Dev Ops Engineer

Reposted 19 Days Ago
India
Mid level
Artificial Intelligence
The Role
The DevOps Engineer will design and maintain cloud infrastructure, automate deployment processes, monitor system performance, and ensure compliance with security practices.
Summary Generated by Built In

Who are we looking for? 

We are seeking a skilled and experienced DevOps Engineer to join our team. You will play a critical role in designing, implementing and maintaining high performing, secure, and scalable systems in our cloud infrastructure. This role involves collaborating closely with other engineers, product and sales personnel, and other stakeholders to ensure that our product’s availability and performance comply with customer SLAs. It also requires you to be on-call, as a first line of defense, for a period of one-week (rotating). 

 

You will be responsible for: 

  • Design, implement, and maintain scalable, secure, and cost-effective cloud infrastructure in Azure. 
  • Build and optimize automated CI/CD pipelines to ensure seamless and efficient deployment of ML models, APIs, and other applications. 
  • Automation of manual processes and workflows. 
  • Monitoring and troubleshooting to ensure uptime, performance, and reliability of our systems. 
  • Responding quickly to incidents and troubleshoot infrastructure or application-related issues. 
  • Close collaboration with Software Engineers, Data Scientists, and Product teams to ensure infrastructure meets the needs of AI and ETL workloads,  and can handle high volumes of data and computation. 
  • Adherence to security best practices in system architecture and deployment pipelines to ensure data privacy, security, and compliance with relevant regulations (SOC 2, CCPA). 
  • Continuous evaluation and optimization for system performance, cost management and scalability of AI-related and ETL workloads. 
  • Create and maintain clear documentation on deployment processes, infrastructure setup, and troubleshooting guides to support internal teams and reduce downtime. 


Requirements: 

  • 3+ years of hands-on experience in a DevOps role. 
  • Strong proficiency with Azure and AWS. 
  • Experience with containerization and orchestration: Docker and Kubernetes. 
  • Experience with monitoring and logging tools (Prometheus, Grafana, Loki, etc.) 
  • Experience building and maintaining workflows with GitHub Actions. 
  • Scripting skills in Python, Bash, or similar language is encouraged. 
  • Experience with git and git-based workflows. 
  • Familiarity with collaboration development tools like Linear, Slack, and Confluence. 

 

 

Top Skills

AWS
Azure
Bash
Docker
Github Actions
Grafana
Kubernetes
Loki
Prometheus
Python
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The Company
HQ: Washington, DC
30 Employees
On-site Workplace
Year Founded: 2021

What We Do

We help companies realize the full value of AI by empowering their teams to instantly make any application AI-intelligent.


We value and believe in equitable access to AI where all people can adopt AI and have access to AI technology and insights regardless of their ethnicity, socio-economic status, educational or career level, work role, age, physical ability, or any other quality. The goal of our AI Squared technology is to level this playing field by providing AI integration technologies that would increase AI adoption and enable access to AI for anyone.

This is our story. Dr. Benjamin Harvey was the Chief of Operations Data Science at NSA where he experienced challenges first-hand associated with the inability to adopt AI, provide equitable access to AI, and unlock the value of AI for intelligence analysts and the military warfighter. His inspiration came from his two brothers who were Army officers recently deployed to the Middle East (Kuwait, Iraq and Qatar) and SW Asia (Afghanistan and Pakistan) who both relied on intelligence to achieve mission. He began a journey and developed a solution to solve these inequities that simplifies and accelerates AI integration into applications ultimately protecting lives of Americans and military warfighters in similar situations as his brothers.

Our vision is to build the world’s most powerful model integration framework and AI integration software which enables any application to become AI-powered. For the first time ever data scientists can describe their models using our model integration framework and our AI integration software will overlay intelligence from inference results directly into a pre-existing web application. We provide application developers with a software (e.g. SDK) and analysts with a no/low-code solution to customize the user experience

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