Staff SRE (Platform Engineering)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Staff SRE (Platform Engineering): Building and ensuring the reliability of Project Volcano, an internal developer platform for 's engineering ecosystem, with an accent on multi-region Kubernetes infrastructure and GitOps. Focus on designing scalable data services, establishing observability standards, and architecting edge deployment pipelines.
Location: Remote (United States)
Salary: $150K – $210K
Company
is a leading developer of API and AI connectivity technologies, providing infrastructure that powers the agentic era through its unified platform, Konnect.
What you will do
- Own end-to-end reliability for Volcano services, including edge deployments, managed Postgres, auth, and the control plane.
- Architect multi-region Kubernetes infrastructure, networking, and data planes to power edge deployment pipelines.
- Build the GitOps and CI/CD backbone using ArgoCD, Helm, and Terraform/Terragrunt.
- Scale and harden multi-tenant PostgreSQL clusters, Redis caching layers, and object storage.
- Implement comprehensive observability by defining SLIs and building dashboards/alerts using Datadog, Prometheus, and Grafana.
- Mentor engineers on reliability principles and establish a blameless engineering culture through postmortems.
Requirements
- BS in Computer Science or equivalent professional experience.
- Substantial experience at Staff or Principal IC level in SRE or Platform Engineering.
- Proven track record of building SRE practices for developer-facing platforms or PaaS/SaaS products.
- Deep Kubernetes expertise, including multi-tenant cluster design, networking (CNI, service mesh), and security hardening.
- Must be based in the United States.
Culture & Benefits
- Comprehensive healthcare benefits, 401(k) plan, and disability insurance for US-based employees.
- Opportunity to be the founding reliability voice for a high-visibility strategic initiative (Project Volcano).
- Work in a high-impact environment building the next generation of developer platforms for the AI era.
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