DevOps Engineer

About the role

AI71 is seeking a motivated DevOps Engineer to design, build, and maintain scalable infrastructure for AI model deployment, ensuring efficient and reliable production pipelines.

Key responsibilities

• Design, implement, and maintain CI/CD pipelines.
• Automate infrastructure provisioning with Terraform, Ansible or CloudFormation.
• Manage containerized workloads using Docker and Kubernetes.
• Optimize cloud and on‑prem resources for cost and performance.
• Monitor, troubleshoot, and ensure uptime of production systems.
• Implement logging, monitoring and alerting (Prometheus, Grafana, ELK).
• Conduct root‑cause analyses and post‑mortems.
• Participate in on‑call rotation and ensure compliance with security standards.

Required profile

• Bachelor’s degree in Computer Science, Engineering or equivalent experience.
• Proficiency in Python, Bash or Go scripting.
• Hands‑on experience with AWS, Azure or Google Cloud.
• Experience with Docker, Kubernetes and CI/CD tools (Azure DevOps, Jenkins, GitLab CI/CD, CircleCI).
• Knowledge of monitoring tools (Prometheus, Grafana, Datadog, ELK).
• Understanding of networking fundamentals, DNS, load balancing and firewalls.

Required skills

• Terraform, Ansible, CloudFormation (IaC).
• Docker, Kubernetes (container orchestration).
• CI/CD platforms: Azure DevOps, Jenkins, GitLab CI/CD, CircleCI.
• Monitoring & observability: Prometheus, Grafana, ELK stack, Datadog, New Relic.
• Secret management: Vault, AWS Secrets Manager.
• Real‑time streaming architectures for AI workloads.

What we offer

• Competitive compensation and benefits.
• Opportunities for rapid career growth.
• Flexible working environment with latest tools and technologies.
• Mission‑driven projects on cutting‑edge AI applications.