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LU
Staff Backend Software Engineer
Lumafield · San Francisco, United States
About The Role
Join Lumafield, a cutting-edge technology company, as a Staff Backend Software Engineer. In this role, you will work on the core of our cloud platform, leveraging Python to build scalable backends and lead complex data-heavy workflows. You will also own the backend architecture for our cloud software and collaborate closely with product managers and engineering leadership. This position offers a range of benefits, including health coverage, paid parental leave, equity, and a flexible vacation policy.
- Architect and own the backend architecture for cloud software supporting various services, ensuring scalability, reliability, and performance.
- Design, build, and operate scalable Python backends, Celery pipelines, and REST APIs, leading complex, data-heavy workflows.
- Coach and mentor engineering team members across the organization in architecture best practices and principles, collaborating closely with product managers and engineering leadership.
- Deep PostgreSQL and AWS data/storage (S3, RDS/Aurora); solid IAM and VPC-aware patterns
- Async systems: Celery + Redis or equivalent—queues, retries, idempotency, backpressure, prod debugging
- 2+ years of startup experience
- Expert Python; 5+ years shipping production backends (Django / DRF a strong fit)
- 10+ years of experience developing software, mostly backend
- 5+ years production AWS; practical SageMaker (or similar) for services you orchestrate, not only notebooks
- Bachelor’s Degree in Engineering or a related field
- Owned architecture for complex, cloud-hosted, data-heavy products
- Experience designing for and complying with SOC2, ISO27001, ITAR, and other security compliance frameworks and standards
- Demonstrated ability to coach and mentor engineering peers on architectural principles
- Extensive experience with high-traffic, data-intensive web applications
- Django + Celery at meaningful scale
- Deep expertise in Kubernetes and AWS architecture, security, and optimization
- Regulated or export-controlled environments
- High-throughput or large-payload APIs and pipelines
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