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Jobs(38,923)/Software Engineer Role(2,536)/Lumafield (5) - Staff Backend Software Engineer
Lumafield

Lumafield - Staff Backend Software Engineer

San Francisco, CA$180k - $225k+ Equity3w ago
In OfficeStaffNACloud ComputingSoftware EngineerBackend EngineerCoachingDjangoCeleryAWSKubernetes

Requirements

• Owned architecture for complex, cloud-hosted, data-heavy products. • Demonstrated ability to coach and mentor engineering peers on architectural principles. • Experience designing for and complying with SOC2, ISO27001, ITAR, and other security compliance frameworks and standards • Extensive experience with high-traffic, data-intensive web applications. • Django + Celery at meaningful scale. • Deep expertise in Kubernetes and AWS architecture, security, and optimization. • High-throughput or large-payload APIs and pipelines. • Regulated or export-controlled environments • $180,000 - $225,000 a year • The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant. • We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship. • Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!

Responsibilities

• Own backend architecture for cloud software supporting Neptune, Triton, and Voyager (services, APIs, persistence, async processing, storage and compute integrations). • Design, build, and operate scalable Python backends (Django / DRF), Celery pipelines, and REST APIs with strong reliability, performance, and observability. • Lead complex, data-heavy workflows: uploads, project/scan lifecycle, recipe automation, task orchestration, and algorithm integration. • Architect AWS usage for backends: S3, RDS/Aurora/Postgres, IAM, networking; design SageMaker and related ML job flows (invocation, data paths, security, failure modes, cost) with ML and platform partners. • Coach and mentor engineering team members across the organization in architecture best practices and principles. • Collaborate closely with product managers and engineering leadership to align technical objectives with business deliverables. • Get your hands dirty and build – expect to be hands-on and building regularly

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