Senior Backend Engineer (Python) - Platform
About The Position
SplitMetrics is a global software company offering an ecosystem of products and services that serve as a growth engine for top mobile-first businesses worldwide. Our ecosystem includes: SplitMetrics Acquire, a platform for automating and optimizing Apple Ads. SplitMetrics Agency, a full-service mobile marketing agency staffed by top experts. SplitMetrics Optimize, an. A/B testing platform recognized as the ASO Tool of the Year. App Radar by SplitMetrics : an ASO platform with advanced keyword and competitor insights. We're searching for a Senior Backend Engineer with data engineering experience to join our Platform team. In this role you will: Build scalable, high-load systems in Python. Work with big data: adapt the product to process 200–400M+ records per day. Design and develop integrations with multiple external channels behind a unified, channel-agnostic data model and API. Ensure data quality and consistency across channels: validation, reconciliation, monitoring of freshness and completeness. Build and maintain data pipelines: ingestion, normalization, deduplication and backfills. Improve system reliability, observability and cost efficiency. Design, build, deploy, monitor and maintain products. Rewrite legacy systems with modern technologies.
Requirements
- 5+ years of commercial experience with Python.
- Excellent knowledge of raw SQL.
- Experience with data stores like PostgreSQL (deep understanding of engine, performance optimization).
- Experience in building solutions based on microservices and scaling such systems.
- Experience with modern CI/CD approaches and tools.
- Experience setting up and improving the development process.
- Strong focus on business implications when making decisions on architecture.
- Hands-on experience building data pipelines and ETL/ELT processes at scale.
- Experience integrating with many external APIs and designing a unified abstraction layer over heterogeneous data sources.
Nice To Haves
- Experience with analytical/columnar storage (ClickHouse, BigQuery, Snowflake, Redshift).
- Experience with message brokers.
- Domain knowledge in AdTech / mobile marketing (ad networks, attribution, MMPs).
- Experience with async Python for high-throughput API ingestion.
- Experience building LLM-powered features or AI agents on top of production data.
- Experience with Kubernetes, Docker and cloud platforms (AWS / GCP).
- Experience building MCP servers that expose platform data and actions to AI agents and LLM tools.
- Experience with observability tools (Grafana, Datadog).
Responsibilities
- Build scalable, high-load systems in Python.
- Work with big data: adapt the product to process 200–400M+ records per day.
- Design and develop integrations with multiple external channels behind a unified, channel-agnostic data model and API.
- Ensure data quality and consistency across channels: validation, reconciliation, monitoring of freshness and completeness.
- Build and maintain data pipelines: ingestion, normalization, deduplication and backfills.
- Improve system reliability, observability and cost efficiency.
- Design, build, deploy, monitor and maintain products.
- Rewrite legacy systems with modern technologies.
Benefits
- Vacation and public holidays following your country's regulations.
- Additional PTOs annually for personal rejuvenation.
- Medical insurance or health care compensation.
- Paid sick leave to prioritize your well-being.
- Top online/offline conferences and mobile industry events.
- Internal courses for continuous professional development.
- Micro-management-free and supportive management style.
- Semi-annual performance review sessions.
- New career opportunities through our internal mobility program.
- Corporate online events and offline team retreats.
- Collaboration between teams through shared OKRs.
- Environment conducive to open dialogue and constructive feedback.
- Flexible working schedule for a better work-life balance.
- Remote-first working environment.
- Coworking costs coverage program.
- Office hubs in key locations for a convenient and productive work environment.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
