Top Tech Jobs & Startup Jobs in London

Lead architecture and roadmap for platform engineering; mentor engineers; design and deliver secure, scalable cloud-native infrastructure; ensure production stability (You Build It, You Run It); automate operations and implement DORA/SLIs/SLOs; drive FinOps and performance tuning; adopt and govern agentic AI-enabled engineering workflows with security and validation guardrails; collaborate with product, business, and security stakeholders.

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 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.

Design, develop and optimize a large-scale Monte Carlo engine for CVA/FVA calculations; implement numerical techniques for efficiency; build production-grade analytics; collaborate with traders, risk managers and tech teams; drive software engineering best practices.

Build and operate agentic AI solutions for Client360: design, implement, test, deploy, and support services, workflows, integrations, and automation. Collaborate with architecture, engineering, platform, and operations to enable scalable, reliable, auditable agent-led workflows, contribute to CI/CD, monitoring, runbooks, KPIs, and risk/control-aligned delivery.

Lead end-to-end product lifecycle for lending products within wealth management: define product vision and roadmap, run discovery, own backlog, lead agile teams and releases, mentor product analysts, and use data and design thinking to validate and scale customer-centric solutions.

Lead credit analysis, due diligence, structuring and documentation negotiations for Investment Grade and Leveraged clients across diversified industries. Approve transactions, monitor portfolio credit risk, coach junior staff, and maintain senior stakeholder relationships to balance commercial outcomes with strong risk controls and regulatory interaction.