[Hiring] Senior Infrastructure Engineer @Bertelsmann-Jobs

Role Description

The Data Science team at Penguin Random House builds recommendation systems, forecasting models, and AI-powered tools that shape how readers discover books across our platforms. Our team of scientists and engineers develops and operates these systems end-to-end, from research through production.

We are building a dedicated cloud environment on AWS, along with ML platforms that enable our scientists to deliver models to production quickly. We are hiring a Senior Infrastructure Engineer to build and maintain the foundational systems that support this work.

You will build on a mature MLOps foundation and work closely with AI to evolve and run our cloud platform.

Key Responsibilities:

• Design and own core components of our AWS environment used across data science products.
• Set the standards for how people and AI agents change infrastructure: review, tests and guardrails.
• Build self-service paths to production for scientists: CI/CD pipelines, promotion gates, and automated triggers, so scientists can ship models without hand-holding.
• Help maintain the security, compliance, and reliability of cloud environments.
• Shape the platform roadmap by identifying the infrastructure work that will most unblock our scientists, and keep stakeholders informed as it progresses.

Qualifications

• 5+ years building and running production systems.
• Track record of designing infrastructure components or tooling that other engineers or teams adopted.
• Hands-on cloud experience (AWS preferred).
• You can use AI agents to build and operate systems, and you can show work you shipped this way.
• Strong communication skills and ability to work closely with data scientists and engineers.
• Experience running infrastructure for ML or data-intensive workloads in production, such as model training, batch scoring or model serving.

Requirements

• Experience defining SLOs or SLAs and managing cloud cost for ML production systems.
• Experience with evaluation or error analysis of ML or LLM systems in production.

Benefits

• The salary range for this position is $185,000-$210,000.
• All positions are currently eligible for an annual profit award or bonus, subject to Company results.
• Full-time employees are eligible for our comprehensive benefits program, which includes:
• Medical/Prescription drug insurance
• Dental
• Vision
• Health Care/Dependent Care Flexible Spending Account
• Health Savings Account
• Pre-Tax and Roth 401(k)
• Short and Long-Term Disability Insurance
• Life/AD&D Insurance
• Commuter Benefits
• Student Loan Repayment Program
• Educational Assistance
• Generous paid time off