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Risk Ops Engineer

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Onsite

Risk Ops Engineer

inDrive

Risk Ops Engineer

Skills

DockerPythonGolangMicroservicesMySQLGitLabGrafanaMachine LearningAWSPrometheusGitHubn8nRisk Management

1 month ago

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Important information


Contract type:

Permanent

Location:

Limassol, Cyprus

Work mode:

Onsite

Published on:

15 October 2026

What they need


Department: inDrive Money

Location: Cyprus

Description We are looking for a hands-on Risks Ops to own and evolve our core Decision-Making System (DMS) and credit processing engine. In this role, you will bridge the gap between risk management, and core engineering, leading a focused team of developers to design, build, and optimize high-throughput, low-latency decisioning engines.

You will play a pivotal role in streamlining time-to-market for credit strategy changes, integrating advanced ML scoring models, and replacing legacy software with modern, scalable, in-house microservices architecture.

Key Responsibilities

  • Technical Leadership & Ownership: Take full ownership of the end-to-end Decision-Making System (DMS) lifecycle, including system architecture, deployment pipelines, production monitoring, continuous code cleanup, and performance optimization.
  • Cross-Functional Collaboration: Partner closely with Risk Analysts and Data Scientists to translate complex business logic, risk rules, and ML scoring models (application, behavioral, fraud) into production-ready software.
  • Team Leadership & Delivery: Implement core logic of DMS system to suit the needs of InDrive's lending vertical. Code reviews, release management, and performance evaluations while fostering an efficient, agile environment.
  • Process Optimization: Reduce time-to-market for credit strategy updates by modernizing delivery workflows, introducing automated regression/retrospective testing, and eliminating dependencies on legacy release cycles.
  • Architecture & System Integration: Drive the evolution of our high-volume microservices ecosystem (Golang, AWS). Integrate internal and external services (credit bureaus, collection platforms, fraud detection services) via REST APIs and event-driven pipelines.

Skills, Knowledge and Expertise

  • Fintech & Credit Decisioning Expertise: 7+ years of total backend engineering experience, with deep domain expertise in financial technology, credit conveyors, loan processing, debt collection systems, or automated decisioning engines.
  • Risk-Ops experience: be familiar with any popular decision-engine (gorules, n8n, camunda, SAS RTDM, FICO Blaze Advisor etc…)
  • Stack: Strong expertise in Golang / Python, and build tools (Gitlab CI), AWS-related experience will be a huge plus.
  • Data Management: Proficiency with relational and non-relational databases (MySQL, AuroraDB, DynamoDB, GBQ).
  • DevOps, CI/CD & Observability: Hands-on experience with modern CI/CD tools (GitLab CI, GitHub Actions), containerization (Docker), and system monitoring tools (Prometheus, Grafana).

Why join us

  • Help us challenge injustice by creating fair choices for millions of people across 47 countries.
  • Develop your professional skills with access to mentoring, career consulting, and learning programs.
  • Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
  • Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
  • Work alongside people who take initiative, speak openly, and challenge themselves to grow.
  • Improve your language skills through co-financed courses and internal speaking clubs.
  • Annual salary from 54 200 EUR gross.

Final benefits may vary depending on the location.

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