Full-Time

Devops Integration Engineer

Confirmed live in the last 24 hours

Clarifai

Clarifai

51-200 employees

Full-stack AI platform for developers

Compensation Overview

$150k - $170k/yr

Mid, Senior

Washington, DC, USA

Candidates must be based in the United States.

US Top Secret Clearance Required

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Git
Docker
AWS
Jenkins
Terraform
Ansible
Development Operations (DevOps)
Linux/Unix
Google Cloud Platform
Requirements
  • Designing, implementing, and maintaining containerized workflows using Kubernetes, Docker, and Rancher.
  • Hands-on experience (minimum 2 years) in deploying and managing containerized applications in production environments.
  • Proficiency in Python programming and shell scripting in Linux environments.
  • Experience with version control systems such as GitHub, with at least 2 years using Git or similar systems for collaborative software development.
  • Knowledge of DOD systems and networking architectures, including familiarity with DOD standards, protocols, and security requirements.
  • Demonstrated ability to effectively communicate with customers to understand their requirements.
  • Proficiency in conveying technical concepts clearly to non-technical stakeholders.
  • Experience in analyzing and incorporating customer feedback to enhance product offerings.
  • Strong commitment to exceptional customer service and adaptability to changing requirements.
  • Familiarity with DevOps methodologies and tools, including hands-on experience with continuous integration/continuous deployment (CI/CD) pipelines using tools like Jenkins, Ansible, or Terraform.
  • Certifications such as Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) are preferred.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, including deploying, managing, or optimizing cloud-based infrastructure and services for scalable and secure applications.
  • Preferably holds a certification as an AWS Certified Cloud Practitioner.
  • Willingness to travel to customer sites, with approximately 30% travel expected based on customer needs.
  • Minimum of 3 years of relevant experience in software integration, DevOps, or related fields.
  • Possession of a Security Clearance of TS/SCI is mandatory.
  • Proven track record of working on classified projects within government or defense sectors.
  • Certification: Security Plus (Security+).
Responsibilities
  • Join the field engineering team as a core contributor for platform deployment and integration.
  • Travel globally to directly engage with customers.
  • Solve integration issues and provide hands-on support to customers.
  • Collaborate closely with customers to ensure seamless integration and satisfaction.
  • Act as a bridge between customers and the rest of the team, facilitating smooth communication and resolution of any challenges.
Desired Qualifications
  • Previous employment in government or defense contracting environments, with a strong understanding of regulatory environments and project requirements.
  • Experience in rapid prototyping to quickly iterate and validate concepts, with at least 2 years of experience in rapidly developing prototypes or proof-of-concept solutions to test feasibility and gather feedback for iterative improvements.

Clarifai provides a full-stack AI platform that allows developers and machine learning engineers to create and implement AI models for a variety of applications. The platform is designed for speed and efficiency, making it a popular choice among developers. Users can build applications that generate content, analyze images and videos, and make data-driven decisions. If the existing models do not fit their needs, users have the option to train their own models. Clarifai operates on a business-to-business (B2B) model, catering to clients from different industries that require AI and machine learning solutions. The company earns revenue by charging businesses for access to its platform and services, with pricing based on usage and model complexity. Additionally, the platform features an AI Lake, which helps users manage their AI applications, upload data, and organize it for model training and testing, enhancing overall usability and efficiency.

Company Size

51-200

Company Stage

Series C

Total Funding

$101.2M

Headquarters

Wilmington, Delaware

Founded

2013

Simplify Jobs

Simplify's Take

What believers are saying

  • DeepSeek models on Clarifai reduce computational costs and improve efficiency.
  • AI Sprint workshops expand Clarifai's reach into the public sector, increasing potential revenue.
  • Recognition in Forrester Wave report boosts Clarifai's credibility and attracts enterprise clients.

What critics are saying

  • Open-source models like DeepSeek increase competition from companies leveraging these models.
  • Dependency on Deepgram partnership risks Clarifai's voice-driven AI solutions if partnership fails.
  • Public sector reliance may lead to vulnerability due to government budget cuts and policy changes.

