Staff Engineer Digital Lending
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Get weekly matches like thisStaff Engineers are the most visible engineers in the organisation and demonstrate technical excellence and our cultural values across all squads and to teams across the wider organisation. </li><li>Have a strong…
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Staff Engineers are the most visible engineers in the organisation and demonstrate technical excellence and our cultural values across all squads and to teams across the wider organisation. </li><li>Have a strong technical background, including 8+ years of experience designing and engineering large scale systems. </li><li>Lead squads to sensible architectural decisions on the most complex technical problems. </li><li>Measure your success in terms of business impact, not lines of code. </li><li>Internalise the best ideas from across the organisation, humbly setting a vision that others can get behind. </li><li>Embrace DevOps culture: You build it, you run it. </li><li>Work well cross-functionally and earn trust from co-workers at all levels. </li><li>Prefer simple solutions and designs over complex ones. </li><li>Enjoy working with a diverse group of people with different areas of expertise. </li><li>You challenge the existing approach when you see the cliff edge racing towards us, but also get on board once the options have been debated and the team has made a decision. </li><li>You are comfortably organised amongst chaos. </li><li>You are a broad thinker and have the capability to see the potential impact of decisions across the wider business. </li><li>Utilise GenerativeAI: Leverage GenAI tools to increase productivity and enhance decision making processes within the role</li></ul><p><br></p><b>Nice to Have Skills ð</b><ul><li>Experience with AI/LLM integrations and Generative AI applications</li><li>Knowledge of intelligent document processing and NLP techniques</li><li>Familiarity with vector databases (e.g., Pinecone, Weaviate) and search platforms (e.g., OpenSearch, Elasticsearch)</li><li>Exposure to agentic workflows or orchestration frameworks for multi-step AI reasoning, familiarity with MCP (Model Context Protocol), and frameworks like Claude Code</li></ul><p><br></p><b>Tech stack ð§±</b><ul><li>We're pragmatic about our technology choices. These are some of the things we use at the moment:</li><li>ð Python</li><li>ðï¸ PostgreSQL, BigQuery, MySQL</li><li>ð¨ TypeScript, React, styled-components</li><li>ð§ Jest, React Testing Library, Cypress, pytest</li><li>âï¸ AWS, GCP</li><li>ð ECS Fargate, Docker, Terraform, GitHub Actions</li></ul><p><br></p><b>How we expect you to work ð·ââï¸</b><ul><li>We expect you to work in these ways, as well as encouraging and enabling these practices from others:</li><li>Collaborate ð¬ - We work in cross-functional, mission driven, autonomous squads that gel over time.