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# Senior Infrastructure Engineer

- **Company:** Cline Cellars, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Pulumi, Scripting, System Availability, Caching, Backend, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Model Inference, Terraform
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_616d0996fdf1511d6a10c39a66a8090b

## About the Role

* 6-8+ years experience in infrastructure, SRE, or platform engineering roles.
 * Expertise in cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Kubernetes, Helm).
 * Strong background in distributed systems, networking, and performance optimization.
 * Proficiency in infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation).
 * Solid programming/scripting skills (Python, Go, or Bash).
 * Hands-on experience with monitoring, observability, and incident response.

## Description

You'll be responsible for building and scaling the infrastructure that supports our AI inference pipelines, backend APIs, and enterprise integrations. This role goes beyond just keeping systems running-you'll design for scale, reliability, and developer velocity, collaborating closely with backend engineers and ML teams., As a Senior Infrastructure Engineer, you'll also influence technical strategy, mentor other engineers, and drive infrastructure-wide initiatives that shape the future of our platform., * Design and operate scalable, low-latency infrastructure for LLM inference, caching, and distributed APIs.

 * Build highly reliable and observable systems-defining SLAs, SLIs, and SLOs for core services.
 * Drive cloud infrastructure strategy (AWS/GCP/Azure), including networking, security, and cost optimization.
 * Implement CI/CD pipelines and developer productivity tooling to accelerate shipping velocity.
 * Collaborate with engineers to productionize AI models and optimize resource utilization (GPU scheduling, autoscaling).
 * Proactively identify and resolve bottlenecks, ensuring high availability and resiliency across systems.
 * At the senior level: mentor engineers, lead cross-functional technical projects, and contribute to long-term infrastructure roadmap.