Senior Staff Engineer - Data & ML Ops Platform

RAPSYS TECHNOLOGIES PTE LTD; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD is seeking an experienced Senior Staff Engineer to lead Data & ML Ops Platform initiatives. The role focuses on building scalable data pipelines and robust ML infrastructure, with leadership across engineering teams.

You will architect end-to-end data/ML workflows, drive platform performance, and mentor engineers while collaborating with stakeholders to define requirements and ensure security and reliability.

Qualifications

• 10+ years in data engineering or ML Ops.
• Proven cloud platform experience (AWS/Azure/GCP).
• Strong coding in Python/Java/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

Data engineering

ML Ops

Cloud platforms

Python/Java/Scala

Docker/Kubernetes

Leadership

Communication

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

We are seeking an experienced Senior Staff Engineer to lead our Data & ML Ops Platform initiatives. The ideal candidate will bring deep technical expertise, leadership skills, and a passion for building robust data and machine learning infrastructure. Join us in shaping the future of intelligent platforms with cutting-edge technology.

What You'll Do:

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

What We’re Looking For:

• Minimum 10 years of experience in data engineering or ML Ops
• Proven expertise in cloud platforms (AWS, Azure, GCP)
• Strong proficiency in Python, Java, or Scala
• Experience with containerization and orchestration tools (Docker, Kubernetes)
• Leadership skills with a track record of driving complex projects
• Excellent communication and collaboration abilities

Eager to drive innovation? help us build tomorrow's platform!