Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise.
JazzX AI is defining the future of enterprise work—by building AI-native digital workers that actually get the job done.
We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that.
JazzX AI transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option.
We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligence across industries.
This is early-stage, hard, and consequential work. If you want to be part of bringing AI systems to market that actually run in production, handle real complexity, and deliver real outcomes—not demos, not chatbots—JazzX AI is the place.
SAIGroup a private investment firm that has committed $1B to build and scale next-generation, AI-powered enterprise software companies. SAIGroup’s portfolio serves 2,000+ global enterprise customers, generates nearly $800M in annual revenue, and employs 4,000+ people worldwide — providing JazzX AI with long-term capital, deep operating expertise, and access to real-world enterprise scale from day one.
Role Overview
At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. Our platform leverages Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to automate infrastructure management, deployment operations, incident response, platform intelligence, and customer instance lifecycle management.
We are looking for a highly experienced Staff Platform Engineer to lead the architecture, automation, scalability, and operational maturity of our platform infrastructure and engineering ecosystem. This role requires deep expertise across cloud infrastructure, distributed systems, networking, DevOps, platform engineering, security, and intelligent automation.
As a senior technical leader, you will drive platform strategy, define engineering standards, mentor engineers, and build highly scalable and resilient systems that improve developer productivity, operational efficiency, security, and customer experience.
Platform Architecture, Engineering & Reliability
- Architect and build scalable, secure, and highly available cloud-native platforms on Microsoft Azure
- Design and manage infrastructure automation using Terraform, GitOps, and Infrastructure as Code (IaC)
- Build and improve CI/CD systems, deployment orchestration, environment provisioning, and self-service developer platforms
- Design secure networking and authentication systems using Cloudflare, API gateways, private networking, and Zero Trust principles
- Drive platform reliability, scalability, observability, security, and operational excellence across production environments
- Lead incident management, root cause analysis, operational governance, deployment reliability, and resiliency improvements
- Build AI/LLM and Agentic operational workflows for troubleshooting, automation, operational insights, and intelligent platform management
- Improve operational efficiency through automation, intelligent tooling, anomaly detection, and cloud cost optimization
- Strong hands-on coding experience in Python, Go, or modern programming languages with strong system design and problem-solving fundamentals
- Deep understanding of cloud-native architectures, distributed systems, networking, CI/CD, infrastructure automation, and platform engineering principles
- Experience building internal developer platforms, self-service systems, operational tooling, and AI-assisted engineering workflows
- Strong understanding of SDLC, DevOps practices, Agile methodologies, release governance, and production operational models
- Strong troubleshooting and debugging skills across infrastructure, cloud, deployment, networking, and application layers
Technical Leadership & Collaboration
- Partner with engineering, architecture, security, and product teams to define platform standards and long-term technical strategy
- Improve developer experience, platform adoption, deployment reliability, and operational maturity across teams
- Lead architecture discussions, operational reviews, and production readiness initiatives
- Mentor engineers and drive engineering best practices across platform and infrastructure domains
- Drive engineering culture around automation, scalability, reliability, operational excellence, and platform standardization
- Strong communication, collaboration, stakeholder management, and technical leadership skills
Experience
- 10+ years of experience in Platform Engineering, Infrastructure Engineering, DevOps, SRE, or Cloud Engineering
- Extensive experience managing large-scale production environments on Microsoft Azure
- Experience with Kubernetes, container platforms, GitOps, Terraform, and cloud-native systems
- Experience building enterprise-grade CI/CD and deployment automation platforms
- Experience driving operational excellence, observability, reliability engineering, and infrastructure automation initiatives
- Experience leading cross-functional technical initiatives and mentoring engineers
- Experience with AI/LLM workflows, coding agents, and intelligent automation systems is a strong plus
Technical Skills
Cloud & Infrastructure
- Microsoft Azure, Azure Networking, VNet, NSG, Load Balancer, Private Endpoints, Azure Kubernetes Service (AKS), Azure Container Apps, Azure API Management, Azure Entra ID, Azure Monitor and Log Analytics
Infra, DevOps, Automation and Building Platform
- Terraform,GitHub Actions / Azure DevOps, CI/CD Pipeline Design, Infrastructure as Code (IaC), GitOps, Python / Go any programming language
Networking & Security
- Cloudflare Gateway / WAF, API Security, Authentication & Authorization, SSO Integration (Okta, Entra ID), Network Security and Zero Trust concepts
Observability & Operations
- Monitoring and Alerting, Logging and Tracing, Incident Management, Root Cause Analysis, Reliability Engineering
AI & Platform Intelligence
- LLM-based operational workflows, Agentic automation systems, AI-assisted incident analysis and remediation, Intelligent anomaly detection and operational insights
Nice To Have
- Kubernetes ecosystem tools, Service Mesh, Vector databases, MCP/Agentic orchestration frameworks, FinOps and cloud cost optimization tools
Why Join JazzX AI:
What draws people to JazzX AI is the opportunity to build something truly foundational.
We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.
JazzX AI brings together vision, deep technology, and purpose. This is not about experimenting with AI features; it’s about turning the promise of AGI into practical, auditable, and human-aligned systems that enterprises can trust and rely on at scale. The work here directly impacts productivity, efficiency, and decision-making in complex, real-world environments.
If you’re motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact.
Headquartered in Los Altos, CA. Backed by SAIGroup.
