Note: The job is a remote job and is open to candidates in USA. PostHog is a product development platform that combines product analytics, AI tools, data warehousing, and developer tooling. The Site Reliability Engineer will own and automate production systems across a large, stateful, multi-region AWS platform, improving scalability, reliability, and operational efficiency. The role includes managing Kubernetes and AWS infrastructure, maintaining Terraform/Terragrunt automation, improving incident and deployment tooling, and participating in on-call response.
Responsibilities
- Operating EKS clusters across several environments with Karpenter autoscaling, Cilium networking, and ArgoCD-driven GitOps deployments
- Managing and evolving a multi AWS account organization, provisioning, networking, access control, and cross-account connectivity
- Maintaining the Terraform/Terragrunt IaC platform - modules, automated plan-on-PR / apply-on-merge pipelines, and safe patterns for shared infrastructure
- Improving operational tooling around deploys, schema changes, backups, restores, and incident response
- Reducing operational load by identifying repeat pain points and eliminating them through code and self-healing automation
- Optimizing cloud spend as you go
- Participating in on-call and incident response, with a strong focus on making incidents rarer over time
Skills
- Experience: 6+ years
- Visa: US citizen/visa only
- We're looking for people (US - Central/Eastern Timezone) that like deep ownership of production systems, people that are not afraid of working with stateful infrastructure and love working in AWS, VMs, automation, and making messy systems reliable
- Strong experience operating production infrastructure on AWS. Not just one account, but understanding organizational boundaries, IAM, and networking between many
- Experience automating infrastructure using Terraform or Terragrunt at scale, including module design and state management
- Solid understanding of Linux systems (disk, memory, networking, failure modes)
- Experience supporting stateful systems (databases, queues, storage systems, etc.)
- Ability to debug and reason about performance and reliability issues in production
- You're comfortable owning systems end-to-end, including on-call responsibilities
- Experience with building AI agent-enabled base-level infra services for teams that move fast
- Deep hands-on experience with Kubernetes in production (EKS preferred). You've debugged node pressure, networking issues, and deployment failures at scale (thousands of nodes)
- Experience with GitOps workflows (ArgoCD) and CI/CD pipelines (GitHub Actions)
- Familiarity with multi-region infrastructure and the consistency/availability tradeoffs that come with it
Benefits
- Natively remote company
- Default to async communication
- Tuesdays and Thursdays are meeting-free days
- Teams are flexible and easy to change when needed
Company Overview