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Job Summary:
We are seeking a skilled DevOps Engineer to build and maintain robust infrastructure and deployment pipelines for our AI-powered sales agents. As a critical member of our team, you will ensure the reliability, scalability, and security of our systems, enabling seamless delivery of our solutions to clients around the globe.

Key Responsibilities:

  • Design, implement, and maintain CI/CD pipelines to streamline the development, testing, and deployment of AI-driven sales agents.
  • Manage cloud infrastructure (e.g., AWS, Azure, Google Cloud) to ensure optimal system performance and cost efficiency.
  • Automate infrastructure provisioning, configuration management, and monitoring.
  • Collaborate with software developers and data scientists to implement scalable and secure solutions for AI training, testing, and deployment.
  • Monitor system performance, troubleshoot issues, and optimize for uptime and reliability.
  • Ensure security best practices are followed, including system hardening, access controls, and vulnerability assessments.
  • Implement robust logging, monitoring, and alerting solutions to proactively identify and resolve issues.
  • Contribute to disaster recovery planning and implement backup strategies to protect critical data and systems.
  • Stay updated with industry trends and emerging technologies to improve existing systems and processes.

Qualifications:

  • Strong communication and collaboration skills to work effectively with cross-functional teams.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proven experience as a DevOps Engineer or in a similar role, with a strong background in system administration and software development.
  • Proficiency in using CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
  • Hands-on experience with infrastructure-as-code tools like Terraform, Ansible, or CloudFormation.
  • Strong knowledge of containerization technologies, including Docker and Kubernetes.
  • Experience managing cloud services (AWS, Azure, or Google Cloud) and optimizing for cost and performance.
  • Familiarity with monitoring tools like Prometheus, Grafana, or Datadog.
  • Strong scripting skills in Python, Bash, or similar languages.
  • Understanding of networking, security, and system architecture principles.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

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