Senior Backend Engineer (Python) - AI
SplitMetrics · Full-time · Posted 2w ago
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.
For over 11 years, we’ve been at the forefront of the mobile marketing industry, building an ecosystem of market-leading technologies.
An Apple Ads Partner, SplitMetrics is the 1st company to build the Apple Ads management platform.
Working with top mobile companies and brands globally: Skyscanner, Glovo, Flo, Babbel, Wooga and many more.
Generating an impressive transaction volume, with over $1 billion in ad spend flowing through our ecosystem.
Integrated AI into our strategic approach since 2023.
Effectively collaborate across 20+ countries with a remote-first and supportive culture.
We’re looking for a Senior Backend Engineer (Python) who will join our team.
What will you do:
Design and build backend services in Python (FastAPI)
Implement async job execution and status tracking (Redis/Celery/Kafka)
Integrate with LLM services (internal & external)
Build and maintain external MCP servers that expose our platform to third-party AI agents and clients
Develop ETL pipelines and ensure data quality across ingestion, transformation, and storage
Ensure stability, observability, and cost-efficient inference
About you:
4+ years Python backend experience
Strong FastAPI experience
Solid PostgreSQL + S3 (or equivalents)
Experience with async task queues (Celery, Redis, Kafka)
Production experience integrating with microservices: long-running jobs, retries, failure handling
Solid hands-on experience with agentic AI: building MCP servers, implementing agents, and working with various LLMs and other generative models
Genuine enthusiasm for agentic AI and keeping up with how the field evolves
Basic observability skills (logging, monitoring, alerting)
Experience in cross-functional teams (frontend, ML)
Experience with AWS infrastructure, Docker, Kubernetes
It would be great if you have:
Familiarity with LangChain or agentic workflows
Marketing technology background (ad platforms, creative tools)
Experience with StarRocks (or other OLAP databases, ex. Clickhouse)
Time Off: Vacation and public holidays following your country's regulations. Additional PTOs annually for personal rejuvenation.
Health and Wellness: Medical insurance or health care compensation. Paid sick leave to prioritize your well-being.
Professional Development: Top online/offline conferences and mobile industry events. Internal courses for continuous professional development.
Performance and Growth: Micro-management-free and supportive management style. Semi-annual performance review sessions. New career opportunities through our internal mobility program.
Team Engagement: Corporate online events and offline team retreats. Collaboration between teams through shared OKRs. Environment conducive to open dialogue and constructive feedback.
Work Flexibility: Flexible working schedule for a better work-life balance. Remote-first working environment.
Workspace Options: Coworking costs coverage program. Office hubs in key locations for a convenient and productive work environment.
At SplitMetrics, our values are not just words — they guide everything we do. To achieve our ambitious goals and maintain success, we stand united by our core behaviors:
Move Fast
Get Sh*t Done
Build Together
Strive for Transparency
Own What You Do
Learn + Share = Excel
Remote 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.
New Zealand