python backend developer for app marketing platform

SplitMetrics; United States; Remote; USD 140,000 - 200,000; Full time

Benefits offered by this job

Vacation & holidays

Medical insurance

Paid sick leave

Conferences & dev courses

Mobility program

Office hubs & coworking

Flexible schedule

Job summary

SplitMetrics ищет опытного backend-инженера на Python для разработки масштабируемых систем и обработки больших объемов данных. Вы будете работать над интеграциями с внешними каналами и архитектурой микросервисов, обеспечивая оптимизацию запросов и надежность пайплайнов.

Кандидат должен владеть PostgreSQL, Docker и Kubernetes, а также опытом работы в облаке и CI/CD. Предлагаются гибкие условия и профессиональное развитие.

Qualifications

• 5+ лет коммерческого опыта Python.
• Отличное знание SQL.
• Опыт с PostgreSQL и оптимизацией движка.
• Опыт на микросервисной архитектуре.
• Опыт по modern CI/CD подходам и инструментам.

Responsibilities

• Разрабатывать масштабируемые высоконагруженные системы на Python.
• Обеспечивать обработку 200-400M+ записей в день.
• Разрабатывать интеграции через единый абстрактный слой и API.
• Обеспечивать качество данных через валидацию, сверку и мониторинг актуальности.
• Строить и поддерживать пайплайны данных: загрузка, нормализация, дедупликация, backfills.
• Повышать надежность, наблюдаемость и экономическую эффективность систем.
• Проектировать, развёртывать, поддерживать продукты и переписывать устаревшие решения на современные технологии.

Skills

Python

SQL

Microservices

CI/CD

API integration

Tools

PostgreSQL

Kubernetes

Docker

AWS

GCP

Job description

Описание

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.

Задачи

• 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

Требования

• 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
• Будет плюсом: experience with analytical/columnar storage (ClickHouse, BigQuery, Snowflake, Redshift), message brokers, AdTech/mobile marketing (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)

Условия

• 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