Lumafield
Tech / AI / Software
StaffBackendSoftwareEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Staff Backend Software Engineer at Lumafield. Skills: Backend architecture, Scalable Python backends, Django / DRF, Celery pipelines, REST APIs, AWS, PostgreSQL, SageMaker, Docker, Kubernetes. 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 reliability, performance, and obser”
What You'll Achieve.
Deliver greatest possible insight into products; Offer unprecedented visibility into products; Generate quantitative data; Align technical objectives with business deliverables
Industry & Context.
AI-driven tools that highlight problems and generate quantitative data
Unable to sponsor or take over sponsorship of employment visas, Must be legally authorized to work in the United States without current or future sponsorship
What They're Looking For.
Must Have
10+ years of experience developing software, mostly backend, Expert 5+ years shipping production backends (Django / DRF a fit), Deep PostgreSQL and AWS data/storage (S3, RDS/Aurora); solid IAM and VPC-aware patterns, 5+ years production practical SageMaker (or similar) for services you orchestrate, not only notebooks, Async systems: Celery + Redis or equivalent—queues, retries, idempotency, backpressure, prod debugging, 2+ years of startup experience, 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, Legally authorized to work in the United States without current or future sponsorship
Nice to Have
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
What You'll Do.
Own backend architecture for cloud software supporting Neptune
and Voyager (services
storage and compute integrations)
and operate scalable Python backends (Django / DRF)
and REST APIs with reliability
data-heavy workflows: uploads
project/scan lifecycle
and algorithm integration
Architect AWS usage for backends: S3
design SageMaker and related ML job flows (invocation
cost) with ML and platform partners
Get your hands dirty and build – expect to be hands-on and building regularly
How You'll Work.
Team & Collaboration
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; Collaborate with ML and platform partners on SageMaker and related ML job flows
Process & Methodology
Project lifecycle management, Scan lifecycle management, Task orchestration
Full Job Description
## Description About Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the role: On Lumafield’s Backend team, you work on the core of our cloud platform from REST APIs through to massively parallelized data processing pipelines operating on our X-Ray and CT image data. We leverage Python in order to move quickly but ensure that we’re getting the most out of the language through usage of powerful frameworks and parallelism concepts. Our backend team also owns their code all the way through deployment; you’ll work to build your code into Docker containers and deploy them to our different environment
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