Senior DevOps Engineer is a personalized AI Assistant that makes you more productive, creative, and extraordinary.

About the role: is seeking a Senior DevOps Engineer who will be a key player in the integration of software development and IT operations. This role requires a seasoned professional with experience in automating processes, optimizing systems, and ensuring the reliability and security of production environments. The Senior DevOps Engineer is responsible for a wide range of tasks, from designing infrastructure as code to leading incident management and response.

Key Responsibilities:

  • Infrastructure and Automation: Implement infrastructure as code (IaC) to automate the setup and management of IT resources. Develop and maintain CI/CD pipelines for efficient code deployment.
  • Monitoring and Performance: Monitor applications and services to ensure reliability and performance. Optimize system performance through troubleshooting and problem-solving. Implement site reliability tools and dashboards to help understand platform health.
  • Collaboration and Leadership: Work closely with software developers, system operators, and other IT staff to oversee code releases. 
  • Security and Compliance: Integrate security best practices into the development lifecycle and ensure compliance with data protection regulations. Common security knowledge and understanding of relevant threats
  • Management and Maintenance: Manage infrastructure, including cloud services and in-house hardware, to meet organizational needs 
  • Automation and Tools: Utilize open-source technologies and tools to orchestrate solutions, including writing scripts and managing data sources 
  • Strategic Planning: Develop and maintain the company's DevOps strategy in alignment with business goals. 

Skills & Qualifications:

  • Education: A Bachelor’s or Master’s Degree in Engineering, Computer Science, or a related field is preferred 
  • Experience: Several years of experience in managing Linux-based infrastructure and hands-on experience with scripting languages and databases are essential 
  • Technical Skills: Proficient in  Python, Bash, and Terraform.
  • Experience with CI/CD tools like Github Actions and Atlantis.  
  • Must have experience with  containerization and orchestration technologies such as Docker, Helm, and Kubernetes 
  • Cloud Expertise: Architected and built applications and services on AWS.  Experience with Azure is a plus.
  • Security: Common security knowledge and integration of 
  • Soft Skills: Critical thinking, problem-solving skills, team player attitude, good time-management, and strong communication skills are important 


With a deep foundation in search, is truthful, accurate, and transparent, and addresses hallucinations. was founded by leading AI research scientists, Richard Socher and Bryan McCann. Richard was previously the Chief Scientist at Salesforce and is the third most-cited researcher in natural language processing (NLP) with over 170,000 citations. Bryan was a lead research scientist at Salesforce Research specializing in deep learning and NLP. Over the years, Richard and Bryan’s collaborative research has had significant implications for the field of NLP, particularly in the areas of word vectors, contextual vectors, and prompt engineering. Richard's contributions were recently recognized with his inclusion in Time Magazine’s TIME100 AI list in 2023 as one of the “most influential people in AI” and the prestigious 2023 ACL Test-of-Time Paper Award for his influential research published in 2013.

Since its founding, has transformed how people discover and engage with information online as an AI Assistant that helps people accomplish and solve everyday needs. Recognized as one of Fortune Magazine’s 50 AI Innovators for 2023 and featured in Time Magazine’s “Best Inventions of 2022,” has pioneered many solutions for Large Language Model (LLM) challenges, especially around trust and accuracy. notably introduced the first consumer-facing LLM with access to the internet to provide up-to-date answers and include citations.'s API further enables other LLM-based chatbots to improve their accuracy with real-time web access. also emphasizes personalized AI chat experiences, offering tailored responses based on users’ backgrounds, interests, and preferences while respecting privacy and ensuring transparent control over personal data. is accessible on desktop, Chrome web extensions, iOS and Android apps, and WhatsApp.

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