Job Opportunities API

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 looking for a Solution Architect to join our delivery team. You will own end-to-end solution design across client engagements — translating complex business requirements into scalable, production-ready technical architectures. You will work closely with  our  customer stakeholders ,  platform engineers,  SREs, DevOps engineers and AI developers to ensure that what gets designed gets  built, and built right.   Responsibilities Define end-to-end solution architectures that map client business requirements to scalable technical designs Design and guide Kubernetes-based architectures supporting AI and application workloads   Lead solution design across cloud infrastructure, application services, data flows, and integrations   Work hands-on with public cloud services to shape deployable, production-ready solutions   Collaborate with engineers, AI developers, and platform teams to ensure architectures are implemented as designed Support architecture workshops and design sessions with internal teams and client stakeholders   Ensure solutions align with SDLC practices from design through build, test, deployment, and operation Design application and system architectures spanning APIs, services, and multi- component  systems Contribute to platform engineering efforts that enable teams to build and  operate  AI Co-Workers efficiently Balance technical excellence with pragmatism, weighing cost, scalability, security, and delivery speed Minimum Qualifications Bachelor's degree in Computer Science , Software Engineering, a related technical discipline, or equivalent practical experience   7+ years of professional experience in a technical role spanning solution architecture, platform engineering, cloud infrastructure, or software development   Demonstrable experience delivering production-grade solutions on at least one major public cloud platform (AWS, Azure, or Google Cloud) Proven ability to design and communicate complex technical architectures to both technical and non-technical audiences Experience in a customer-facing technical role, engaging directly with client stakeholders to understand requirements, present solutions, and drive alignment Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed Kubernetes Professional experience using at least two programming or scripting languages such as Python, Java, Go, C#, JavaScript/TypeScript, Ruby, Bash, or PowerShell Experience working across the full software development lifecycle including CI/CD, testing, deployment, and operation   Application architecture experience designing services, APIs, and multi- component  software system