Staff Site Reliability Engineer

Ipro Networks Pte. Ltd.; Palo Alto (CA); Remote; USD 200,000 - 250,000; Full time

Job summary

Ipro Networks, a cutting-edge AI infrastructure firm, is seeking a Staff Site Reliability Engineer to enhance its GPU infrastructure. This role demands the design of resilient systems, managing multiple clusters, and ensuring continuous uptime while offering a competitive salary and equity package.

Benefits

Competitive equity package (stock options)

Comprehensive health benefits

Generous PTO and flexible work policies

Support for ongoing professional development

Qualifications

• 7+ years of experience as a reliability, infrastructure, or production engineer.
• Deep knowledge of GPU infrastructure and cloud networking.
• Proficient in scripting or programming languages.

Responsibilities

• Manage thousands of GPUs across multiple cloud providers.
• Design scalable solutions for AI model training and data processing.
• Set up monitoring systems to proactively detect issues.

Skills

Troubleshooting

Systems Thinking

Collaboration

Programming

Infrastructure Management

Tools

Kubernetes

Terraform

Prometheus

Grafana

DataDog

Splunk

Job description

Staff Site Reliability Engineer (Remote, US)

Compensation: $200K–$250K + Equity
Full-Time | Remote | Infrastructure Team

We’re hiring a Staff Reliability Engineer to help scale and maintain the massive GPU infrastructure that powers our cutting-edge AI systems. If you're passionate about building robust, scalable systems and solving deep infrastructure challenges at scale, this role is for you.

What You’ll Be Doing

• Work closely with engineers and researchers to define and meet system performance, availability, and efficiency requirements.

• Operate and manage thousands of GPUs distributed across multiple cloud providers and clusters.

• Design scalable solutions to support rapid growth in compute demands for AI model training, data processing, and inference.

• Build resilient, fault-tolerant systems to ensure continuous uptime and seamless performance.

• Develop automation tools to eliminate toil and streamline infrastructure operations.

• Set up and maintain monitoring systems to proactively detect issues and drive performance improvements.

• Define and track SLOs and SLIs that uphold system reliability standards.

• Participate in an on-call rotation to ensure 24/7 system availability.

Qualifications

• Proven 7+ years of experience as a reliability engineer, infrastructure engineer, or production engineer in fast-paced, high-growth environments.

• Deep knowledge of GPU infrastructure, including scheduling, scaling, cloud networking, storage, and security.

• Proficiency in one or more scripting or programming languages.

• Strong experience with Kubernetes or similar container orchestration systems.

• Familiarity with Infrastructure-as-Code tools like Terraform or CloudFormation.

• Experience working with observability tools like Prometheus, Grafana, DataDog, ELK, or Splunk.

• Excellent troubleshooting, debugging, and systems thinking.

• Strong communication skills and a collaborative mindset.

• Bonus: Experience in AI/ML infrastructure, or managing large-scale GPU clusters.

What We're Building

We're developing highly complex infrastructure to support advanced AI research and production systems running on thousands of GPUs. This is an opportunity to work on some of the most demanding reliability and performance challenges in tech today—at scale. You’ll have direct impact on how infrastructure supports foundation model development and deployment.

Compensation & Benefits

Base Salary: $200K–$250K/year
Competitive equity package (stock options)
Comprehensive health benefits
Generous PTO and flexible work policies
Support for ongoing professional development