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Tap Growth ai

Tap Growth ai

Senior Staff Engineer - Data & ML Ops Platform

Austin, USVor OrtUnbefristetVollzeit

Veröffentlicht am 11. Sept. 2026

Diese Stelle wird in EN ausgeschrieben

🌟 We're Hiring: Senior Staff Engineer - Data & ML Ops Platform! 🌟

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.

📍 Location: Austin, United States

⏰ Work Mode: Work from Office

💼 Role: Senior Staff Engineer - Data & ML Ops Platform

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? 🚀 Apply now and help us build tomorrow's platform!

Rollenübersicht

Jobart

Vollzeit

E-Mail

recruiter@tapgrowth.ai

Erforderliche Kompetenzen

Data EngineeringMLOpsAWSAzureGCPPythonJavaScalaDockerKubernetesSolution ArchitectureData Pipeline DesignModel DeploymentTeam LeadershipStakeholder Collaboration

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