Site Reliability Engineer (US - Pacific time)

PostHog is your product's context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including:

• A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking

• PostHog MCP for users and their agents to query and act on their product and business data

• Data warehouse so users can query product and customer data together using custom SQL insights.

We are: •

You won't be in a typical "keep the lights on" SRE role. The work is about turning a fast-growing, stateful system into a predictable, well-automated platform. (provisioning, scaling, rebalancing, recovery) That means reducing operational stress, designing safe automation for traffic-heavy workloads, and building the tooling and patterns that let the system scale without scaling human effort. You'll work on the kind of problems that only show up at large scale (petabytes of data, thousands of cores, constant ingestion) across a multi-region, multi-account AWS platform running many services on Kubernetes.

• 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

You'll have room to design and automate, not just respond to alerts. You should join this team if you like deep ownership of production systems and enjoy building the platform layer that everything else runs on.

• 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)

• 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

You don't need to be an expert in every system we run on day one. But you do need to enjoy owning complex infrastructure and learning how the pieces fit together.

• Experience with GitOps workflows (ArgoCD) and CI/CD pipelines (GitHub Actions)

• Experience with building AI agent-enabled base-level infra services for teams that move fast

• Familiarity with multi-region infrastructure and the consistency/availability tradeoffs that come with it

We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.

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