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About the Role

This is the first role at DV dedicated entirely to the AI platform. You'll join the engineers building it today with AI infrastructure as your full focus, having the time to go deep on the hardest problems and keep the platform moving day to day. A lot of it is already live and needs operating and hardening, with future work including group-based authorization, a consolidated multi-region model gateway with real failover, and cost attribution.

Responsibilities

Run and harden the MCP gateway day to day, acting as a first responder when it breaks.
Take the lead on closing the authorization gap, implementing group-based access, per-tool RBAC, and scoped OAuth.
Consolidate the model gateway estate onto one supported deployment and drive it to GA, including multi-region, health-checked failover.
Push AI observability to GA by finishing the trace pipeline and extending it across tools.
Build out the infrastructure behind AI cost governance, including spend caps, attribution, enforcement, and alerting.
Support the registry, eval, and marketplace platform for engineers publishing and consuming skills, plugins, and MCP servers.
Partner with Security on model and data access control, prompt injection exposure, and connector supply chain review.
Work across a DevOps org spread over three regions, pairing with other engineers.

Requirements

5+ years in DevOps, Platform Engineering or SRE, with production Kubernetes ownership and software engineering habits.
Hands-on experience managing and scaling AI infrastructure in production, including operating developer AI tools, model routing/gateway platforms, or LLM observability stacks at organizational scale.
Deep knowledge in OAuth 2.0/2.1, OIDC and JWT, including token exchange, scope design, claim propagation, and federation.
Production experience with a gateway, proxy, or service mesh (Envoy or equivalent), with the ability to debug a misbehaving control plane.
A track record of taking infrastructure from prototype to GA, including setting SLOs, building failover, writing runbooks, and carrying the pager.
Collaboration skills to work effectively within an opinionated, distributed engineering group.

Skills

Envoy Gateway
Keycloak
Okta
Terraform
ArgoCD
Helm
Vault
Kafka
Redis
Prometheus
Grafana
Alloy
Langfuse
LangSmith
GitLab CI
Python
Go
OAuth 2.0/2.1
OIDC
JWT
Kubernetes
LLM observability tooling
OTEL GenAI conventions
Cost attribution
Chargeback
Zero-trust access platforms
Secrets management

Location

New York City

Work Type

Full-time
Hybrid

Experience Level

5+ years

Salary/Compensations

$153,000 - $260,000

Benefits

Bonus/commission (as applicable)
Equity
Benefits

About the Company

DV is the leader in digital performance solutions, helping advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics.
DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms.
Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry.
Learn more at www.doubleverify.com.

Equal Opportunity

Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!