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New York, New York, United States
Onsite
Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.
We're growing fast — both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.
Polymarket is looking for an Infrastructure Engineer to help build, scale, and operate the platform that our exchange and product engineering teams run on. This role is focused on the systems underneath the systems — Kubernetes, cloud infrastructure, CI/CD, observability, and reliability — that let our engineers ship fast without breaking things.
You'll be a core individual contributor working with senior engineers across the org to design, automate, and harden the infrastructure that powers Polymarket at scale. This is a high-ownership role with minimal bureaucracy and a strong bias toward execution.
Design, build, and operate the Kubernetes-based platform that runs Polymarket's services, including cluster architecture, workload scheduling, and multi-environment management
Design and implement systems for autoscaling, load balancing, service discovery, and disaster recovery that hold up under real trading volume
Write code to manage infrastructure as code, build internal tooling, and eliminate manual toil across deployment, provisioning, and operations
Build and maintain fast, reliable deployment pipelines that let engineering teams ship confidently and frequently
Build monitoring, logging, and alerting systems; participate in on-call rotations and lead root-cause analysis for production incidents
Architect and optimize our cloud footprint (AWS/GCP) for cost, performance, and security
Work closely with backend, exchange, and product engineering teams to ensure infrastructure decisions support the platform's performance and growth needs
8+ years of professional infrastructure/platform/DevOps engineering experience, ideally at a large-scale company with high-traffic, production systems
Deep hands-on experience with Kubernetes and Docker in production — cluster operations, workload orchestration, and container lifecycle management
Strong software engineering fundamentals — able to write production-grade code (Go, Python, or similar), not just configuration and scripts
Solid experience with at least one major cloud provider (AWS or GCP), including networking, IAM, compute, and storage
Experience with infrastructure-as-code tooling (Terraform, Pulumi, or similar) and CI/CD systems
Comfortable debugging complex, distributed production systems on Linux and taking ownership of correctness, performance, and uptime
(Plus) Experience operating infrastructure for high-throughput, low-latency, or financial/trading systems
(Plus) Experience with service mesh, GitOps (ArgoCD/Flux), or multi-cluster/multi-region architectures
(Plus) Familiarity with observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry)
Competitive salary & equity
Unlimited PTO
Full Health, Vision, & Dental coverage
401k match
Hardware setup: new MacBook Pro, big display, & accessories
Base salary range: $250,000 to $500,000 annually, plus equity and benefits.
This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.