What makes Clarifai unique

  • Clarifai offers a full-stack AI platform for diverse applications, including computer vision.
  • The platform's AI Lake feature enhances data management and model training efficiency.
  • Clarifai's vendor-agnostic compute orchestration optimizes AI performance across various environments.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

5%

1 year growth

7%

2 year growth

4%
PR Newswire
Jan 30th, 2025
Deepseek Now Available On Clarifai Platform

Clarifai's Full-Stack AI Platform Enabling Next AI Frontier of Model InferencingWASHINGTON, Jan. 30, 2025 /PRNewswire/ -- Clarifai , a global leader in AI and pioneer of the full-stack AI platform, today announced that several distilled versions of DeepSeek models are available on the Clarifai platform and users can try them for free for a limited time.The open source DeepSeek models on the platform are not the one that's been put to the test against a highly-touted OpenAI model, but they nonetheless mark the beginning of a new frontier in AI that users will no doubt rush to explore.The DeepSeek models, from the Chinese startup by the same name, focus on "inference-time computing," a technique that emphasizes multi-step reasoning and iterative refinement during the inference process to generate more accurate and contextually relevant responses. This approach reduces the massive computational costs when compared with other leading AI models, improves efficiency during model training time, and shifts the computational bottleneck from training to inference.To deploy such models efficiently, companies need tools that scale with their needs so that inference doesn't become a bottleneck. Clarifai's Inference Compute Orchestration provides the infrastructure to harness the full potential of this wave of AI."The DeepSeek models highlight the importance of optimized model inferencing as the new frontier in AI and underscore the need for tools that can optimize inference at scale," said Matt Zeiler, Ph.D., Founder and CEO of Clarifai. "Clarifai's Inference Compute Orchestration addresses this need, offering a unified platform to manage and deploy all AI models efficiently, including open source ones like DeepSeek—on every cloud, on-premise, or on edge devices with the same set of tools."In addition, the fact that such powerful DeepSeek models are built with open source software, meaning anyone can use and contribute to them, innovations will move faster than if the models were owned by this or that company, like so many others.Clarifai's Compute Orchestration will help organizations navigate the model inferencing era with:Optimized Inference: GPU fractioning packs multiple models on the same GPU, and traffic-based autoscaling rises and drops with traffic, reducing costs without sacrificing performance.GPU fractioning packs multiple models on the same GPU, and traffic-based autoscaling rises and drops with traffic, reducing costs without sacrificing performance. Control Center: A unified view for monitoring and managing AI compute resources, models, and deployments across multiple environments

Siam News Network
Dec 17th, 2024
Clarifai Launches "AI Sprint" Workshops to Help Organizations Quickly Identify AI Use Cases and Deploy Solutions

Carahsoft Partnership Carahsoft Technology Corp., The Trusted Government IT Solutions Provider(R), has partnered with Clarifai to enable the delivery of these workshops to Public Sector organizations through Carahsoft's reseller network and contract vehicles.

The Industrial
Dec 17th, 2024
Clarifai Launches "AI Sprint" Workshops to Help Organizations Quickly Identify AI Use Cases and Deploy Solutions

WASHINGTON, Dec. 17, 2024 - Clarifai, a global leader in AI and pioneer of the full-stack AI platform, today announced the launch of its "AI Sprint" workshops to help organizations quickly identify use cases for AI and then solve them within days, even if they lack in-house AI experience.

Skillcurb
Dec 16th, 2024
How Clarifai Optimizes AI Across Cloud and On-Premises

Clarifai, a leading AI solutions provider, has announced an innovative compute orchestration capability that will help enterprises improve the management of AI workloads, reduce operational costs, and avoid vendor lock-in.

Techeela
Dec 3rd, 2024
Clarifai Launches First Vendor-Agnostic Compute Orchestration Capabilities to Optimize AI Performance and Spend

WASHINGTON, Dec. 3, 2024 /PRNewswire/ - Clarifai, a global leader in AI and pioneer of the full-stack AI platform, today unveiled the public preview of the first compute orchestration capabilities for AI workloads across any AI model, on any compute, at any scale.