equities, fixed income, wealth management, or broader financial services technology.
• Familiarity with AWS or other public cloud platforms.
• Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
• Knowledge of observability tooling, monitoring frameworks, distributed tracing, and production support best practices.
• Experience working in globally distributed Agile engineering teams.
• Understanding of data governance, data lineage, entitlements, and regulatory considerations in financial services environments.

Candidate Profile

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