Platform Site Reliability Engineer

About the Company

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

About the Role

We are seeking a talented and motivated Infrastructure Engineer to join our core Platform Team in Austin, Texas. As a key member of the team, you’ll be responsible for designing, building, and maintaining the infrastructure that powers the FutureSecure.ai platform. You’ll work closely with engineers across the company to ensure our platform is performant, scalable, and secure, enabling us to deliver innovative AI-powered experiences.

Responsibilities

Design, build, and maintain highly scalable and reliable infrastructure for our AI-powered platform

Develop and deploy infrastructure as code using tools like Terraform and Kubernetes

Automate infrastructure provisioning and configuration management

Monitor system performance, identify bottlenecks, and implement solutions to improve efficiency and scalability

Contribute to the development of our CI/CD pipelines and automation frameworks

Collaborate with security engineers to implement and maintain security best practices throughout the infrastructure

Participate in on-call rotation to ensure the availability and reliability of the platform

Troubleshoot and resolve infrastructure-related issues in a timely and effective manner

Contribute to the documentation of infrastructure components and processes

Proactively identify and address potential infrastructure risks

Experience working with various cloud environments, including AWS, Azure, and Google Cloud Platform (GCP)

Minimum Qualifications

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

3+ years of experience in infrastructure engineering or DevOps

Experience with containerization technologies like Docker and Kubernetes

Experience with infrastructure as code tools like Terraform

Solid understanding of cloud platforms (AWS, Google Cloud, or Azure)

Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack)

Strong understanding of networking principles and security best practices

Experience with CI/CD pipelines and automation frameworks

Excellent problem-solving and communication skills

Preferred Qualifications

Experience building and scaling AI/ML infrastructure.

Why Join Us?

A high-performance culture

State-of-the-art technology

Experience world-class leadership

Scale of impact and purpose

A competitive salary and a huge growth trajectory

Work with the best in the industry

Flexible work environment

Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.