Backend Software Engineer

Lumafield
San Francisco, US
On-siteCareer-pivot friendly

Who this role is best for

Best suited to mid-level backend engineers with Python expertise who thrive in full-cycle development from coding to deployment in cloud and on-premises environments.

Best fit for

  • Python developers experienced with Docker and Kubernetes deployments
    — “build your code into Docker containers and deploy them to our different environments
  • Engineers comfortable owning code from development through production
    — “backend team also owns their code all the way through deployment
  • Candidates with parallel processing experience in data-intensive applications
    — “massively parallelized data processing pipelines operating on our X-Ray and CT image data

Things to consider

  • Role involves deploying to both cloud and on-premises infrastructure
    — “deploy them to our different environments including cloud Kubernetes clusters and on-premises servers

How to stand out

  • Demonstrate concrete examples of optimizing Python for performance
    — “ensure that we’re getting the most out of the language
  • Show experience with REST API design for cloud platforms
    — “work on the core of our cloud platform from REST APIs
  • Highlight any background in medical or industrial imaging systems
    — “operating on our X-Ray and CT image data
Pace · Fast PacedCollaboration · MediumAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • building REST APIs
  • massively parallelized data processing pipelines
  • deploying code to cloud Kubernetes clusters
Typical background
experience in backend developmentknowledge of cloud technologies

Skills & requirements

Required

Backend DevelopmentREST ApisData Processing PipelinesPythonDockerKubernetes

Preferred

Computer VisionCloud Computing

Stack & domain

Python

About the role

Original posting from Lumafield via Lever

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 environments including cloud Kubernetes clusters and on-premises servers.

Source: Lumafield careers (Lever)

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