Top Tech Jobs & Startup Jobs

Build and maintain full‑stack web applications that connect AI/ML systems to users. Own product lifecycle for GenAI features (design, prototype, deploy, support), collaborate with data scientists, and implement scalable cloud, serverless/containerised backends, APIs, and knowledge/agent systems.

Lead technical direction for Short Term Credit platform, design system and data architecture, mentor lead engineers, drive adoption of Generative AI, produce technical designs, troubleshoot issues hands-on, and influence stakeholders to deliver mission-critical fintech products.

Handle inbound SME loan applications, educate customers on Funding Circle products, convert leads into accepted loans, manage a high-volume pipeline, pitch against competitor funding options, and continuously develop sales skills through training and weekly coaching.

Lead development and scaling of Funding Circle's React Native mobile app for iOS and Android. Implement business functionality, maintain build/release pipelines, write automated tests, QA features, participate in code reviews, mentor teammates, and collaborate within agile cross-functional teams to deliver excellent user experiences.

Lead and mentor a team of Analytics Engineers, oversee planning and delivery of the analytics engineering roadmap, manage backlog and KPIs, translate stakeholder needs into technical requirements, drive data quality and pipeline reliability, and support team career development.

Design, build, operate and maintain customer authentication and authorization systems. Lead technical solutions from product scope through delivery, collaborate with product and engineering teams, work on greenfield and legacy code, influence architecture, mentor engineers, and apply distributed-systems best practices across cloud, container, streaming, and AI-based systems.

Lead technical delivery for the Cashback Credit Card product, maintain high-performance services, design and implement features using Python and serverless architectures, work with microservices and event-driven systems (Kafka), mentor engineers, drive technical ideation, and architect safe, maintainable AI and automated solutions.

Build and own high-quality dbt data models, ensure performance, testing and documentation; collaborate with analysts and data scientists; promote best practices for modelling, transformation and governance; advise on data platform tooling and infrastructure; support AI solution architecture and upskilling across the business.