Senior Software Engineer (Backend) - AI/ML Environments

FDE Times; Mountain View (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Annual Performance Bonus

Equity

Job summary

FDE Times is seeking a backend/infrastructure engineer to design and scale infrastructure enabling reliable ML/AI training and serving environments in Mountain View, CA. You will collaborate with AI infra teams, customers, and product managers to drive performance, observability, and a robust AI development experience.

The role requires 5+ years of backend or infrastructure engineering experience with strong coding skills in Python, Scala, or Java, and familiarity with distributed systems,

Qualifications

• Requires at least five years of backend or infrastructure engineering experience.
• Strong programming skills in Python, Scala, or Java.
• Experience with distributed systems, scalable APIs or cloud-native infrastructure.

Responsibilities

• Build infrastructure that lets ML/AI users configure reliable, reproducible training and serving environments.
• Collaborate with AI infrastructure teams, customers, and product managers to improve setup performance, observability, and the Databricks AI development experience.

Skills

Backend Engineering

Infrastructure Engineering

Python

Scala

Java

Distributed Systems

Cloud-Native Infrastructure

Service-Oriented Architecture

Deployment Pipelines

System Observability

Dependency Management

Virtual Environments

Containerization

Machine Learning Infrastructure

AI Infrastructure

Tools

Docker

Kubernetes

Job description

Build infrastructure that lets machine learning and AI users configure reliable, reproducible training and serving environments. Collaborate with AI infrastructure teams, customers, and product managers to improve setup performance, observability, and the overall Databricks AI development experience.

Requirements: Requires at least five years of backend or infrastructure engineering experience and strong programming skills in Python, Scala, or Java. Candidates should have experience with distributed systems, scalable APIs or cloud-native infrastructure, service-oriented architecture, deployment pipelines, observability, and dependency management technologies such as virtual environments or containers.

Key Skills: Backend Engineering, Infrastructure Engineering, Python, Scala, Java, Distributed Systems, Scalable APIs, Cloud-Native Infrastructure, Service-Oriented Architecture, Deployment Pipelines, System Observability, Dependency Management, Virtual Environments, Containerization, Machine Learning Infrastructure, AI Infrastructure

Benefits: Annual Performance Bonus, Equity