Principal Platform Infrastructure Engineer (Containers)
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+2 more
Job description
What makes this role different: the platform is agent-operated. Deploys, migrations, drift reconciliation, and infra standup are automated and encoded as self-verifying runbooks that AI agents execute. We are not hiring someone to run those procedures by hand. We are hiring the person who designs the system, writes the guardrails that let agents execute it safely, and owns the failures no runbook covers yet., * System & Platform Design: Own infra topology, scaling and blast-radius boundaries, the build/deploy graph, database ownership boundaries, and cost ceilings - the decisions agents execute but can’t make.
- Guardrail Engineering: Build the validation gates, idempotency checks, drift detectors, and runbooks that keep both humans and agents from doing damage. Your deliverable is the safety system, not the deploy.
- Escalation Tier: Diagnose the novel failures - consumer lag, DLQs, materialized-view chains, consent ordering. Write the runbook the first time; agents handle it after.
- Reliability, Capacity & Cost: Own the 500K events/sec target: load testing, Karpenter/HPA tuning, Database sizing, SLOs and alerting.
- Security & Secrets Boundary: Own IAM/IRSA, secret rotation, the auth chain, and what the agent/MCP surface is allowed to do.
- Agent-Fleet Operability: Keep skills, runbooks, and agent context in sync with reality. A stale runbook is a wrong actor, executed confidently.
- Incident Leadership: Lead incidents and capture every fix as a new runbook plus regression test.
Requirements
- Experience: 5+ years operating production Kubernetes and cloud infrastructure (AWS) at scale.
- IaC Discipline: Strong Terraform and GitOps/Kustomize practice, with a bias for making operations idempotent, automated, and self-verifying.
- Incident Judgment: Real incident-response experience on distributed-systems failures - databases, streaming, consumer lag, data integrity.
- Data Systems Fluency: You know how Postgres, a columnar store, and a log/streaming bus behave under load.
- Agent Fluency: Comfort working alongside AI agents - writing the guardrails, runbooks, and checks that let automation operate safely, and knowing where a human must stay in the loop.
- Instincts: You reach for ‘encode this as a check’ before ‘I’ll remember to do this.’ You’d rather delete a manual step than document it. You treat a wrong runbook as a production bug.
Benefits & conditions
- Salary range of USD $190,000 to $230,000 base plus significant equity (we do not have geo based salaries)
- High growth startup - plenty of room for you to directly impact the company and grow your career!
- Work from home (or wherever)
- Fun - We’re passionate and enjoy what we do
- Competitive compensation and opportunity for equity
- Flexible paid time off
About the company
Postscript is the AI messaging platform trusted by 20,000+ Shopify brands - including Brooklinen, Ruggable, True Classic, and Dr. Squatch.
With a mission to make SMS your number one revenue driving channel, we built the best-in-class SMS marketing platform and launched revenue-driving AI features not available on any other platform. And we’re just getting started.
Backed by Greylock and Y Combinator, fully remote since 2018., You are welcome here. Postscript is an ever-evolving place of equal employment for talented individuals.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.workingnomads.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Dev Digest 121 - AI goes offline
Learning Kubernetes made easy with KubeCampus
Dev Digest 137 - AI'm not sure about this
Dev Digest 134 - Where pixels sing?