Senior AI Engineer
About The Position
DoubleVerify is the leading independent provider of marketing measurement software, data, and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. 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 ecosystem, helping to build a better industry. Learn more at www.doubleverify.com. We're building the infrastructure backbone for the next generation of AI-powered advertising verification that processes billions of impressions daily from the world's largest social media platforms. As a Senior DevOps Engineer on our US Hub team in NYC, you'll be at the intersection of platform engineering and artificial intelligence, pioneering what doesn't exist yet. This isn't a traditional DevOps role—we need someone who thinks like a software engineer first and brings that mindset to infrastructure. You'll own critical platforms, architect novel solutions for AI agent deployment (LangChain, ADK), and work across multiple engineering teams to define standards that impact hundreds of developers. If you want to build the future rather than just maintain the present, this is your opportunity.
Requirements
- 5+ years in DevOps/Platform Engineering roles with significant software development (we need engineers who write code, not just YAML)
- 3+ years owning and operating production Kubernetes platforms (cloud or on-prem)
- Strong programming skills in at least one of: Python, Go, or TypeScript - you should be comfortable building microservices and automation tooling
- Cloud platform expertise in GCP or AWS (multi-cloud experience is a plus)
- Observability mindset - you naturally think about metrics, logging, tracing, and use data to drive decisions
- Builder mentality - you're energized by creating systems that encourage automation, observability, and ease of maintenance
Nice To Haves
- Experience developing AI workloads using frameworks like LangChain, CrewAI, or Google Agent Development Kit
- Background in site reliability engineering (SRE) practices
- Contributions to open-source DevOps tooling
- Experience with Terraform, ArgoCD, or infrastructure-as-code at scale
Responsibilities
- Design and build the foundational infrastructure for deploying AI agents at scale, working with emerging technologies like LangChain and Agent Development Kit to create capabilities that don't yet exist in the market
- Partner directly with AI/ML teams to enable rapid deployment of agentic solutions, turning research into production systems
- Architect, deploy, and operate our Kubernetes platform across cloud (GCP/AWS) and data center environments, ensuring 99.9%+ uptime for systems processing billions of daily transactions
- Build the tooling and automation that makes complex systems simple for 100+ developers
- Create operators, microservices, and management tools that shape how engineers across DV interact with infrastructure
- Drive CI/CD evolution, building self-service capabilities that empower teams while maintaining security and reliability
- Influence product design from the ground up, ensuring new features integrate seamlessly with DV's infrastructure
- Work across multidisciplinary DevOps teams to establish patterns that scale across the organization
Benefits
- Hybrid flexibility (3 days in NYC office, flexible scheduling)
- Strong remote collaboration tools and practices
- Learning budget for certifications, conferences, and courses
- Access to cutting-edge AI tools (Cursor, GitHub Copilot, etc.)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
