Top Tech Jobs & Startup Jobs in London

Design, build, and maintain scalable, secure, cloud-native backend systems using JVM languages. Ensure reliability, performance, and zero-downtime releases; use domain modeling, automated testing, and enterprise AI-assisted tools to improve code quality and delivery.

Lead metadata and information architecture by developing metamodels, controlled vocabularies, mappings, lineage, DSLs, and tooling. Prototype, validate, and integrate metadata into engineering workflows to enable AI, governance, traceability, and secure, reusable metadata-driven patterns. Influence standards and partner with stakeholders to ensure implementable models and controls.

Design, build and operate cloud-native backend microservices (Java) for banking products. Ensure secure, reliable, scalable systems with strong testing, performance tuning, zero-downtime releases, and production support including incident management.

Lead technical direction for cloud platform engineering, design and operate Kubernetes-based platform services, automate CI/CD and developer self-service, enforce security and IaC standards, provide production incident leadership, evaluate vendors, and mentor engineers while driving adoption of AI-assisted engineering practices and operational reliability.

Lead end-to-end fraud detection and risk management for Chase UK card/payments. Develop analytical models, create and implement detection rules, analyze loss data, advise senior management, and drive cross-functional execution of fraud strategy and controls.

Lead and deliver secure, scalable post-trade software solutions. Design, develop, review, and troubleshoot production code; drive architecture evaluations; automate remediation; promote CI/CD, resiliency, and cloud-native practices; mentor engineering communities and collaborate with vendors and internal teams.

Lead design and deliver cloud-native backend microservices with reliable, secure, and scalable architectures. Build and test end-to-end solutions, operate production systems, drive AI-assisted engineering practices, coach engineers, manage stakeholders, and ensure high availability, performance, and secure data handling across the product lifecycle.

Lead product coaching and transformation across client engagements: drive outcome-focused product practices, discovery, prioritization, metrics-driven decisions, AI-enabled product workflows and prototypes, and upskill product organizations while ensuring responsible AI adoption and governance.

Designs, develops, tests, and maintains scalable, secure front-end applications using React and TypeScript. Uses AI-assisted development tools responsibly, produces architecture artifacts, improves code quality, debugs complex issues, and creates visualizations from large datasets to drive system improvements.

Provide independent oversight of technology and cybersecurity risk for Employee Platforms. Conduct technical risk assessments and threat model reviews, identify and drive remediation of control gaps, assess third‑party and cloud risks, monitor incidents, integrate AI/LLM toolsets into assessments, and collaborate with stakeholders to ensure compliance with policies and regulatory standards.