Senior DevOps Engineer

Job overview

Core responsibilities

• Design and manage multi-cloud AWS and GCP environments with Terraform.
• Oversee production Kubernetes clusters and application deployments.
• Build infrastructure for AI workloads.
• Maintain vector search databases, PostgreSQL, MySQL, and MongoDB.
• Implement monitoring and alerting with Datadog and Prometheus.
• Maintain Python, Go, or Bash automation code and use LLMs to improve productivity.
• Manage VPCs, load balancing, service meshes, and caching layers.
• Lead distributed-systems debugging, root-cause analysis, and on-call incident response.

Required experience

• 7+ years in infrastructure, DevOps, or Site Reliability Engineering, including 5+ years in cloud-native environments.
• Solid Linux administration and performance-tuning skills.
• Expert-level Terraform or OpenTofu experience with state management at scale.
• Production Kubernetes experience with EKS, GKE, or self-managed clusters.
• Strong Python or Go proficiency and rigorous infrastructure software-engineering practices.
• Hands-on relational and non-relational database experience.
• Experience leveraging and securing PaaS offerings.
• Practical use of LLMs such as GitHub Copilot, ChatGPT, or Claude for engineering productivity.
• Ability to learn technologies independently and communicate complex solutions in English.

Technical environment

• AWS and Google Cloud Platform.
• Terraform or OpenTofu.
• Kubernetes, Linux, and cloud-native infrastructure.
• Datadog and Prometheus.
• PostgreSQL, MySQL, MongoDB, and vector search databases.
• VPCs, load balancing, service meshes, Redis, and other caching layers.

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