Senior DevOps Engineer at Nexxa.ai
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Summary
Senior DevOps Engineer in Toronto who owns Nexxa.ai's production infrastructure for AI/ML workloads: designing CI/CD pipelines, managing Kubernetes platforms with autoscaling, building infrastructure-as-code with Terraform and Pulumi, and establishing observability and incident management practices.
Transform infrastructure reliability as a Senior DevOps Engineer at Nexxa.ai, focusing on AI and industrial systems. Lead initiatives for production ML workloads and high-availability pipelines.
As a Senior DevOps Engineer, you will take ownership of Nexxa's core infrastructure, ensuring performance and reliability across AI environments. Your expertise will be vital in creating CI/CD pipelines, managing Kubernetes platforms, and establishing observability practices. The role is designed for candidates with a passion for infrastructure excellence.
Key Responsibilities: • Own Nexxa's infrastructure including compute and networking • Design CI/CD pipelines for safe iterations • Build infrastructure-as-code using Terraform and Pulumi • Manage Kubernetes for AI workloads, including autoscaling • Partner with teams on data warehouses and ML infrastructure
Requirements: • 6+ years in DevOps or related engineering roles • Experience with cloud platforms at production scale • Deep knowledge of Kubernetes and CI/CD systems • Proven scripting skills in Python, Go, or Bash • Strong incident management abilities
Elevate infrastructure performance and reliability while supporting groundbreaking AI systems at Nexxa.ai.
As a Senior DevOps Engineer, you will take ownership of Nexxa's core infrastructure, ensuring performance and reliability across AI environments. Your expertise will be vital in creating CI/CD pipelines, managing Kubernetes platforms, and establishing observability practices. The role is designed for candidates with a passion for infrastructure excellence.
Key Responsibilities: • Own Nexxa's infrastructure including compute and networking • Design CI/CD pipelines for safe iterations • Build infrastructure-as-code using Terraform and Pulumi • Manage Kubernetes for AI workloads, including autoscaling • Partner with teams on data warehouses and ML infrastructure
Requirements: • 6+ years in DevOps or related engineering roles • Experience with cloud platforms at production scale • Deep knowledge of Kubernetes and CI/CD systems • Proven scripting skills in Python, Go, or Bash • Strong incident management abilities
Elevate infrastructure performance and reliability while supporting groundbreaking AI systems at Nexxa.ai.
