Principal Platform Engineer

Mumba Technologies, Inc.; India; On-site; INR 5,000,000 - 9,000,000; Full time

Job summary

Mumba Technologies, Inc. seeks a hands-on Principal Platform Engineer to shape scalable CIAM, AI-enabled platforms, and cloud-native infrastructure. You will lead architecture and delivery across Kubernetes, IaC, and platform services.

You will own end-to-end initiatives, mentor engineers, and collaborate with Product and Security to drive modernization, reliability, and developer experience in a fast-evolving tech environment.

Qualifications

• 11+ years of experience in software/platform engineering or distributed systems.
• Strong hands-on Python development and coding expertise.
• Deep experience with platform-level systems and distributed architectures.
• Expertise in CIAM, Authentication, Authorization, and Identity platforms.
• Hands-on with Kubernetes and cloud-native architectures.
• Experience with Infrastructure-as-Code, automation, and CI/CD practices.
• Experience designing highly available, scalable, secure systems.
• Strong observability, monitoring, logging, tracing and SRE practices.
• Experience with OAuth 2.0, OpenID Connect, SAML, and modern identity protocols.
• Experience integrating AI/GenAI into production platforms.

Responsibilities

• Own architecture and technical direction for large-scale platform and AI integration initiatives.
• Serve as DRI for critical engineering programs, driving design, planning, and delivery.
• Design scalable CIAM, authentication, and authorization platform services.
• Develop reusable platform capabilities used by multiple teams.
• Drive platform modernization, architecture redesign, and tech transformation.
• Build AI-enabled workflows and integrate LLMs and AI APIs into production systems.
• Design AI-enabled workflows using LLMs, RAG, AI agents and vector databases.
• Develop cloud-native platforms using Kubernetes and modern infra tech.
• Improve developer experience and engineering productivity through tooling.
• Establish standards, patterns, security practices, and platform governance.
• Design for reliability, observability, security, and operational excellence.
• Drive CI/CD, IaC, automation, and deployment best practices.

Skills

11+ years experience

Python

Platform architectures

CIAM

Authentication

Authorization

Kubernetes

Cloud-native

Developer experience

AI integration

Distributed systems

Tools

Terraform

Helm

ArgoCD

Job description

We're looking for a highly experienced Principal Platform Engineer to drive foundational platform, architecture, infrastructure, and AI integration initiatives across our technology ecosystem. This is a hands-on technical leadership role, focused on building scalable platform capabilities rather than application-level development.

You’ll own large-scale initiatives end-to-end - from architecture and technical strategy to implementation and production delivery - while partnering closely with Product, Engineering, Security, and cross-functional teams. The ideal candidate brings deep expertise in CIAM, Authentication, Authorization, distributed systems, cloud-native platforms, Kubernetes, developer experience, and AI-enabled platforms, along with strong hands-on Python development skills.

Key Responsibilities

• Own architecture and technical direction for large-scale platform, infrastructure, and AI integration initiatives.
• Act as the Directly Responsible Individual (DRI) for critical engineering programs, driving design, planning, execution, and delivery.
• Design and build scalable CIAM, authentication, and authorization platform services.
• Develop reusable platform capabilities consumed by multiple engineering teams.
• Drive platform modernization, architecture redesign, and technology transformation initiatives.
• Build and integrate AI/GenAI capabilities into platform services, developer tooling, and engineering workflows.
• Integrate LLMs and AI APIs into production systems to enable intelligent automation, developer productivity, and platform intelligence.
• Design AI-enabled workflows using technologies such as LLMs, RAG, AI agents, MCP, and vector databases where appropriate.
• Build cloud-native platforms using Kubernetes and modern infrastructure technologies.
• Develop automation frameworks, developer tooling, and solutions that improve developer experience and engineering productivity.
• Establish engineering standards, architectural patterns, security best practices, and platform governance.
• Design for reliability, scalability, observability, security, and operational excellence across platform services.
• Drive CI/CD, Infrastructure-as-Code, automation, and deployment best practices.
• Work closely with Product Management and engineering stakeholders to translate business requirements into scalable technical solutions.
• Manage technical dependencies across teams and drive alignment in complex and ambiguous environments.
• Mentor senior engineers and provide technical leadership across architecture, coding, AI adoption, and engineering practices.

Required Skills

• 11+ years of experience in software engineering, platform engineering, infrastructure, or distributed systems.
• Strong hands-on Python development and coding expertise.
• Deep experience designing and building platform-level systems and distributed architectures.
• Strong expertise in CIAM, Authentication, Authorization, and Identity platforms.
• Hands-on experience with Kubernetes and cloud-native architectures.
• Strong experience with Infrastructure-as-Code, automation, and modern CI/CD practices.
• Experience designing highly available, scalable, secure, and reliable systems.
• Strong understanding of observability, monitoring, logging, distributed tracing, and SRE/reliability practices.
• Experience with OAuth 2.0, OpenID Connect (OIDC), SAML, and modern identity protocols.
• Experience with identity platforms such as Auth0, Okta, or similar solutions.
• Hands-on experience integrating AI/GenAI capabilities into production applications or platforms.
• Experience working with LLMs, AI APIs, RAG, AI agents, MCP, or vector databases.
• Strong understanding of APIs, microservices, networking, security, and distributed systems.
• Proven experience driving architecture redesigns, platform modernization, and technical strategy.
• Strong stakeholder management and communication skills with the ability to work with Product and Engineering leadership.

Nice to Have

• Experience with AWS, Azure, or GCP cloud platforms.
• Experience with Terraform, Helm, ArgoCD, or similar infrastructure/deployment technologies.
• Experience with service meshes, API gateways, secrets management, and platform security.
• Experience building reusable Platform-as-a-Service capabilities for engineering teams.
• Experience implementing AI-assisted engineering workflows and developer productivity tools.
• Experience with SRE practices, reliability engineering, capacity planning, and incident management.
• Experience in large-scale enterprise or high-growth technology environments.

What We're Looking For

A hands-on Principal Engineer and technical leader who can operate at both the architecture and implementation level. Someone who can take ownership of ambiguous, high-impact platform initiatives, make critical architectural decisions, write production-quality code, and drive execution across multiple teams.

The ideal candidate combines deep technical expertise in CIAM, distributed systems, Kubernetes, cloud infrastructure, Python, and AI/GenAI integration with strong product thinking, stakeholder management, and organizational influence. If you enjoy building secure, scalable, AI-enabled foundational platforms that enable engineering teams to move faster and more effectively, we'd love to hear from you.