Senior Engineer, Infrastructure (DevOps)

Pryon; United States; À distance; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Remote first organization

100% Health/Dental/Vision benefits for

Life Insurance, Short-term and Long‑R

Résumé du poste

Pryon is seeking a DevOps/Infrastructure Engineer to own platform architecture, CI/CD, and observability for cloud-native AI/ML products. You will drive reliability, scalability, and operational excellence across cloud and on-prem environments, with opportunities to shape modern DevOps practices and collaborate with ML teams.

We value 7+ years in DevOps, strong Kubernetes/Helm expertise, and experience with FluxCD, Terraform, and Prometheus.

Qualifications

• 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.
• Excellent communication and collaboration skills.
• Strong problem-solving abilities and systematic thinking.
• Experience working in an Agile environment.

Responsabilités

• Design cloud-native architectures for AI/ML applications using Kubernetes (GKE, EKS, AKS).
• Architect and maintain CI/CD pipelines using GitOps with FluxCD and BitBucket.
• Design observability solutions using Prometheus, Grafana, and other tools.
• Create and maintain IaC using Terraform.
• Implement container orchestration with Docker, Kubernetes, and Helm.
• Design multi-cloud deployment strategies and SRE practices.
• Mentor teammates on DevOps best practices.
• Collaborate with ML engineers to optimize model deployment and serving infrastructure.

Connaissances

DevOps

Platform engineering

Go/Python

Communication

Agile

Formation

Bachelor's degree in Computer Science

Outils

FluxCD

Bitbucket

Prometheus

Grafana

Terraform

Docker

Kubernetes

Helm

Description du poste

About Pryon:

We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed.

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.