Python Back-End Engineer at Intropic

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Intropic

Python Back-End Engineer

gb flag
United Kingdom

On-site

Full Time

#Product

#Engineering

#Python

#SQL

#AWS

#Docker

Intropic is looking for a Python Back-End Engineer

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We are a fast-growing startup backed by top-tier venture capitalists, and we are on a mission to help the world unlock the true power of information. Our software suite is already making waves in the finance and capital markets, where data moves trillion-dollar industries. We believe that better information leads to better decisions, and we are just getting started. If you are ready to build the next big thing in fintech alongside a team of entrepreneurial thinkers, we want to meet you.

Role at a glance

We are looking for a Senior Python Back-End Engineer to join our team on a full-time basis. This is an on-site role based at our offices in London. You will be working in a dynamic environment where you will have the chance to contribute to products that are already in the hands of early adopters.

Your impact

  • You will collaborate closely with product managers, research analysts, and fellow engineers to define project scopes and translate requirements into reality.
  • You will be responsible for maintaining, extending, and improving our existing suite of products while writing clean, well-tested, and production-ready Python code.
  • You will design and build robust REST APIs, data processing pipelines, and internal libraries, while also managing the deployment and monitoring of our production systems.

What you'll need

  • Expertise in Python, specifically with tools like asyncio, FastAPI, SQLAlchemy, Pydantic, NumPy, and Pandas.
  • Deep knowledge of SQL, including schema design and performance tuning, with a focus on PostgreSQL.
  • Hands-on experience with AWS cloud deployments, Docker, Terraform, and modern CI/CD practices.
  • A self-driven mindset with the ability to communicate effectively with both technical and non-technical stakeholders.
  • Experience working with financial data, traditional statistical models, or transformer LLMs is highly valued.
  • Fluency in English is required for this role.

Perks and compensation

We offer a package designed to reward your contributions and support your growth. This includes:

  • A competitive salary.
  • Employee stock options.
  • Performance-based bonuses.
  • Private health insurance.
  • A dedicated learning budget to help you sharpen your skills.
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