Who We Are
We are a rapidly growing start‑up, backed by leading venture capitalists. We love information because it helps people make better decisions and drives innovation. The information economy is just getting started and our suite of information and data processing software products are starting to help people unlock the true power of information. Our journey starts in finance and capital markets where information moves trillion‑dollar markets, but this is just the beginning.
Who We Look For
We are a fin‑tech start‑up with a successful suite of products, now ready to build the next big thing. You must thrive working on open‑ended problems across a range of disciplines; we are a start‑up where our engineers do much more than just pick up JIRA tickets. A typical week may include debugging Python, deploying infrastructure changes, talking to product early‑adopters, and strategic planning with the team leads. We hire the person, not the CV; if you’re interested, we’d love to hear from you!
Responsibilities
* Working with product managers, research analysts and other engineers to define project scope and requirements.
* Maintaining, extending and improving Intropic’s suite of products.
* Writing clean, well‑tested and production‑ready Python code.
* Working alongside the team leads to design and build a great product.
* Developing REST APIs, data processing pipelines and Python libraries.
* Deploying production‑quality code; we focus on being pragmatic and impactful.
* Maintaining and monitoring production systems and assisting with support.
Qualifications
* Strong communication with both a technical and non‑technical audience.
* Independent and self‑driven learner, able to step outside of their area of expertise.
* Python – experience with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas.
* SQL – performance tuning, schema design, monitoring in production, mainly PostgreSQL.
* Experience with transformer LLMs – attractive, nice to have.
* Cloud (AWS) deployments and monitoring, basic networking and security best practices.
* Command line familiarity, git, automated testing, modern software development best practices.
* Docker, Terraform, CI/CD.
* Experience with financial data (equity securities).
* Experience with traditional ML/statistical models.
Benefits & Location
* Competitive salary, employee stock options and performance‑based bonus. Benefits include private health insurance and a dedicated learning budget.
* On‑site role at our office in 30 Churchill Place, E14 5RE, London. Remote working options are not available.
* We do not provide immigration sponsorship for this position.
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