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Über
We are growing our team and adding a DevOps/Infrastructure Engineer to our team focused on platform architecture, CI/CD, and observability infrastructure. In this role, you will own the technical architecture and implementation of our cloud‑native, and highly scalable RAG applications. You will design and manage the infrastructure, deployment pipelines, and operational procedures for delivering enterprise‑grade AI/ML products. We’re looking for someone who will drive DevOps best practices and work with engineering teams to implement them effectively. You will own the platform’s reliability, scalability, and operational excellence across multiple cloud environments and on‑premises deployments. If you are looking for an opportunity to architect and drive modern DevOps practices for cutting‑edge AI/ML products in industry, we would love to hear from you!
In This Role, You Will
Design and implement cloud-native architectures for AI/ML applications using Kubernetes (GKE, EKS, AKS)
Architect and maintain CI/CD pipelines using modern GitOps practices with tools like FluxCD and BitBucket
Design and implement observability solutions using Prometheus, Grafana, and other monitoring tools
Create and maintain Infrastructure as Code (IaC) using Terraform
Implement container orchestration strategies using Docker, Kubernetes, and Helm
Design and implement multi-cloud deployment strategies
Establish SLOs/SLIs and implement SRE best practices
Automate operational tasks and create self‑healing systems
Mentor team members on DevOps best practices
Collaborate with ML engineers and researchers to optimize model deployment and serving infrastructure
Stay current with emerging technologies and best practices in the DevOps/MLOps space
What You’ll Need to Be Successful
7+ years of experience in DevOps/Platform engineering
Deep expertise in Kubernetes, Helm and container orchestration
Strong experience with a major cloud provider (GCP, AWS, Azure)
Experience with CI/CD tools and GitOps practices
Proficiency in Go, Python, or similar programming languages
Experience with observability tools (Prometheus, Grafana, etc.)
Knowledge of security best practices and compliance requirements
Experience with Infrastructure as Code and configuration management
(Desirable) Experience with MLFlow, AirFlow, KubeFlow or Ray
BS degree in Computer Science or related field
Excellent communication and collaboration skills
Strong problem‑solving abilities and systematic thinking
Experience working in an Agile environment
Benefits for Full Time Employees
Remote first organization
100% Company paid Health/Dental/Vision benefits for you and your dependents
Life Insurance, Short‑term and Long‑term Disability
401k
Unlimited PTO
We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time.
Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation’s civil rights laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Sprachkenntnisse
- English
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