DevOps - Site Reliability Engineer - AWS in Bengaluru, India
KONG
India, Bengaluru
DevOps - Site Reliability Engineer - AWS in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
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As an SRE 2 for Managed Gateways, you will be pivotal in ensuring the rock-solid reliability, scalability, and performance of Kong's critical managed services. Implement and maintain robust automation for deploying and operating Kong's Managed Gateways across various cloud environments.
Monitor system health, performance, and uptime, striving for 99.99% availability for our core infrastructure.
Resolve complex production incidents efficiently, participating actively in on-call rotations to maintain service continuity.
Contribute proactively to the prevention of technical debt, ensuring sustainable and scalable operations as Kong grows.
Collaborate closely with engineering teams to design, review, and implement resilient and highly scalable services.
2+ years of experience applying Site Reliability Engineering (SRE) principles and practices in a production environment.
Proficiency in at least one of Golang or Python for automation, tooling, and infrastructure as code.
Hands-on experience with Kubernetes and major cloud platforms such as AWS, GCP, or Azure.
Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, Datadog).
Solid understanding of networking concepts, distributed systems, and API gateways.
Own the reliability and performance of critical production systems with a strong sense of accountability.
Drive urgent resolution of issues, demonstrating a bias for action and minimizing customer impact.
Bonus Points
Experience with Kong Gateway or other API management platforms.
Active contributions to open-source projects or developer communities.
the AI Connectivity Company, is building the connectivity layer of AI. Trusted by the Fortune 500® and AI-native startups alike, Kong's 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.
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