Senior Python Engineer

📋 Description

• • Design, develop, and maintain scalable backend services using Python and FastAPI to support SplitMetrics’ ecosystem of mobile marketing products, including Apple Ads automation, A/B testing, and ASO platforms.
• • Implement and manage async job execution systems using Celery, Redis, and Kafka to handle long-running tasks such as ad campaign optimization, data processing, and media analysis with high reliability and fault tolerance.
• • Integrate internal and external Large Language Models (LLMs) into production workflows, enabling AI-driven decision-making for ad performance, keyword recommendations, and creative optimization.
• • Ensure system stability, observability, and cost-efficient inference by implementing comprehensive logging, monitoring, and alerting solutions across microservices architecture.
• • Build and maintain data pipelines that process large volumes of binary media files, including S3 multipart uploads, CDN integration, and signed URL generation for secure media delivery.
• • Collaborate with frontend, machine learning, and data teams to deliver end-to-end features that enhance product capabilities and user experience across SplitMetrics’ platforms.
• • Optimize backend infrastructure for performance and cost, leveraging AWS services including EC2, S3, Lambda, and API Gateway, while managing containerized deployments via Docker and Kubernetes.
• • Handle complex state management for resumable, chunked job workflows with progress tracking, retry logic, and failure recovery mechanisms for media processing and high-volume ad data.
• • Contribute to the evolution of the tech stack by evaluating and integrating new tools and frameworks, particularly in the areas of OLAP databases (e.g., StarRocks, ClickHouse) and agentic AI workflows.
• • Maintain and extend integrations with third-party APIs and internal microservices, ensuring seamless data flow between advertising platforms, analytics tools, and customer-facing applications.
• • Participate in cross-functional OKRs and technical planning cycles, providing backend expertise to align engineering efforts with product goals and business outcomes.
• • Support continuous improvement of deployment pipelines, infrastructure-as-code practices, and secure access controls for cloud-based services used across 20+ countries.
• • Document system architecture, API contracts, and operational procedures to ensure knowledge sharing and reduce onboarding friction for new team members.
• • Proactively identify bottlenecks and scalability issues in existing services and propose scalable, maintainable solutions aligned with SplitMetrics’ growth and AI strategy since 2023.
• • Contribute to code reviews, pair programming sessions, and technical design discussions to uphold high standards of code quality and architectural consistency across the backend team.
• • Work within a remote-first, globally distributed team culture that values transparency, ownership, and collaborative problem-solving across time zones in Europe.