Hybrid (3 days per week in office) What You'll Do- Build and maintain the reliability, scalability, and performance of our digital media measurement platforms
- Implement observability best practices, including metrics collection, dashboarding, and alerting strategies that support proactive reliability improvements
- Reduce MTTR for critical incidents through automation, improved observability, and proactive monitoring
- Respond to incidents and drive them to resolution, managing Sev1/Sev2 situations
- Monitor and maintain high availability infrastructure and services across GCP, AWS, OCI, and on-premises environments
- Lead technical projects from planning through deployment, ensuring proper stakeholder communication and team enablement.
- Build and deploy automations to eliminate operational toil and improve efficiency across deployment workflows, validation scripts, and self-service capabilities
- 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 Infrastructure-as-Code using Terraform, Helm charts, Python and 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
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 infrastructure and services across GCP, AWS, and OCI, as well as container orchestration tools like Kubernetes
- Expertise in monitoring and observability tools such as Prometheus, Grafana, Splunk, 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 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 $89,000.00 - $178,000.00. 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!
