Sr. Site Reliability Engineer I

Sr. Site Reliability Engineer I

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.

Your responsibilities will include:

• Building and maintaining the reliability, scalability, and performance of DV's digital media measurement platforms.
• Leveraging AI-assisted development tools to accelerate automation development and problem resolution.
• Building custom integrations and MCP servers for monitoring platforms to enable programmatic access and AI-driven analysis.
• Implementing observability best practices, including metrics collection, dashboarding, and alerting strategies that support proactive reliability improvements.
• Monitoring and maintaining high-availability infrastructure and services across GCP, AWS, and on-premises environments.
• Responding to incidents and driving them to resolution, managing Sev1/Sev2 situations.
• Reducing MTTR (mean time to resolution) for critical incidents through automation, improved observability, and proactive monitoring.
• Building and deploying automations to eliminate operational toil and improve efficiency across deployment workflows, validation scripts, and self-service capabilities.
• Implementing Infrastructure-as-Code using Terraform, Helm charts, Python scripts, and configuration management tools to ensure repeatable, version-controlled infrastructure deployments.
• Developing production automations for routine operational tasks, reducing manual intervention and accelerating task completion.
• Creating and maintaining documentation, runbooks, and SOPs in Confluence to ensure consistent incident response across the team.
• Participating in on-call rotations and post-incident reviews to minimize downtime and prevent recurrence.
• Leading technical projects from planning through deployment, ensuring proper stakeholder communication and team enablement.

Required experience and skills include:

• 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 includes:

• 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 and mindset include:

• 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 include:

• 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 and $178,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.

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!