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# Backend Engineer (Europe)

- **Company:** Kalepa
- **Location:** UK (Remote available)
- **Experience:** Expert
- **Salary:** £80,000.0 - £105,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Relational Databases, Software Debugging, Python (Programming Language), PostgreSQL, Machine Learning, Software Engineering, Unstructured Data, Backend, Build Management, Information Technology, Data Analytics, Machine Learning Operations, Software Coding, Restful APIs, Serverless Computing, Microservices
- **Published:** September 24, 2026
- **Apply:** https://www.workingnomads.com/job/go/1887788/

## About the Role

* Have 3+ years of professional software engineering experience building and shipping production systems
 * Have excellent development skills including design, debugging, and problem solving
 * Are strong in Python, with solid fundamentals in at least one other language
 * Have worked with relational databases, with a preference for PostgreSQL
 * Have experience with AWS and asynchronous or serverless workflows (EC2, Lambda, etc.)
 * Can design and build data-driven microservices leveraging RESTful APIs
 * Have a degree in computer science, mathematics, engineering, or a related field, or equivalent practical experience
 * Enjoy writing code and solving non-trivial technical problems
 * Are curious about AI, data, and real-world applications of machine learning
 * Take ownership and are comfortable working with ambiguity
 * Move fast, learn quickly, and value high standards
 * Appreciate direct feedback, meritocracy, and transparency

## Description

Salary range: $80k - $105k USD*

We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work.

As a core engineer at Kalepa, you'll work on real product and R&D systems at the intersection of software engineering and applied AI. You will own backend services, data and ML pipelines, and the infrastructure behind our product used by commercial insurance underwriters.

You'll build and improve systems that ingest, process, and reason over large volumes of structured and unstructured data, including documents, third-party sources, and model outputs. This is hands-on engineering work on problems that matter to the business, with ownership of systems end to end.

You'll collaborate closely with experienced full-stack, backend, ML, and platform engineers, and you'll be expected to shape how production systems are designed, built, tested, and operated at scale. We're a small team where individual contributions have an outsized impact on both our technology and our business.


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