Senior Backend Engineer (Python) - AI

SplitMetrics; Lisboa; Teletrabalho; EUR 70 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Time Off

Medical insurance

Conferences attendance

Performance reviews

Team events

Remote-friendly culture

Coworking costs

Resumo da oferta

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.

We’re looking for a Senior Backend Engineer (Python) to design and build robust backend services using FastAPI, integrate with AI platforms, and ensure scalable, observable infrastructure across AWS, Docker, and Kubernetes.

Qualificações

• 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

Responsabilidades

• 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

Conhecimentos

Python backend

FastAPI

PostgreSQL

S3 / cloud storage

Redis / Kafka / Celery

microservices

LLM / agentic AI

observability

AWS / Docker / Kubernetes

Ferramentas

Docker

Kubernetes

Redis

Kafka

Celery

PostgreSQL

S3

Descrição da oferta de emprego

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.

Why SplitMetrics?

• 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)

What is there for you?

• 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.

Our Culture

• 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.