ipelines and GitOps workflows (ArgoCD, Atlantis, Helm). - Proficiency in one or more programming languages (Go, Python, Bash) for automation and tooling. - Solid understanding of Linux/Unix systems, networking (DNS, TLS/SSL, H

Location & work details

Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.

Original location: Washington, United States
Country: Washington, United States (ATS location fields)
Work mode: Remote (ATS workplaceType/location)
Salary: $123K - $150K (ATS compensation field)
Stack: - Proficiency in one or more programming languages (Go, Python, Bash) for automation and tooling. (Source language/tool mention)
Stack: - Proficiency in one or more programming languages (Go, Python, Bash) for automation and tooling. (Source language/tool mention)
Stack: You’ll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You’ll work on everything from multi-region Kubernetes clusters to service mesh and gateway architectures, ensuring the reliability, scalability, and security of Kong’s SaaS offerings. (Source language/tool mention)
Stack: - Design, maintain, and optimize multi-region data and caching layers — including PostgreSQL, Redis, ClickHouse, and Druid — for high availability and low latency. (Source language/tool mention)
Stack: - Familiarity with streaming systems like Kafka and observability platforms (Datadog, Prometheus, Grafana). (Source language/tool mention)
Stack: - Design, maintain, and optimize multi-region data and caching layers — including PostgreSQL, Redis, ClickHouse, and Druid — for high availability and low latency. (Source language/tool mention)
Stack: You’ll design, automate, and run production systems serving thousands of customers across AWS, GCP, and Azure. You’ll work on everything from multi-region Kubernetes clusters to service mesh and gateway architectures, ensuring the reliability, scalability, and security of Kong’s SaaS offerings. (Source language/tool mention)
Stack: - Build, automate, and maintain Kubernetes-based infrastructure and deployment workflows using Terraform/Terragrunt, Helm, and ArgoCD. (Source language/tool mention)
Stack: ystems serving thousands of customers across AWS, GCP, and Azure. You’ll work on everything from multi- (GTM description)
Stack: rving thousands of customers across AWS, GCP, and Azure. You’ll work on everything from multi-region Kube (GTM description)
Stack: multi-region data and caching layers — including PostgreSQL, Redis, ClickHouse, and Druid — for high availabi (GTM description)
Stack: and caching layers — including PostgreSQL, Redis, ClickHouse, and Druid — for high availability and low latenc (GTM description)
Stack: response readiness through systems like Datadog, Prometheus, Grafana, and Thanos, defining and tracking SLOs. (GTM description)
Normalization: Explicit source location text; no city-only country inference.

Employer posting

Site Reliability Engineer 2

Source details

Company identifier: kong
Source ID: ashby:kong:7ae8b357-a8f0-4c3d-868d-add1789de7ff
Board: ashby:kong
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 1
Department as supplied: All Cost Center

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