Senior Python Backend Engineer

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 be a senior engineer on the team, building and operating backend systems and setting a high bar through your work. You will contribute significantly to architecture and technical direction and strongly influence how we build, working alongside other senior engineers and a hands-on engineering manager, while staying hands-on across the hardest 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, and background workers.

Responsibilities
Contribute significantly to the architecture and implementation approach for the team's backend systems, and influence technical direction
Design and build production Python services: APIs, stream consumers, pipelines, feature stores, background workers
Set and uphold engineering standards: code quality, testing, observability, deployment discipline
Take ownership of deployment and release, partnering with DevOps on Docker, Kubernetes, and CI/CD
Productionize data scientists' experimentation into reliable services
Raise the technical bar through review, mentorship, and example
Take part in the team's on-call rotation for the systems you build and operate
Partner with product and business stakeholders to shape and scope work

Requirements
5+ years of backend engineering experience
Strong Python: async, data processing, Redis, Kafka, and database clients, PySpark
Strong relational database skills, plus Redis and Kafka (design and performance tuning)
Good working knowledge of Docker, Kubernetes, and CI/CD, enough to partner well with DevOps
Experience contributing to and influencing architecture and implementation approach for a team
Deployment and release ownership
Product mindset, comfortable speaking to customers and business stakeholders

Nice to have
Databricks experience
Experience building LLM-powered systems, including human-in-the-loop and agentic workflows
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 distributed team across Dubai and Europe

You will get:
Work in a technically strong environment with modern stack and mature Agile culture;
High autonomy, decision-making authority, and close cooperation with leadership;
A position in a product development company with a dynamic environment and several concurrent projects;
Opportunity to contribute (your ideas for improvement implementation);
Continuous self-improvement and growth, including budget for certifications and courses;
Competitive salary plus annual bonus, based on individual, team, and company performance;
Company prepaid AI agent;
Medical insurance coverage;
English language courses;
Wellbeing package: online-yoga classes, Yakaboo, BetterMe App: Health Coaching, BetterMe App: Mental Health;
Corporate events and fun team-building activities;
Remote-first culture (with a possibility to work from our Kyiv office)

Interview Stages:
HR Interview (30-45 minutes) — Initial conversation to discuss your experience, career goals, and cultural fit.
Technical Interview (1 hour) — In-depth technical interview covering relevant skills.
Technical Design Interview (LLD/HLD) (1 hour) — In-depth technical interview covering relevant skills.
Final Interview (1 hour) — A comprehensive discussion with the hiring manager, focusing on role-specific competencies and alignment with company values.
Reference Check & Job Offer