Site Reliability Engineer 2
- Work arrangement
- Remote
- Occupation
- Engineering, Science & Manufacturing
- Location
- Washington, United States
- Compensation
- Not disclosed
- Apply by
- April 10, 2027
About this role
Are you ready to unlock intelligence?
If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
Are you ready to unlock intelligence?
If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
About the Role:
As aSite Reliability Engineer, you’ll join the global Platform SRE team responsible forbuilding, operating, and scaling Kong’s multi-region SaaS platformthat powers the world’s API connectivity.
You’ll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You’ll work on everything frommulti-region Kubernetes clusterstoservice mesh and gateway architectures, ensuring the reliability, scalability, and security of Kong’s SaaS offerings.
This is a hands-on role ideal for engineers who thrive onrunning production SaaS systems at scale, automating operations, and continuously improving performance, resilience, and deployment pipelines.
What You’ll Do:
Operate and scaleKong’s global SaaS platform (Konnect), ensuring reliability, availability, and performance across regions and clouds.
Build, automate, and maintainKubernetes-based infrastructureand deployment workflows usingTerraform/Terragrunt,Helm, andArgoCD.
Design, maintain, and optimizemulti-region data and caching layers— includingPostgreSQL, Redis, ClickHouse, and Druid— for high availability and low latency.
Operate and improveKong GatewayandKong Meshenvironments supporting hybrid and distributed architectures.
Develop and maintainCI/CD pipelinesandGitOps workflowsto automate service delivery and ensure consistent infrastructure changes.
Enhanceobservabilityandincident response readinessthrough systems likeDatadog, Prometheus, Grafana, and Thanos, defining and tracking SLOs.
Collaborate closely with development and security teams to ensure smooth operation ofSaaS servicesin compliance with reliability, security, and regulatory standards.
Participate in a global24/7 on-call rotationand drive continuous improvement of operational playbooks and postmortem practices.
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Lead and contribute toscaling initiativesthat improve elasticity, reliability, and cost-efficiency across the SaaS platform.
What You’ll Bring:
BS in Computer Scienceor equivalent practical experience.
Proven experience managingSaaS or PaaS systemsat enterprise scale (multi-region, multi-tenant, secure environments).
Deep expertise inKubernetes, including debugging cluster/networking issues and designing for fault tolerance and scalability.
Strong proficiency withInfrastructure as Codetools likeTerraformorTerragrunt.
Experience withCI/CD pipelinesandGitOps workflows(ArgoCD, Atlantis, Helm).
Proficiency in one or more programming languages (Go, Python, Bash) for automation and tooling.
Solid understanding ofLinux/Unix systems,networking (DNS, TLS/SSL, HTTP),load balancersanddistributed systems.
Experiencing working with API gateway and service mesh technologies
Familiarity withstreaming systemslikeKafkaand observability platforms (Datadog, Prometheus, Grafana).
Experience working in a24/7/365 production supportenvironment.
Bonus Points:
Hands-on experience withKong Gateway,Kong Mesh, or similar service connectivity technologies.
Experience operatingClickHouse,Druid, or othertime-series and analytics databases.
Experience managingPostgreSQLandRedisin multi-region configurations.
Working knowledge ofAWS networking(PrivateLink, Transit Gateway, VPC Peering, Firewalls),Azure VNet, orGCP NCC.
Strong understanding ofdisaster recovery,resiliency testing, andcompliance-driven reliabilitypractices.
#LI-KC1
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, 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. For more information, visitwww.konghq.com.