[Hiring] Senior Backend Engineer @SplitMetrics

Role Description

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.

Qualifications

• 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.

Requirements

• 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).

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.