Job Description

This range is provided by Atlas. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $150,000.00/yr

Direct message the job poster from Atlas

Connecting top talent with deep technology & manufacturing firms | ExMeta SWE

Atlas has partnered with Fluix AI to fill its Site Reliability Engineer role. To learn more about Fluix AI, you can review their website here.

Company Overview

Fluix is building the AI operating system that plans, designs, and optimizes AI infrastructure. Based in Silicon Valley, we specialize in AIdriven solutions for data centers and power providers, leveraging cuttingedge machine learning (ML) and artificial intelligence (AI) technologies. Our mission is bold: to double Americas compute capacity without building new data centers.

Position Overview

The Site Reliability Engineer (SRE) will ensure the reliability, scalability, and performance of our hybrid (cloud + onprem) platform. In this role, youll work at the intersection of infrastructure, AI/ML systems, and missioncritical physical operations. Youll collaborate directly with our engineering, AI, and operations teams to design resilient systems and bring cuttingedge AI models into production.

This is a highimpact role your work will directly shape how the worlds most advanced data centers operate.

Who Youll Work With

• Chase Overcash CTO

Responsibilities

• Design, implement, and maintain scalable, faulttolerant infrastructure across cloud and onprem environments.
• Build automation tools to streamline operations, reduce toil, and increase reliability.
• Integrate ML/AI models into production systems and optimize their performance at scale.
• Improve system resilience through monitoring, observability, and incident management.
• Lead postincident reviews, drive rootcause analysis, and implement preventative fixes.
• Manage multienvironment cloud setups (dev, staging, prod) and optimize data center operations.
• Ensure compliance and security across all infrastructure and applications.
• Partner with engineering and data science teams to continuously improve deployment practices.

Qualifications

• Bachelors degree in Computer Science, Engineering, or equivalent experience.
• Proven experience as an SRE, DevOps engineer, or similar role in a SaaS or infrastructureheavy environment.
• Strong expertise with cloud platforms (AWS preferred; GCP/Azure also valuable).
• Proficiency in Python or similar scripting/programming languages.
• Handson experience with containerization and orchestration (Kubernetes).
• Solid understanding of networking, security, and performance optimization.
• Familiarity with ML/AI infrastructure and data center operations is a strong plus.
• Experience with CI/CD pipelines and infrastructureascode (Terraform, Ansible, etc.).
• Excellent problemsolving skills and the ability to thrive in a fastpaced startup environment.

Culture Fit

Were a small, missiondriven team, and were looking for people who:

• Are obsessed with solving hard problems and willing to dig deep.
• Are handson, equally comfortable with physical and software systems.
• Value being onsite and with clients, understanding the impact of missioncritical work.
• Embrace flexibility supporting teammates during weekends, holidays, or emergencies when needed.
• Overcommunicate, collaborate openly, and take ownership.

Why Fluix?

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Opportunities to shape the future of AI infrastructure and data center technology.
• A collaborative, fastpaced environment in the San Francisco Bay Area.

Seniority level

• MidSenior level

Employment type

• Fulltime

Job function

• Engineering and Information Technology

Industries

• Software Development

Job Tags

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