Senior Python Backend Engineer

Geomagical Labs is a visual AI research & development company based in the San Francisco Bay Area. We apply novel computer vision technologies to mixed-reality consumer applications that will reach hundreds of millions of users. Geomagical Labs is crafting advanced AI algorithms into exciting consumer experiences for a well-known and beloved global brand, with hundreds of millions of users.

We have an opening for a high-impact Python backend engineer who is excited to help organize and lead a team to build cloud services, APIs, data pipelines and tools for mass-scale, AI-powered, consumer apps. This could be a great opportunity for an ambitious, hands-on, backend engineer with strong systems architecture skills and interests in mass-scale platforms, backend infrastructure, performance engineering, and machine learning.

Responsibilities

• Organize and lead a small team of backend platform engineers --- guiding the architecture, planning & tracking the team’s projects and defining roadmaps.
• Design and develop reliable and high-performance backend APIs to power our customer facing services.
• Create internal applications and tools to support the company’s engineering teams
• Benchmark and optimize performance of key APIs, micro-services, and databases.
• Build infrastructure to measure, monitor, and enhance our real-time AI and service pipelines and key business analytics.
• Mentor and develop engineers within the Platform Engineering team as well as serving as an engineering bar-raiser across company-wide engineering organizations.
• Interface with other teams in the IKEA family to integrate our capabilities into new IKEA websites and services.

Requirements

• History of maintainable backend systems design and architecture.
• Emotionally-intelligent leadership skills -- able to lead through respect and example.
• Strong expertise in Python and web API development.
• Thorough understanding of Git development workflows and branching.
• Proficiency with SQL (especially PostgreSQL).
• Experience planning sprints and coordinating within and between teams.
• Strong English communication skills, both verbal and written.
• Remote work is awesome, but must be able to work most of a Pacific Time work day (UTC-7/8).

Preferred qualifications

• Experience with Django and common Django ecosystem tools such as Django-REST-Framework.
• Experience with container tools like Docker and Kubernetes.
• Experience with task/message queues and job scheduling systems (e.g. Celery, RabbitMQ, Airflow, Dagster, etc.).