Senior AI Engineer at DoubleVerify

**Who this is for** A senior-level engineer with a strong software development background who wants to focus on building the infrastructure needed to deploy AI

Work type: hybrid

Location: NYC Global HQ

Salary: $73,500 – $213,000/yr

Type: Full-time

Summary

**Who this is for** A senior-level engineer with a strong software development background who wants to focus on building the infrastructure needed to deploy AI agents at massive scale. **Key highlights** This role focuses on modern infrastructure engineering, where you will architect Kubernetes platforms and CI/CD workflows to support AI development using tools like LangChain and Agent Development Kits. **You might be a good fit if you...** - Have 5+ years in platform/DevOps engineering and 3+ years managing production Kubernetes environments. - Are highly proficient in Python, Go, or TypeScript and prefer building tools over manual configuration. - Possess deep experience with cloud providers like GCP or AWS and an observability-first mindset. - Enjoy collaborating with developers to improve infrastructure standards and ease of maintenance.

Job Description

Technology Operations | Hybrid (3 days in office, flexible scheduling)Who we are

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 atwww.doubleverify.com.

The Opportunity

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.What You'll Achieve

Pioneer AI Infrastructure

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

Own Critical Platforms

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

Elevate Engineering Excellence

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

Shape Technical Standards

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

What You'll Bring

Required:

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 Have:

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

Beyond the Resume:

You're a strong collaborator who can translate technical concepts for non-technical stakeholders and work effectively across teams

You have genuine curiosity about improving developer experience—you ask "how can we make this easier?" not "that's not my job"

You bring initiative and autonomy—when you see a problem, you propose solutions

Our Tech Stack

Cloud: GCP (primary), AWS, Oracle Cloud (emerging)

Orchestration: Kubernetes (GKE, Rancher), ArgoCD, Helm

AI/ML: LangChain, OpenAI Agents SDK, Google ADK, n8n

Observability: Prometheus, Grafana, Datadog

CI/CD: GitLab CI/CD, GitHub Actions

IaC: Terraform, Ansible

Languages: Python, Go, Bash, TypeScript

Why TechOps at DoubleVerify?Real Innovation:We're not just keeping the lights on—you'll work on bleeding-edge AI infrastructure that doesn't have a playbook yet. Your work directly influences how Fortune 500 companies verify billions of dollars in digital media spend.

Autonomy & Ownership:Senior engineers own entire platforms and make architectural decisions. We trust you to define solutions, not just implement tickets.

Collaborative Culture:You'll work with a global team across US, Israel, and Europe, learning from diverse perspectives while mentoring others.

Growth Path: Clear progression to Staff/Principal Engineer or Engineering Management, with opportunities to shape technical direction and speak at industry conferences.

Modern Work Environment:

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.)

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. The estimated salary range for this role, based on the qualifications set forth in the job description, is between $73,500- $213,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: [Research](https://urldefense.com/v3/__https://hbr.org/2014/08/why-women-dont-apply-for-jobs-unless-theyre-100-qualified__;!!P6nVbRxDCw3cNFlf!EJszlPs7CwYzNT-NJOg9EZZm8SLk_u9r0_XmHjJQZBRBzKMxMlLzRyQb5e9Gb6uO0F2xTBQvUt-QaHkxF-J6DnOrpLeuZQc$) 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!

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