Senior Backend Engineer | Python | FastAPI | GCP | Docker | Kubernetes | London UK, Hybrid

Senior Backend Engineer | Python | FastAPI | GCP | Docker | Kubernetes | London UK, Hybrid

Backend Engineer - Python (London)

London

About

We’re a Series A stage firm, redefining the future of finance with our AI-native research and task automation platform, backed by leading, global venture investors. Founded by a team of experts from Google DeepMind, Meta AI, and J.P. Morgan, we provide cutting-edge solutions to help finance professionals unlock unique insights with greater efficiency and accuracy.

We’re building a well-rounded team with multi-disciplinary expertise across product, AI, finance, UI/UX, and engineering to help in our goal of building AI agents that can read, analyse and integrate disparate sources of financial and market data. We’re building for the distinct demands of institutional investors, with accuracy, reliability and privacy at the core of our product.

The Role

As a Senior BE Engineer, you will;
  • Help in the development and maintenance of the current Python application.
  • Work on the development of new microservices, refactoring, and removing functionalities from the existing productive monolith
  • Build APIs and integrate using gRPC and Kafka, with a focus on scalable communication between services.
  • Work on Kafka message-driven systems to ensure smooth data streams between microservices.
  • Implement and optimize caching using Redis and Weaviate to improve system performance.
  • Collaborate with the data team to integrate and manage MongoDB, Postgres and Vector DBs for data storage and retrieval.
  • Deploy, monitor, and maintain services on Google Cloud Platform (GCP).
  • Contribute to system architecture design discussions to ensure a modular, scalable infrastructure.
  • Collaborate closely with AI teams to integrate new and existing AI agents and models into the microservices ecosystem.
  • Help with the implementation of industry standards and good practices
Who You Are
  • Have 5+ years of experience working as a Backend Engineer in production environments.
  • Have 3+ years of experience working with Python.
  • A solid level of understanding of async, multithreading and concurrency/parallelism in Python
  • Have familiarity with building and maintaining REST APIs.
  • Have experience with Kafka or similar message brokers.
  • Are proficient in using non-relational databases (ideally MongoDB)
  • Have had exposure to CI/CD environments, utilising containers with Docker and orchestrating microservices with tools like Kubernetes.
  • Have a good understanding of software engineering best practices (standardised practices, version control, testing, code review, etc.)
You Will Thrive Here if You Have
  • Experience with FastAPI and/or Uvicorn
  • Familiarity with Redis for caching and queueing mechanisms.
  • Have a solid understanding of gRPC and building code for microservices-based architectures.
  • Experience with Google Cloud Platform (GCP), including deployments and cloud-native services.
  • Had exposure to AI/ML solutions and integrating ML models into microservices.
  • Familiarity with event-driven architectures and event-driven systems.
  • Have worked in projects making big refactor to improve system performance, API latency, improving data layer and DB queries, etc.
  • Experience with monitoring and logging tools like Datadog, Prometheus, Grafana, ELK stack, etc.
  • Previous experience working in fast-paced startups or dynamic environments.
  • Had exposure to agile methodologies (Kanban, Scrum)
  • Familiarity with user authentication and authorization flows
Why
  • Impact: As an early-stage company, you’ll be part of the team shaping the foundation of one of the most exciting AI platforms in financial services.
  • Exposure: You’ll work directly with senior technical leadership on critical projects
  • Growth: Be part of a company scaling rapidly after Series A, with opportunities to grow the scope and responsibility of your role.
  • Exceptional team: We are a world class team that combines expertise from AI labs (Google DeepMind, Meta AI) with leading Financial institutions (Morgan Stanley, J.P. Morgan, Rothschild & Co, Aviva Investors, Visible Alpha, Revolut).
  • Culture: We deeply value collaboration, intellectual curiosity, disagreement and high performance.
Benefits We’re a growing, cross-functional team that values supporting each other's development. As part of the team, you can expect:
  • 25 days PTO, excluding bank holidays
  • Flexible working - Our flexible work model aims to meet
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