Engineer, ML Infrastructure (Kubernetes/AWS) (Open to remote)
Engineer, ML Infrastructure (Kubernetes/AWS) (Open to remote)
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$ 140000 - 160000
1 Vacancy
Job Description
Penguin Random House is looking for a skilled ML infrastructure engineer with expertise in AWS and Kubernetes to join our team. While Kubernetes will be a key focus this role also requires working across our broader cloud systems such as Databricks and Snowflake to ensure infrastructure decisions support the full ML lifecycle.
In this role you will work closely with our development operations and data science teams to ensure the reliability and scalability of our cloud infrastructure and to ensure it is well-integrated with ML development patterns. This is a hands-on engineering role focused on creating the foundation that enables fast compliant and reliable ML delivery at scale.
Specific responsibilities include:
- Designs implements and manages Kubernetes clusters on AWS using tools like Terraform; automates the deployment scaling and monitoring of containerized applications.
- Automates deployment and scaling of ML containers and cloud-native services.
- Supports infrastructure integration with platforms such as Databricks and Snowflake. Ensures the security and compliance of cloud infrastructure and applications.
- Monitors infrastructure performance and troubleshoots issues across cloud services and orchestration layers.
- Stays up-to-date with the latest trends and technologies in cloud computing and container orchestration.
Please apply if you meet the following qualifications:
- Proven experience with AWS cloud services Kubernetes and Docker
- Strong background in Linux systems engineering
- Proficiency in programming languages such as Python Java or Go
- Strong understanding of CI/CD tools such as GitLab CI
- Knowledge of infrastructure as code tools like Terraform
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
- Holds a CKA or CKAD certification from Cloud Native Computing Foundation
- Comfortable collaborating across DevOps infrastructure and ML teams
Preferred Qualifications:
- Experience with monitoring tools like Prometheus Grafana Datadog and Splunk
- Prior exposure to platform reliability observability and operational scaling challenges
- Experience with the deployment and scaling of ML models and workloads in production environments
The salary range for this position is $140000 - $160000. All positions are currently eligible for annual profit award or bonus subject to company results.
Please apply by August 15 2025 and include your resume and cover letter for consideration. Before applying for any role at Penguin Random House we recommend you review our applicant resources pageand ourFAQs page.
Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role and candidates relevant experience and qualifications.
Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include but are not limited to 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.
Penguin Random House is the leading adult and childrens publishing house in North America the United Kingdom and many other regions around the publishing the best books in every genre and subject for all ages we are committed to quality excellence in execution and innovation throughout the entire publishing process: editorial design marketing publicity sales production and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell Berkley Clarkson Potter Crown DK Doubleday Dutton Grosset & Dunlap Little Golden Books Knopf Modern Library Pantheon Penguin Books Penguin Press Penguin Random House Audio Penguin Young Readers Portfolio Puffin Putnam Random House Random House Childrens Books Riverhead Ten Speed Press Viking and Vintage among others. More information can be found at Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race national origin religion age color sex sexual orientation gender identity disability or protected veteran status.
Company:Penguin Random House LLC
Country:United States of America
State/Region:New York
City: New York
Postal Code:10019
Job ID:281902
Employment Type
Full Time
