Kalepa

Backend Engineer (Europe)

Kalepa
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3 hours ago
Remote, EMEAMid Level

Base Salary

$80k - $105k/yr

Responsibilities

  • Own and develop backend services, data and ML pipelines, and product infrastructure.
  • Build systems that ingest, process, and reason over structured and unstructured data, including documents, third-party sources, and model outputs.
  • Design and implement data-driven microservices and production systems using Python, relational databases, AWS, and asynchronous or serverless workflows.
  • Collaborate with full-stack, backend, ML, and platform engineers to design, build, test, and operate systems at scale.
  • Take end-to-end ownership of technical systems and contribute to product and R&D initiatives.

Requirements

  • 3+ years of professional software engineering experience building and shipping production systems.
  • Strong Python development skills and solid fundamentals in at least one additional programming language.
  • Experience with relational databases, preferably PostgreSQL.
  • Experience with AWS and asynchronous or serverless workflows, including services such as EC2 and Lambda.
  • Ability to design and build data-driven microservices.
  • Degree in computer science, mathematics, engineering, or a related field, or equivalent practical experience.
  • Strong design, debugging, problem-solving, ownership, and ambiguity-management skills.
  • Curiosity about AI, data, and real-world machine learning applications.

Benefits

  • Fully remote work from Europe.
  • Onsite team events in Warsaw and global team offsites.
  • Significant equity options package.
  • 20 days of paid time off per year.
  • Gym, phone, and learning stipend reimbursement.
  • Opportunity to work on core systems with production responsibility from day one.

Categories

Kalepa

About Kalepa

51-200 employees

Make better underwriting decisions, faster with Kalepa. Kalepa delivers Professional Grade AI for profitable underwriting - instantly analyzing submissions, surfacing critical risk insights, and pinpointing the most profitable opportunities with the speed and precision modern risk demands.

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