DevOps Integration Engineer

About the Company:

Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, audio recognition, & large language models (LLM). We help organizations transform unstructured images, video, text, & audio data into structured data at a significantly faster & more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Canada, Argentina, India,  & Estonia.

We have raised $100M in funding to date, with $60M coming from our most recent Series C. We are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm & Osage.

Your Impact:  

• This position offers the opportunity to be a key player in deploying & integrating the Clarifai platform, directly engaging with customers. Your expertise will ensure seamless integration, effective issue resolution, & strong communication between customers & the Clarifai team, ultimately driving customer satisfaction & product success.

The Opportunity:

• Join the field engineering team as a core contributor for platform deployment & integration.
• Travel globally to directly engage with customers.
• Solve integration issues & provide hands-on support to customers.
• Collaborate closely with customers to ensure seamless integration & satisfaction.
• Act as a bridge between customers & the rest of the team, facilitating smooth communication & resolution of any challenges.

Requirements:

• Designing, implementing, & maintaining containerized workflows using Kubernetes, Docker, & Rancher.
• Hands-on experience (minimum 2 years) in deploying & managing containerized applications in production environments.
• Proficiency in Python programming & 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 & networking architectures, including familiarity with DOD standards, protocols, & 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 & incorporating customer feedback to enhance product offerings.
• Strong commitment to exceptional customer service & adaptability to changing requirements.
• Familiarity with DevOps methodologies & 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 & services for scalable & 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+).

Nice to Have: 

• Previous employment in government or defense contracting environments, with a strong understanding of regulatory environments & project requirements.
• Experience in rapid prototyping to quickly iterate & validate concepts, with at least 2 years of experience in rapidly developing prototypes or proof-of-concept solutions to test feasibility & gather feedback for iterative improvements.