✦ Luna Orbit — Software Engineering

Senior Software Engineer, Backend — Frontier Data

at Scale AI

📍 San Francisco, CA; New York, NY Onsite Posted April 02, 2026
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Not specified
Category Software Engineering

Senior Backend Engineer focused on Frontier Data backend systems, building scalable data pipelines and production-grade services near AI/ML workloads.

  • Own major backend systems for frontier agentic data products
  • Build scalable services and pipelines for agent workflows
  • Architect modular backend systems for evolving product needs
  • Collaborate with product, research/ML, and infrastructure teams
  • Improve system performance and cost efficiency

Backend systems with distributed architectures, containerization, and data pipelines; close coupling with AI/ML components and APIs.

The ideal candidate is a senior backend engineer with strong distributed systems experience, capable of building scalable data pipelines and production-grade AI/ML interfaces, ideally located in SF or NY.

5+ years of software engineeringStrong backend engineering fundamentals: distributed systemsAPI designdata modelingproduction reliabilityExperience with Docker and containerized development/production environmentsExperience building systems that scale: queuesasync processingworkflow enginesdata pipelinesComfort working close to AI/ML systems
Experience with AI/ML systems in productionExperience mentoring or leading teamsStartup experience
DockerKubernetesSQL / PostgreSQLPythonAPIs
PythonDockerKubernetesSQL / PostgreSQLDistributed systemsData pipelinesAPIs
PythonDockerKubernetesSQL / PostgreSQLDistributed systemsData pipelinesAPIs
problem solvingownershipcollaborationcommunicationbias toward action
Industry AI & Machine Learning
Job Function Design and build scalable backend platforms powering Scale's frontier data products
Role Subtype Backend Engineer
Tech Domains Python, Docker, Kubernetes, SQL / PostgreSQL
senior software engineerfrontendbackenddistributed systemscloud-native architecturesdockerkubernetespythonsql / postgresqldata pipelinesproduction reliabilityapissan francisconew yorkcloud-native
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