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DevOps Engineer

WerQ AI

Altadena, california


Job Details

Full-time


Full Job Description

At WerQ AI, we're on a mission to transform the workplace with intelligent AI-driven solutions. We are looking for a talented DevOps Engineer to join our fast-paced and innovative team. In this role, you will play a critical part in enhancing our development and operational efficiencies by implementing and managing cloud infrastructure, CI/CD pipelines, and monitoring systems. You will collaborate closely with software engineers to streamline product deployment and improve overall system performance. Your expertise will be crucial in ensuring the reliability and scalability of our applications, ultimately enhancing user experience. If you are a forward-thinking engineer with a passion for automation and a desire to drive continuous improvement, we encourage you to apply and join our dynamic team.

Responsibilities

  • Design, implement, and maintain CI/CD pipelines to support the Software Development Life Cycle (SDLC).
  • Manage cloud infrastructure and automation tools, ensuring high availability and scalability of applications.
  • Monitor system performance and troubleshoot issues, providing timely solutions to minimize downtime.
  • Collaborate with development teams to ensure seamless integration of automated systems and processes.
  • Implement security best practices to safeguard cloud environments and application deployments.
  • Continuously improve tooling, processes, and methodologies to boost team efficiency.
  • Document all procedures and infrastructure to enhance knowledge sharing across teams.
  • Stay informed about industry trends and emerging technologies to recommend improvements.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field; relevant certifications (e.g., AWS Certified DevOps Engineer) are a plus.
  • 3+ years of experience in a DevOps, Site Reliability Engineer (SRE), or related role.
  • Strong experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with container orchestration tools (e.g., Kubernetes, Docker).
  • Proficient in scripting languages (e.g., Python, Bash) and automation tools (e.g., Terraform, Ansible).
  • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems (e.g., Git).
  • Excellent problem-solving skills with the ability to work independently and in a team environment.
  • Strong communication skills, with the ability to work across diverse teams effectively.

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