Staff Platform Engineer

JazzX AI · Bengaluru · Engineering

Posted 2026-08-08

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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

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