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Recruiting for a Remote Cloud DevOps Engineer for one of the product based Startup


Company: One of our Clients (Leading Startup in LLM space)

Position: Cloud DevOps Engineer (1- 5 years; relevant experience)

Location: India - Remote


Company Overview

The startup is at the forefront of creating transformative generative AI products, focusing on making Large Language Model (LLM) intelligence easily accessible to end users. They have set an ambitious milestone to achieve by the end of the year and are looking for passionate individuals to join their innovative team on this exciting journey.

Role Overview

We are seeking a highly motivated and skilled Cloud DevOps Engineer to join our growing team. In this role, you will be responsible for the design, deployment, and maintenance of cloud-based applications and infrastructure.

Responsibilities

  • Design and implement robust and scalable cloud infrastructure solutions (AWS, Azure, GCP preferred)
  • Automate infrastructure provisioning and management using tools like Terraform, Ansible, or Puppet
  • Experience with containerization technologies (Docker, Kubernetes)
  • Build and maintain CI/CD pipelines (Jenkins, GitLab CI/CD)
  • Collaborate with development teams to ensure smooth application deployments
  • Leverage GenAI tools like ChatGPT/GeminiAI/etc. to significantly boost productivity and expand into full-stack aspects of Cloud DevOps. This includes utilizing genAI tools for tasks such as code generation, documentation, troubleshooting, and infrastructure planning

Qualifications

  • 1-5 years of experience in Cloud DevOps  
  • Strong experience with cloud platforms (AWS, Azure, GCP)
  • Proficiency in scripting languages (Python, Bash)
  • Experience with containerization technologies (Docker, Kubernetes)
  • Experience with CI/CD tools (Jenkins, GitLab CI/CD)
  • Strong understanding of software engineering principles and best practices
  • Must have a proven track record of using GenAI tools like ChatGPT/ GeminiAI, etc. to enhance their daily workflow. This could include using LLMs for code generation, research, documentation, or other relevant tasks
  • Other must have qualifications:
    * The ideal candidate is someone who has demonstrated resilience through solo ventures, side projects, or bootstrap attempts – perhaps juggling client work while building their own solutions, or teaching themselves cloud technologies through hands-on projects.

  • Bonus Points:
    * Experience with serverless computing (AWS Lambda, Azure Functions)
    * Experience with security best practices and cloud security certifications

 

What Makes You Our Ideal Candidate:
- You're the type who has pursued passion projects or entrepreneurial ventures, even if they didn't all succeed
- You've taken ownership of end-to-end technical solutions, possibly as a solo developer or in small teams
- You have a holistic understanding of cloud operations, even if you're not an expert in every tool
- You're comfortable leveraging AI tools like ChatGPT to fill knowledge gaps and accelerate your learning
- You've shown adaptability – perhaps taking on practical work to sustain yourself while keeping your technical dreams alive
 


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