Pryon

Staff Engineer, Infrastructure (DevOps Architect)

Austin, Texas, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, AI & Machine Learning, Knowledge ManagementIndustries

Requirements

Candidates should possess 7+ years of experience in DevOps or Platform Engineering, deep expertise in Kubernetes, Helm, and container orchestration, strong experience with a major cloud provider (GCP, AWS, or Azure), proficiency in Go, Python, or similar programming languages, experience with observability tools like Prometheus and Grafana, knowledge of security best practices and compliance requirements, experience with Infrastructure as Code and configuration management, and a Bachelor's degree in Computer Science or a related field.

Responsibilities

The Staff Engineer, Infrastructure (DevOps Architect) will design and implement cloud-native architectures for AI/ML applications using Kubernetes, architect and maintain CI/CD pipelines utilizing GitOps practices, design and implement observability solutions, create and maintain Infrastructure as Code using Terraform, implement container orchestration strategies, 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 to optimize model deployment and serving infrastructure, stay current with emerging technologies, and drive DevOps best practices for cutting-edge AI/ML products.

Skills

DevOps
Infrastructure
DevOps Architect
Platform Architecture
CI/CD
Observability
Cloud-native
RAG applications
Kubernetes
GKE
EKS
AKS
GitOps
FluxCD
BitBucket
Prometheus
Grafana
Infrastructure as Code (IaC)
Terraform
Docker
Helm
Multi-cloud deployment
SLOs/SLIs
SRE

Pryon

AI platform for enhancing information access

About Pryon

Pryon provides an AI-powered platform that helps organizations reduce "knowledge friction," which is the time employees waste searching for information across various formats and locations. The platform uses technologies like Computer Vision, Optical Character Recognition, and Large Language Models to read and understand content, creating a "Knowledge Fabric" that serves as a reliable source of information. This allows employees to quickly access the data they need, improving productivity and operational efficiency. Pryon operates on a subscription-based model, charging clients based on the number of users and data processed, which ensures a steady revenue stream. The goal of Pryon is to streamline information access within organizations, enabling employees to focus on problem-solving rather than searching for information.

Raleigh, North CarolinaHeadquarters
2017Year Founded
$132.8MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off

Risks

Rapid AI advancements could render Pryon's technology outdated without continuous innovation.
Reliance on Oracle Cloud Infrastructure poses risks if service agreements change.
Complex enterprise content challenges the accuracy of Pryon's Retrieval-Augmented Generation solutions.

Differentiation

Pryon transforms unstructured data into machine-readable formats with its Ingestion Engine.
The company offers a no-code AI platform, minimizing operational disruptions for clients.
Pryon's Retrieval Engine provides secure, scalable RAG solutions for complex enterprise content.

Upsides

Pryon's partnership with Carahsoft opens new revenue streams in the public sector.
Inclusion in the 2024 CB Insights AI 100 list boosts Pryon's visibility and investor appeal.
Oracle Cloud Infrastructure selection is expected to double Pryon's AI research productivity.

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