Senior DevOps Engineer - Gong.io

A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region Advanced troubleshooting when production, staging, or dev environments break in unexpected ways Every engineer at Gong. Our platform is the substrate they deploy on, so your work directly affects their delivery speed Cost, reliability, and security of the infrastructure that underpins the product our customers pay for The resilience of Gong's customer experience. The platform you build determines whether thousands of revenue teams can trust Gong to be there when they need it The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there 5+ years in DevOps or platform engineering, with deep AWS experience and proven ownership of high-scale production systems (reliability, performance, and cost optimization) Strong hands-on with containers and orchestration (Docker, Kubernetes, Helm) in real production, not just demos Fluent in IaC and GitOps (Terraform, ArgoCD) and CI/CD tooling like Jenkins, GitHub Actions, or Argo Workflows Solid grasp of cloud security and architecture best practices: building systems that are resilient, scalable, and cost-efficient by default Comfortable with monitoring and logging stacks (Datadog, Coralogix, Prometheus, Grafana): you design for observability, not bolt it on after Scripting fluency in Python, bash, or Node.js to automate anything that shouldn't be done twice Linux at a systems level: you can troubleshoot DNS, iptables, or systemd issues without hesitation Clear communicator who collaborates across R&D, Security, and Product, documents decisions, and follows through on delivery, from RFC to rollout Bonus: experience with big-data infrastructure, Java/JVM services, or multi-cloud (GCP/Azure)

A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region Advanced troubleshooting when production, staging, or dev environments break in unexpected ways Every engineer at Gong. Our platform is the substrate they deploy on, so your work directly affects their delivery speed Cost, reliability, and security of the infrastructure that underpins the product our customers pay for The resilience of Gong's customer experience. The platform you build determines whether thousands of revenue teams can trust Gong to be there when they need it The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there 5+ years in DevOps or platform engineering, with deep AWS experience and proven ownership of high-scale production systems (reliability, performance, and cost optimization) Strong hands-on with containers and orchestration (Docker, Kubernetes, Helm) in real production, not just demos Fluent in IaC and GitOps (Terraform, ArgoCD) and CI/CD tooling like Jenkins, GitHub Actions, or Argo Workflows Solid grasp of cloud security and architecture best practices: building systems that are resilient, scalable, and cost-efficient by default Comfortable with monitoring and logging stacks (Datadog, Coralogix, Prometheus, Grafana): you design for observability, not bolt it on after Scripting fluency in Python, bash, or Node.js to automate anything that shouldn't be done twice Linux at a systems level: you can troubleshoot DNS, iptables, or systemd issues without hesitation Clear communicator who collaborates across R&D, Security, and Product, documents decisions, and follows through on delivery, from RFC to rollout Bonus: experience with big-data infrastructure, Java/JVM services, or multi-cloud (GCP/Azure)

A multi-cloud, multi-region Kubernetes platform managed as code via Crossplane, Helm, and ArgoCD CI/CD pipelines (Jenkins, GitHub Actions, Argo Workflows) that deploy, test, and scale workloads across environments Monitoring, logging, and alerting across the stack (Datadog, Coralogix, Sentry, Wiz), and the on-call rotations that keep it healthy High-scale production problems: driving continuous platform and security upgrades across the fleet, under real traffic, without impacting live tenants The velocity-vs-safety tradeoff: designing GitOps workflows where a single PR can safely impact production across clouds and region Advanced troubleshooting when production, staging, or dev environments break in unexpected ways Every engineer at Gong. Our platform is the substrate they deploy on, so your work directly affects their delivery speed Cost, reliability, and security of the infrastructure that underpins the product our customers pay for The resilience of Gong's customer experience. The platform you build determines whether thousands of revenue teams can trust Gong to be there when they need it The direction of the platform itself. You'll have the autonomy to challenge existing architecture and drive meaningful changes, not just maintain what's already there 5+ years in DevOps or platform engineering, with deep AWS experience and proven ownership of high-scale production systems (reliability, performance, and cost optimization) Strong hands-on with containers and orchestration (Docker, Kubernetes, Helm) in real production, not just demos Fluent in IaC and GitOps (Terraform, ArgoCD) and CI/CD tooling like Jenkins, GitHub Actions, or Argo Workflows Solid grasp of cloud security and architecture best practices: building systems that are resilient, scalable, and cost-efficient by default Comfortable with monitoring and logging stacks (Datadog, Coralogix, Prometheus, Grafana): you design for observability, not bolt it on after Scripting fluency in Python, bash, or Node.js to automate anything that shouldn't be done twice Linux at a systems level: you can troubleshoot DNS, iptables, or systemd issues without hesitation Clear communicator who collaborates across R&D, Security, and Product, documents decisions, and follows through on delivery, from RFC to rollout Bonus: experience with big-data infrastructure, Java/JVM services, or multi-cloud (GCP/Azure)