SplitMetrics

python backend developer for app marketing platform

In short

Senior Python backend developer role at SplitMetrics, a global adtech/mobile marketing software company, building scalable high-load systems processing 200–400M+ records per day and integrations with external data channels. The role requires 5+ years of commercial Python, strong raw SQL and PostgreSQL optimization skills, microservices architecture experience, and hands-on ETL/data pipeline building at scale. Fully remote position with flexible schedule and no stated salary.

About
SplitMetrics is a global software company offering an ecosystem of products and services for mobile-first businesses worldwide. Its products include Apple Ads automation and optimization, a mobile marketing agency, A/B testing, and app store optimization platforms.
Responsibilities
•Build scalable, high-load systems in Python
•Adapt the product to process 200–400M+ records per day
•Design and develop integrations with external channels using a unified, channel-agnostic data model and API
•Ensure data quality and consistency across channels through validation, reconciliation, and freshness and completeness monitoring
•Build and maintain data pipelines for ingestion, normalization, deduplication, and backfills
•Improve system reliability, observability, and cost efficiency
•Design, build, deploy, monitor, and maintain products
•Rewrite legacy systems using modern technologies
Requirements
•5+ Years of commercial Python experience
•Excellent knowledge of raw SQL
•Experience with PostgreSQL, including a deep understanding of the engine and performance optimization
•Experience building solutions based on microservices and scaling them
•Experience with modern CI/CD approaches and tools
•Experience setting up and improving development processes
•Strong focus on business implications when making architectural decisions
•Hands-on experience building data pipelines and ETL/ELT processes at scale
•Experience integrating with multiple external APIs and designing a unified abstraction layer over heterogeneous data sources
Nice to have
•Experience with analytical/columnar storage (ClickHouse, BigQuery, Snowflake, Redshift)
•Experience with message brokers
•AdTech/mobile marketing experience (ad networks, attribution, MMPs)
•Async Python for high-throughput API ingestion
•LLM-powered features or AI agents on production data
•Kubernetes, Docker and cloud platforms (AWS/GCP)
•MCP servers exposing platform data and actions to AI agents and LLM tools
•Observability tools (Grafana, Datadog)
Conditions
•Vacation and public holidays according to the employee's country regulations, plus additional annual PTO
•Medical insurance or healthcare compensation
•Paid sick leave
•Access to online and offline conferences, mobile industry events, and internal professional development courses
•Semi-annual performance reviews and career opportunities through an internal mobility program
•Corporate online events and offline team retreats; shared OKRs and an environment for open dialogue and constructive feedback
•Flexible working schedule
•Coworking costs coverage program and office hubs in key locations

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