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6 Days ago

SOFTWARE ENGINEER- PYTHON- DIGITAL LENDING

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Bangalore, Karnataka, India
Information Technology
Full-Time
OakNorth in India

Overview

At OakNorth, we’re on a mission to empower the UK’s most ambitious businesses. Since 2015, we’ve lent over $18 billion across the UK and US, helped create more than 58,000 new homes and 36,000 new jobs, and supported hundreds of thousands of personal savers — all while fuelling the UK economy.

Team Mission 🚀

Role

  • Have a strong technical background, including 3+ years of experience designing and engineering large scale systems
  • Measure your success in terms of business impact, not lines of code
  • Internalise the best ideas from across the organisation, humbly setting a vision that others can get behind
  • Embrace DevOps culture: You build it, you run it
  • Work well cross-functionally and earn trust from co-workers at all levels
  • Care deeply about mentorship and growing your colleagues
  • Prefer simple solutions and designs over complex ones
  • Enjoy working with a diverse group of people with different areas of expertise.
  • 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 decisionYou're comfortably organised amongst chaos
  • You’re a broad thinker and have the capability to see the potential impact of decisions across the wider business
  • Utilise GenerativeAI: Leverage GenAI tools to increase productivity and enhance decision making processes within the role


Desired Technology 🧱

  • We're pragmatic about our technology choices. These are some of the things we use at the moment:
  • 🗃 Python
  • 🗄️ PostgreSQL, BigQuery, MySQL
  • 🎨 TypeScript, React, styled-components
  • 🔧 Jest, React Testing Library, Cypress, pytest
  • ☁️ AWS, GCP
  • 🚀 ECS Fargate, Docker, Terraform, GitHub Actions


Nice To Have Skills

  • Experience with AI/LLM integrations and Generative AI applications
  • Knowledge of intelligent document processing and NLP techniques
  • Familiarity with vector databases (e.g., Pinecone, Weaviate) and search platforms (e.g., OpenSearch, Elasticsearch)
  • Exposure to agentic workflows or orchestration frameworks for multi-step AI reasoning, and familiarity with MCP (Model Context Protocol)
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