Production Backend Engineer (Python, Data Pipelines, APIs) for iGaming R&D

About us

We are a product R&D company that creates solutions for the dynamic iGaming ecosystem. Our

mission is to build cutting-edge platforms that reinvent the iGaming industry.

About the team

We are a focused engineering team of 5 to 9 people at a multi-product tech SaaS company. We

work across personalization, recommendation, fraud detection, and some GenAI, through real-

time, near-real-time, and batch pipelines. The team is a blend of Python backend engineers, ML

engineers, QA (manual and automation), a data engineer, and data scientists. Our shared

mandate is to take experimentation from our data scientists and turn it into robust, production-

grade systems, either as standalone services or integrated into wider platforms.

The role

You will build and operate production backend systems alongside senior engineers and a hands-

on engineering manager, owning your work end to end and growing into the harder problems.

The systems you work on are either part of a larger SaaS backend or run as standalone services:

batch and event-driven pipelines, stream consumers, feature stores, REST APIs, scheduled jobs

and background workers.

Responsibilities

• Design and build production Python services: APIs, stream consumers, pipelines, feature

stores, scheduled jobs, background workers

• Write and tune the SQL and schemas these services depend on

• Uphold engineering standards: code quality, testing, observability, deployment discipline

• Productionize data scientists' experimentation into reliable services

• Diagnose and fix problems in production

• Contribute to design discussions and the implementation approach for the systems you

work on

• Review code and help raise the bar for what the team ships

• Take part in the team's on-call rotation for the systems you build and operate

Requirements

• 3+ years of backend engineering experience

• Strong Python: async, data processing, and working with Redis, Kafka and database clients

• Deep database skills — non-trivial SQL, query plans, index design, transactions and isolation

levels, and concurrency

• Experience across relational and non-relational stores, and when to choose which

• Good working knowledge of Docker and CI/CD, enough to partner well with DevOps

• Experience owning a service in production

Nice to have

• Graph databases (Neo4j or similar)

• PostgreSQL internals: MVCC, autovacuum and bloat, partitioning, connection pooling

• PySpark, Databricks

• Kubernetes

• Experience building LLM-powered systems, including the vector stores behind them

• Fraud detection, recsys, or personalization systems experience

• Prometheus and Grafana

• SaaS or high-scale product domain experience

Why join us

• Work on high-scale, high-throughput backend systems

• Broad range of technologies, stacks, and problems

• Take experimentation from data scientists and turn it into production systems

• A strong engineering culture that values technical depth and ownership

• A technically strong environment with a modern stack and a mature Agile culture

• High autonomy, decision-making authority, and close cooperation with leadership

• Room to contribute your own ideas for improvement and see them implemented

• Flexibility through hybrid and remote working

• A distributed team across Dubai and Europe

• Discretionary annual bonus, based on individual, team, and company performance

• Comprehensive medical insurance

• Annual flight allowance

• Visa sponsorship

• Annual leave

• Learning and conference budget

• Company-paid AI coding assistant

Interview stages

1. HR interview (30 minutes) — initial conversation about your experience, career goals, and

cultural fit

2. Technical interview (1 hour) — in-depth technical interview covering relevant skills

3. Technical design interview (1.5 hours) — system and database design

4. Final interview (30 minutes) — a discussion with the hiring manager, focusing on role-

specific competencies and alignment with company values

5. Reference check & job offer