Platform Engineering Manager

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If you dont think you meet all of the criteria below but are still interested in the job please apply. Nobody checks every box - were looking for candidates that are particularly strong in a few areas and have some interest and capabilities in others.

Kong Cloud Gateways is Kongs foundational cloud-native SaaS platform powering its managed API and AI Gateway offerings. It provides a multi-tenant control plane automation and platform services that let customers securely deploy operate and scale dedicated gateway infrastructure with the simplicity of a fully managed cloud service. Behind that experience sits a distributed platform responsible for provisioning fleet management software lifecycle zero-downtime upgrades observability security and multi-region operations across globally distributed cloud infrastructure - built to a target of 99.99% availability balancing reliability performance operational excellence and infrastructure efficiency at global SaaS scale.

As a Software Engineering Manager for Managed Gateways Infrastructure you will own and grow Kongs Bangalore-based engineering team taking full accountability for this multi-tenant SaaS platform. Kong Cloud Gateways is growing 100% YoY and as enterprises increasingly adopt AI alongside traditional APIs this platform becomes an increasingly important part of Kongs API and AI strategy - every improvement in automation scalability and operational excellence you drive accelerates new platform capabilities and lets product teams innovate faster. Beyond the technical charter you play a key role in shaping a dynamic engineering culture - one built on urgency ownership and first-principles thinking - as the team scales to match the pace of the business.

This is a highly technical hands-on leadership role - youre expected to stay close to the systems dig into hard problems alongside your team and not hesitate to get into the trenches when it matters.

• Own and grow Kongs Managed Gateways Infrastructure engineering team in Bangalore - scaling the teams capability raising the technical bar and staying hands-on in critical implementations and incidents not just directing from a distance.

• Own the reliability and scalability of a multi-tenant SaaS infrastructure platform serving customers across regions and clouds - every architectural decision has to hold up under multi-tenant load isolation and blast-radius considerations not just single-tenant assumptions.

• Drive 4-9s (99.99%) availability across Kongs global infrastructure footprint - owning capacity resilience and failure-mode design across multi-region multi-cloud deployments (AWS Azure GCP) so Cloud Gateways stays up for customers everywhere at any scale.

• Act as a direct technical contributor when it counts - complex incidents architecture reviews and high-stakes implementations that materially move the needle on Managed Gateways growth and reliability.

• Lead mentor and grow a high-performing engineering team building and operating Kongs SaaS infrastructure for Managed Gateways in direct support of our critical enterprise customer base globally.

• Architect and implement robust scalable and fault-tolerant cloud-native systems using technologies like Kubernetes Golang and major cloud providers (AWS Azure GCP).

• Own the complete operational lifecycle end-to-end - infrastructure reliability on-call incident response and blameless post-mortems - as one integrated engineering charter not a separate function.

• Drive developer delight and operational efficiency through automation self-service tooling and streamlined workflows for deploying and managing API gateways while proactively preventing technical debt and reducing operational toil.

• Define track and report on key SLOs and SLIs and advocate for architectural best practices that keep Managed Gateways performant and resilient as it scales.

• Collaborate cross-functionally with Product engineering and support teams to influence roadmap decisions and ensure operational readiness for new features.

• Proven experience leading and managing software engineering teams responsible for infrastructure and reliability in a fast-paced high-growth environment with a track record of staying technically hands-on rather than purely delegating.

• Deep current expertise in designing deploying and operating highly available distributed systems on cloud platforms (AWS Azure or GCP) - this role needs someone who can still open a terminal and debug production not just review architecture diagrams.

• Extensive hands-on experience with Kubernetes (k8s) and container orchestration in production environments.

• Proficiency in Golang or similar modern programming languages for infrastructure automation and service development.

• Strong understanding of observability principles and experience with tools such as Prometheus Grafana OpenTelemetry or similar.

• Demonstrated ability to manage critical incidents personally when needed perform root cause analysis and implement effective preventative measures.

• Familiarity with API gateway technologies service mesh or network proxies is a significant plus.

• Ownership: You take full responsibility for the reliability and performance of systems driving initiatives from conception to completion.

• Urgency: You thrive in dynamic environments prioritizing critical issues and delivering impactful solutions with speed and precision.

• Collaboration: You build strong relationships foster open communication and work effectively across global teams to achieve shared goals.

• Experience with open-source contributions or active participation in SRE/cloud-native communities.

• Certifications in cloud platforms (e.g. AWS Certified DevOps Engineer) or Kubernetes (e.g. CKA CKAD).

• Background in companies focused on developer tools infrastructure software or API management.

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About Kong:

Kong Inc. the AI Connectivity Company is building the connectivity layer of AI. Trusted by the Fortune 500 and AI-native startups alike Kongs unified API and AI platform enables organizations to secure manage accelerate govern and monetize the flow of intelligence across APIs and AI traffic on any model any cloud. For more information visit .

Required Experience:

Manager