DoubleVerify
Website:
doubleverify.com
Job details:
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 www.doubleverify.com.
About The Role
Role Overview
You will join the Site Reliability Engineering (SRE) team within DoubleVerify's Technology organization. The team is responsible for building and maintaining the reliability, scalability, and performance of DV's digital media measurement platforms, which run across GCP, AWS, and on-premises environments. As a Sr. Site Reliability Engineer I, you'll be a hands-on technical contributor driving automation, observability, and operational excellence across the platforms that power DV's product suite.
What You’ll Do
- Build and maintain the reliability, scalability, and performance of DV's digital media measurement platforms.
- Leverage AI-assisted development tools to accelerate automation development and problem resolution.
- Build custom integrations and MCP servers for monitoring platforms to enable programmatic access and AI-driven analysis.
- Implement observability best practices, including metrics collection, dashboarding, and alerting strategies that support proactive reliability improvements.
- Monitor and maintain high-availability infrastructure and services across GCP, AWS, and on-premises environments.
- Respond to incidents and drive them to resolution, managing Sev1/Sev2 situations.
- Reduce MTTR (mean time to resolution) for critical incidents through automation, improved observability, and proactive monitoring.
- Build and deploy automations to eliminate operational toil and improve efficiency across deployment workflows, validation scripts, and self-service capabilities.
- Implement Infrastructure-as-Code using Terraform, Helm charts, Python scripts, and configuration management tools to ensure repeatable, version-controlled infrastructure deployments.
- Develop production automations for routine operational tasks, reducing manual intervention and accelerating task completion.
- Create and maintain documentation, runbooks, and SOPs in Confluence to ensure consistent incident response across the team.
- Participate in on-call rotations and post-incident reviews to minimize downtime and prevent recurrence.
- Lead technical projects from planning through deployment, ensuring proper stakeholder communication and team enablement.
About You
Required Experience & Skills
- 4+ years in Site Reliability Engineering, DevOps, or related operational roles, with proven experience in Linux/Unix systems administration.
- Proficiency in scripting and programming languages such as Python, Bash, or Go for automation and tool development.
- Strong experience with cloud platforms and container orchestration tools like Kubernetes.
- Expertise in monitoring and observability tools such as Prometheus, Grafana, Splunk, or Nagios.
- Hands-on experience with Infrastructure-as-Code tools like Terraform, Ansible, or Helm.
- Proven ability to develop and track SLIs, SLOs, and SLAs to drive reliability improvements.
Technical Knowledge
- Deep understanding of networking, DNS, load balancing, and CDN technologies.
- Familiarity with databases (SQL, NoSQL, Vertica, MongoDB, Snowflake) and data pipeline technologies.
- Knowledge of CI/CD pipelines, GitLab, and deployment automation.
- Experience with workflow automation platforms is a strong plus.
Soft Skills & Mindset
- Exceptional communication skills with the ability to collaborate across teams and explain technical concepts clearly.
- Proactive problem-solving approach with a focus on automation and continuous improvement.
- Ownership mentality — you take full responsibility for complex challenges and reliably deliver outcomes.
- Trailblazing spirit — innovative use of AI, automation, and new technologies to solve problems and drive improvements.
- Passion for mentorship and knowledge sharing, elevating the capabilities of the entire team.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Industry certifications such as AWS Certified DevOps Engineer, Google Professional Cloud DevOps Engineer, Certified Kubernetes Administrator (CKA), or Terraform/Grafana certifications.
- Experience with AI-assisted development using tools like ChatGPT, Cursor, Glean, or Copilot.
- Familiarity with security best practices in cloud and containerized environments.
The successful candidate’s starting salary will be determined by a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and 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 $104,000 $178,000. 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 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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