Sr. DevOps Engineer II, AI Platforms

## Sr. Dev Ops Engineer II, AI Platforms Apply:
Hybrid:
NYC Global HQ:
Full time:
Posted 3 Days Ago:
JR#
** Who We Are
** DV is the leader in digital performance solutions, helping our 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  
** About the Role
** Over the past year, DV built an AI platform e than 800 people now use Claude and Cursor daily against an MCP gateway that fronts 30+ internal tool backends, a gateway for model traffic, a registry where engineers publish skills and plugins, and a tracing pipeline running off every laptop. It was built by a strong, opinionated group of engineers who continue to drive it forward, and it is already in wide production use.

This is the first role at DV dedicated entirely to that platform. You'll join the engineers building it today with AI infrastructure as your full focus, which means 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. Plenty is still ahead of us: group-based authorization across the gateway, a consolidated multi-region model gateway with real failover, and cost attribution that teams can act on.## What You Will Do
* Run and harden the MCP gateway day to day. It runs on Envoy Gateway on GKE, secured by Keycloak, serving 30+ backends to Claude Code, Cursor and Claude Desktop across the company, plus an externally reachable gateway. You'll be one of the first responders when it breaks.
* Take the lead on closing the authorization gap: group-based access from JWT claims, per-tool RBAC, and scoped OAuth consent in place of the static user lists and broad scopes we run on today.
* Help consolidate the model gateway estate onto one supported deployment and drive it to GA, with multi-region, health-checked failover and coverage beyond a single client.
* Push AI observability to GA with the team. Finish the trace pipeline, extend it across tools, and give teams per-session, per-user and per-department cost and latency numbers they can trust.
* Build out the infrastructure behind AI cost governance: spend caps that reflect real dollars rather than raw tokens, plus attribution, enforcement and alerting.
* Support the registry, eval and marketplace platform that lets engineers publish and consume skills, plugins and MCP servers safely, and partner with Security on model and data access control, prompt injection exposure and connector supply chain review.
* Work across a Dev Ops org spread over three regions, pairing with the engineers who built each piece.#
** Who You Are**## ##

Required Qualifications
* 5+ years in Dev Ops, Platform Engineering or SRE, with production Kubernetes ownership and the software engineering habits to go with it.
* Hands-on experience managing and scaling AI infrastructure in production:
Demonstrated track record operating developer AI tools, model routing/gateway platforms, or LLM observability stacks at organizational scale.
* Real depth in OAuth 2.0/2.1, OIDC and JWT: token exchange, scope design, claim propagation, and federation between an IdP, an authorization server and a proxy. Some of the hardest…