Senior Backend Engineer (Python) - Platform
Quick Summary
At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility
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:
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.
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 Have
~1 min readExperience 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).
What We Offer
~1 min readResponsibilities
~1 min readRemote Hiring Guidelines: At SplitMetrics, we welcome team members from various countries. While all our roles are remote, certain positions may have specific eligibility requirements based on location. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Location & Eligibility
Listing Details
- Posted
- September 28, 2026
- First seen
- September 28, 2026
- Last seen
- September 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 66%
- Scored at
- September 28, 2026
Signal breakdown
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