Job Details

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 | Ex‑Meta 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 AI‑driven solutions for data centers and power providers, leveraging cutting‑edge machine learning (ML) and artificial intelligence (AI) technologies. Our mission is bold: to double America's 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 + on‑prem) platform. In this role, you'll work at the intersection of infrastructure, AI/ML systems, and mission‑critical physical operations. You'll collaborate directly with our engineering, AI, and operations teams to design resilient systems and bring cutting‑edge AI models into production.

This is a high‑impact role — your work will directly shape how the world's most advanced data centers operate.

Who You'll Work With

• Chase Overcash – CTO

Responsibilities

• Design, implement, and maintain scalable, fault‑tolerant infrastructure across cloud and on‑prem 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 post‑incident reviews, drive root‑cause analysis, and implement preventative fixes.
• Manage multi‑environment 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

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Proven experience as an SRE, DevOps engineer, or similar role in a SaaS or infrastructure‑heavy environment.
• Strong expertise with cloud platforms (AWS preferred; GCP/Azure also valuable).
• Proficiency in Python or similar scripting/programming languages.
• Hands‑on 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 infrastructure‑as‑code (Terraform, Ansible, etc.).
• Excellent problem‑solving skills and the ability to thrive in a fast‑paced startup environment.

Culture Fit

We're a small, mission‑driven team, and we're looking for people who:

• Are obsessed with solving hard problems and willing to dig deep.
• Are hands‑on, equally comfortable with physical and software systems.
• Value being on‑site and with clients, understanding the impact of mission‑critical work.
• Embrace flexibility — supporting teammates during weekends, holidays, or emergencies when needed.
• Over‑communicate, 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, fast‑paced environment in the San Francisco Bay Area.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Industries

• Software Development