AWS Data & ML Infrastructure Engineer

Matter Intelligence; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Early-stage equity package

100% employer-paid health, dental, and vision coverage

Job summary

A progressive technology company in San Francisco is looking for a Data Infrastructure Engineer to design and operate data and ML infrastructure on AWS. The ideal candidate will have strong software engineering fundamentals and experience building production systems, particularly in distributed environments. You'll partner with research teams to enhance data workflows and ensure operational excellence. The position offers a competitive compensation package, including healthcare coverage and equity.

Qualifications

• Experience building production data infrastructure or distributed systems.
• Strong programming skills in Python and SQL, with the ability to choose the right abstractions.
• Experience working with AWS and modern infrastructure tooling.

Responsibilities

• Design, build, and operate scalable data and ML infrastructure on AWS.
• Build and maintain systems for ingestion, processing, storage, and serving.
• Partner with research to support perception model training and evaluation workflows.

Skills

Software engineering fundamentals

Distributed systems design

Programming in Python

SQL

AWS

Kubernetes

Operational excellence

Tools

Docker

Terraform

Postgres

Redis

Metaflow

Job description

A progressive technology company in San Francisco is looking for a Data Infrastructure Engineer to design and operate data and ML infrastructure on AWS. The ideal candidate will have strong software engineering fundamentals and experience building production systems, particularly in distributed environments. You'll partner with research teams to enhance data workflows and ensure operational excellence. The position offers a competitive compensation package, including healthcare coverage and equity.