Software Engineer - Python Junior+ [Risks Scoring]

Plata Card

United States

Hybrid

USD 65,000 - 105,000

Full time

10 days ago
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Benefits offered by this job

Relocation support
Flexible work
Healthcare Coverage
Education Budget
Wellness Budget
Vacation policy

Job summary

Plata Card is seeking a Python-focused engineer for the Risks Scoring team. You will implement scoring features, policy rules, and strategies enabling real-time decisions across Plata products.

The role involves maintaining a high-load Python service, validating changes with production traffic, and ensuring robust test coverage in a fast-paced, international environment. You will collaborate with multiple teams, build reliable data contracts, and participate in incident response to keep scoring

Qualifications

  • 1+ year of Python experience (internship, projects or work).
  • Solid Python fundamentals: OOP, dataclasses, standard library.
  • Familiar with type hints and static typing.
  • Basic experience with pydantic: models and data validation.
  • Docker and containerization understanding.
  • Practical testing experience with pytest: unit & integration tests.
  • Comfortable with Git and working in a team MR flow.
  • Basic SQL and ability to read others’ code.
  • Proactivity: raising blockers early, asking questions, following conventions.
  • B1+ English level for international team communication.

Responsibilities

  • Implement scoring features and policy rules for real-time decisions in production.
  • Maintain and develop a high-load Python service and its data contracts.
  • Ensure high-quality implementation with comprehensive tests.
  • Validate changes against production traffic before going live.
  • Respond quickly to incidents by tracing logs and restoring correct behavior.

Skills

Python programming
Python fundamentals
Type hints
Pydantic models
Unit testing
Git & MR flow
SQL basics
Proactivity
English communication
Code reading

Tools

Docker

Job description

Risks Scoring

Risks Scoring is the team responsible for the automated decision-making behind every Plata product. We integrate data from multiple sources, ship scoring models to production, and serve real-time credit decisions under strict SLAs — for credit cards, cash loans, POS lending and debit products across several countries.


Challenges that await you:


  • Implementation of scoring features, policy rules and strategies that make real-time decisions on clients in production

  • Maintenance and development of an existing high-load Python service and its data contracts

  • Ensuring high implementation quality through comprehensive test coverage

  • Validating every change against real production traffic before it goes live

  • Rapid incident response: tracing a decision through logs and restoring correct behaviour quickly


What makes you a great fit:


  • 1+ year of Python experience (internship, own projects or commercial work all count)

  • Solid Python fundamentals: OOP, dataclasses, standard library

  • Confident with type hints and static type checking

  • Basic experience with pydantic: declaring models and validating incoming data

  • Docker and an understanding of containerization

  • Practical testing experience with pytest: unit and integration tests, parametrized cases, mocking a dependency

  • Comfortable with Git and working in a team branch/MR flow

  • Basic SQL and ability to read someone else’s code before writing your own

  • Proactivity: raising blockers early, asking questions instead of guessing, following existing conventions

  • B1 or higher English level for effective communication with an international team


Your bonus skills:


  • gRPC / Protobuf

  • Kubernetes and Helm

  • CI/CD pipelines, GitLab CI in particular

  • Kafka, Pub/Sub or any other message broker and event-driven communication

  • Interest in MLOps and an understanding of how ML models get to production and are kept there


Our ways of working:


  • Innovative Spirit: A commitment to creativity and groundbreaking solutions

  • Honest Feedback: valuing open, transparent communication

  • Supportive Team: a strong, collaborative community

  • Celebrating Achievements: recognizing our wins together

  • High-Tech Environment : a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances


Our benefits:


  • Relocation support to one of our hubs — Cyprus, Serbia, or Kazakhstan — with assistance for the employee and their family

  • Flexible work from one of our offices or remote

  • Healthcare Coverage

  • Education Budget : Language lessons, professional training and certifications

  • Wellness Budget : Mental health and fitness activity reimbursements

  • Vacation policy : 20 days of annual leave and paid sick leave

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