Senior Staff Engineer – Data & ML Ops Platform Architect

Tap Growth ai; Austin (TX); On-site; USD 190,000 - 230,000; Full time

Job summary

Tap Growth ai in Austin, TX is seeking a Senior Staff Engineer to lead our Data & ML Ops Platform initiatives. The role focuses on building scalable data and ML infrastructure, guiding cross-functional teams, and delivering end-to-end pipelines for data and model deployment.

You will partner with stakeholders to shape requirements and raise the bar on reliability and security. The ideal candidate brings 10+ years in data/ML Ops, deep cloud experience across AWS/Azure/GCP, and strong

Qualifications

• 10+ years of experience in data engineering or ML Ops.
• Cloud platform expertise (AWS/Azure/GCP).
• Proficient in Python, Java, or Scala.

Responsibilities

• Architect scalable data and ML Ops solutions.
• Lead cross-functional engineering teams.
• Design end-to-end pipelines for data processing and model deployment.
• Optimize platform performance, reliability, and security.
• Collaborate with stakeholders to define requirements.
• Mentor engineers on best practices and technical excellence.

Skills

Cloud platforms

Python

Java

Scala

Docker

Kubernetes

Leadership

Tools

Docker

Kubernetes

Job description

Tap Growth ai in Austin, TX is seeking a Senior Staff Engineer to lead our Data & ML Ops Platform initiatives. The role focuses on building scalable data and ML infrastructure, guiding cross-functional teams, and delivering end-to-end pipelines for data and model deployment.

You will partner with stakeholders to shape requirements and raise the bar on reliability and security. The ideal candidate brings 10+ years in data/ML Ops, deep cloud experience across AWS/Azure/GCP, and strong