We are seeking a skilled DevOps Engineer to join our team for a new AI-focused product.
In this role, you will collaborate closely with development, QA, operations, application support, and infrastructure teams to ensure seamless quality and availability across our development pipeline.
As a DevOps Engineer, you will have the opportunity to build and automate our CI/CD pipelines, from code check-in through to production deployment.
You will work directly with developers to define DevOps requirements, make necessary modifications, and interact with stakeholders to understand and implement requirements and improvements.
Advanced English proficiency is required for cross-functional collaboration and effective communication with our distributed team.
Responsibilities:
Collaborate with development, QA, operations, support, and infrastructure teams to maintain high-quality and available pipelines.
Design, implement, and automate CI/CD pipelines, from code integration to production deployment.
Partner with developers to establish DevOps requirements and make modifications as needed.
Communicate with stakeholders to understand implementation requirements and identify improvement areas.
Optimize deployment processes for AI product development, focusing on automation and scalability.
Minimum Requirements:
Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related fields.
Solid experience in software development or infrastructure engineering.
Experience with Agile methodologies.
Proficiency in Configuration Management tools (e.g., Chef, Puppet, Ansible, Salt).
Strong experience with CI tools (e.g., Jenkins, TravisCI, CircleCI, Gitlab CI).
Skilled in at least one programming language (Ruby, Python, Perl, Go, Groovy, or Bash).
Hands-on experience with application lifecycle support and containerization (Docker) and orchestrators (Mesos, Kubernetes, Swarm).
Familiarity with system monitoring tools (e.g., Nagios, DataDog, AppDynamics, New Relic).
Cloud computing experience in GCP, AWS, or Azure.
Advanced English proficiency for technical communication and collaboration.
Experience in IA Projects.
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