Note: The job is a remote job and is open to candidates in USA. Kong is a leading developer of API and AI connectivity technologies, and they are seeking a Staff Site Reliability Engineer for their Project Volcano. This role involves owning the reliability of the Volcano platform, architecting its infrastructure, and building the GitOps and CI/CD backbone while collaborating with various teams to ensure reliability and compliance.
Responsibilities
- Own reliability for Volcano end-to-end: Define and drive SLOs, error budgets, and incident response practices for all Volcano services — edge deployments, managed Postgres, auth, realtime, storage, and the control plane
- Architect the platform's infrastructure: Design and build the multi-region Kubernetes infrastructure, networking, and data plane that powers Volcano's edge deployment pipeline and backend-as-a-service capabilities
- Build the GitOps and CI/CD backbone: Establish deployment automation, canary pipelines, and preview environment provisioning using ArgoCD, Helm, and Terraform/Terragrunt — setting patterns the broader team will follow
- Scale managed data services: Design, operate, and harden multi-tenant PostgreSQL clusters, Redis caching layers, and object storage — with a focus on data isolation, performance, and disaster recovery
- Drive observability from day one: Instrument every Volcano service with meaningful SLIs; build dashboards, alerts, and runbooks using Datadog, Prometheus, and Grafana before services go live, not after incidents
- Lead cross-functional reliability work: Collaborate with the OCTO team, product engineering, and security to bake reliability and compliance into Volcano's architecture — not bolt it on later
- Set SRE culture and standards: Mentor engineers across Volcano's contributing teams on reliability principles; lead postmortems, define on-call practices, and build a blameless engineering culture
- Evaluate and adopt emerging technologies: Given Volcano's greenfield nature, evaluate and make architectural decisions on edge runtimes, serverless compute, vector databases, and AI-native infrastructure components
Skills
- BS in Computer Science or equivalent; substantial experience at Staff or Principal IC level in SRE/Platform Engineering
- Proven track record building SRE or platform engineering practices for developer-facing platforms or PaaS/SaaS products — ideally at greenfield stage
- Deep Kubernetes expertise: multi-tenant cluster design, networking (CNI, service mesh, ingress), autoscaling, and security hardening
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