About JazzX AI : 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.
- Headquartered in Los Altos, CA. Backed by SAIGroup.

About SAIGroup :

- 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.
- Learn more about JazzX AI : Learn more about SAIGroup : 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
- Solid 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

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, re

📌 Staff Platform Engineer (Bengaluru)
🏢 JazzX AI
📍 Bengaluru