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.
Austin, United States of America On-site Full-time
Future Secure AI is hiring a Platform Site Reliability Engineer
About company
We have a distinctive, proven approach for fast, high-ROI deployment of AI in enterprises:
- We build bespoke AI Co-Workers for the Red Zone. They consist of a persona wrapped over a complex multi-agent system to undertake controlled, context-specific workflows with enterprise grade security and high ROI (vs simpler Blue-Zone agentic tools)
- We rely on a new collaborative approach to AI design, build and run with our customers: one that’s a true partnership, not SaaS, not black boxes, not systems integration or consulting
- We have proven experience driving fast ROI impact in large, complex organizations, and are agnostic to cloud infrastructure and LLMs with the ability to easily integrate third-party agents and systems
We focus on Red-Zone (i.e., higher complexity) use cases. Our AI Co-Workers are fast and responsive at scale, orchestrate large numbers of advanced agents, enable highly secure task and process execution and deliver observability that mission-critical enterprise workflows require. We sit below the expensive private data and ML Black-Zone players; and we sit well above the myriad Blue-Zone plug-and-play agentic players who often fail to deliver more complex, context-specific workflows.