Full-Time DevOps Engineer

We're looking for an experienced DevOps Engineer to join our Platform team and take ownership of the systems and pipelines that power our engineering organization.

This role is built on operational excellence. This is a highly autonomous, high-impact role that blends Ops practices, infrastructure engineering, and delivery pipeline optimization.

What you will do at Jasper:

• Build and Maintain Resilient Infrastructure: Design, implement, and operate cloud-native infrastructure that scales efficiently and fails gracefully.
• Architect CI/CD Pipelines: Create and optimize software delivery pipelines that enable safe, fast, and frequent deployments.
• Automate Everything: Develop resilient Infrastructure as Code-managed solutions using Terraform.
• Support AI Workloads: Collaborate with ML and product teams to build infrastructure that efficiently handles AI model training, inference, and evaluation pipelines.
• Drive Platform Reliability: Proactively identify single points of failure, performance bottlenecks, and scalability limits.
• Secure the Platform: Implement security best practices throughout the infrastructure stack.

What you will bring to Jasper:

• Production Operations Mindset
• Kubernetes & Cloud Native Expertise: Deep hands-on experience with Kubernetes in production environments, including cluster management, networking, storage, and security.
• Infrastructure as Code Mastery: Extensive experience with Terraform, Helm, and configuration management tools.
• CI/CD Pipeline Engineering: You've designed and operated sophisticated delivery pipelines using tools like GitHub Actions, Argo CD, Jenkins, or similar.
• Observability & Monitoring: Hands-on experience with observability platforms (especially Datadog).
• Programming & Automation Skills: Strong scripting abilities in Python, Go, or Bash.

Preferred Qualifications:

• Multi-Language Support: Experience supporting applications written in TypeScript, Python, Go, or other languages in production.
• AI/ML Infrastructure: Understanding of GPU computing, model serving infrastructure, and the unique operational challenges of AI workloads.
• Security Engineering: Experience with container security, secrets management, policy enforcement, and compliance frameworks.
• Open Source Contributions: Active contributions to infrastructure, monitoring, or CI/CD open source projects.

What is the last date for applying to the job?

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