Middle Python BE Engineer
# Middle Python BE Engineer **Suntech Innovation** · Dubai · `On-site` 🕒 **Статус:** *Опубликовано: 13 дней назад* · *Источник: Indeed* --- ### About the Role 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
Наблюдалась 2026-10-06, впервые 2026-09-23, источник — Indeed.