Software Engineer - Python Junior+ [Risks Scoring] at Plata Card

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

Requirements

Must-haves

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
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
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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythondockersqlkubernetesci/cdml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Wellness