Platform DevOps Engineer
About the job
- Hands-on Kubernetes experience designing, building, or operating workloads on Amazon Elastic Kubernetes Service, Azure Kubernetes Service, Google Kubernetes Engine, or self-managed Kubernetes.
- Hands-on Terraform and Terragrunt experience for infrastructure provisioning and automation.
- Hands-on Helm experience for Kubernetes application deployment.
- Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby.
- Direct Platform or DevOps Engineer experience or equivalent.
- Design, build, and operate reliable production infrastructure supporting AI Co-Workers.
- Own Kubernetes-based platforms used to deploy and run AI workloads.
- Build and maintain infrastructure as code via GitOps methodology using Terraform and Terragrunt.
- Maintain reusable GitHub Actions continuous integration and continuous delivery workflows for Docker image builds, Terraform plan/apply gates, and cross-repository deployments.
- Implement and maintain Helm-based deployment workflows leveraging GitOps tools and technologies such as ArgoCD.
- Define, measure, and improve system reliability using service-level indicators, service-level objectives, and service-level agreements.
- Participate in the on-call rotation, incident response, root cause analysis, and post-mortems.
- Reduce operational toil through automation and engineering improvements.
- Build and improve observability across monitoring, logging, and alerting.
- Partner closely with engineers to ensure systems are resilient, scalable, and secure.
- Operate across the build, deploy, and operate phases of the software lifecycle.
- Troubleshoot and remediate issues across a highly variable, multi-layer technology stack.
- Contribute to product feature enhancements through the design and implementation of architectural improvements to the technology stack that satisfy resiliency, security, and compatibility requirements across multiple cloud providers.
- Experience working within a defined software development life cycle, including continuous integration and continuous delivery, release processes, and end-to-end delivery from design to operations.
- Hands-on experience with at least one major cloud provider such as Amazon Web Services, Azure, or Google Cloud.
- Experience with ArgoCD or GitOps-style deployment approaches.
- Five or more years of relevant professional experience.
- DevOps or DevSecOps experience, including continuous integration and continuous delivery ownership, infrastructure automation, and security considerations.
- Relevant certifications such as Certified Kubernetes Administrator, Certified Kubernetes Application Developer, cloud certifications for AWS, Azure, and/or Google Cloud Platform, DevOps, DevSecOps, or programming credentials.
About the company
Future Secure AI builds persona-based, multi-agent AI Co-Workers designed for large enterprises and private equity firms. Their core offering, Red-Zone AI Co-Workers, consists of over 100 agent personas that automate complex, high-stakes workflows. The agents integrate with a client’s core systems and governance frameworks and operate securely on the client’s network, remaining cloud- and LLM-agnostic to avoid vendor lock-in. Workflows run within a hybrid team, with AI Co-Workers reporting to human managers and maintaining human-in-the-loop oversight. The company differentiates itself by targeting mission-critical environments with on-premise deployment, strong governance, and integration into existing IT and security controls, rather than generic AI tools. Their stated goal is to deliver 10x to 20x ROI on operating costs, often paying for themselves within six months. Clients span infrastructure, services, finance, health, and connected economies.
Company Size
201-500
Company Stage
N/A
Total Funding
N/A
Headquarters
N/A
Founded
N/A
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Simplify's Take
What believers are saying
- September 2026 pre-IPO fundraising reached a $1.8 billion valuation cap.
- April 2026 Austin HQ and triple-hiring plan signal aggressive scaling.
- Customers cite Macquarie, Healius, FIS, and Toga for finance and operations wins.
What critics are saying
- ServiceNow and Salesforce shipped agent platforms in 2026, compressing differentiation quickly.
- September 2026 TTAB appeal shows trademark vulnerability around Future Secure AI branding.
- Multi-agent systems raise security and cascading-failure risks across privileged enterprise systems.
What makes Future Secure AI unique
- Red-Zone AI targets complex, mission-critical workflows beyond copilots or simple agents.
- On-network, cloud-agnostic deployments with 100+ agents reduce lock-in for regulated enterprises.
- Persona-based co-workers report to human managers, fitting hybrid enterprise teams and governance.
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Benefits
- Flexible Work Hours