Senior Infrastructure Engineer - Remote

Overview

Pragmatike is hiring a Senior Infrastructure Engineer to build and optimize distributed training and inference systems in a fast-growing AI startup recognized for its innovation in AI technology.

In Short

• Design, build, and maintain scalable infrastructure for distributed AI pipelines.
• Optimize cloud-native systems for performance, reliability, and cost-efficiency.
• Automate deployment, monitoring, and orchestration of Kubernetes-based systems.
• Collaborate with research and product teams to turn AI models into production-grade systems.
• Contribute to architecture and strategy, mentoring peers and shaping the roadmap.
• 5+ years in DevOps, infrastructure, or platform engineering.
• Deep Kubernetes expertise and hands-on experience with AWS, GCP, and Azure.
• Strong skills in CI/CD and infrastructure-as-code.
• Excellent collaborator with a track record of mentorship.
• Bonus points for experience with large-scale ML training and inference workloads.

Requirements

• 5+ years in DevOps, infrastructure, or platform engineering, ideally in AI/ML pipelines.
• Deep Kubernetes expertise (Helm charts, CRDs, controllers, operators).
• Hands-on experience with AWS, GCP, and Azure in distributed systems.
• Strong skills in CI/CD, infrastructure-as-code (Terraform, Helm, scripting).
• Familiarity with secure software delivery and artifact pipelines.
• Excellent collaborator with a track record of mentorship and cross-team impact.

Benefits

• Competitive salary & stock options.
• Sign-on bonus.
• Health, Dental, and Vision.
• 401k.