Senior Site Reliability Engineer Job New York New York USA,IT/Tech

Location: New York

Requirements

4+ years in Site Reliability Engineering, Dev Ops, 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
Deep understanding of networking, DNS, load balancing, and CDN technologies
Familiarity with databases (SQL, No

SQL, Vertica, Mongo

DB, Snowflake) and data pipeline technologies
Knowledge of CI/CD pipelines, Git Lab, and deployment automation
Experience with workflow automation platforms is a strong plus
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
(Desirable) Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
(Desirable) Industry certifications such as
(Desirable) AWS Certified Dev Ops Engineer
(Desirable) Google Professional Cloud Dev Ops Engineer
(Desirable) Certified Kubernetes Administrator (CKA), or Terraform/Grafana certifications
(Desirable) Experience with AI-assisted development using tools like ChatGPT, Cursor, Glean, or Copilot
(Desirable) Familiarity with security best practices in cloud and containerized environments
If you think you have what it takes but you’re not sure that you check every box, apply anyway!

What the job involves

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

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