Site Reliability Engineer

1 нед. назад

СШАHybrid

cloud infrastructureci/cdobservabilitygithub actionsargocdkubernetes

Site Reliability Engineer role focused on cloud infrastructure, CI/CD, observability, and scalable solutions.

As a Site Reliability Engineer at , you’ll join our Engineering team and grow your skills in cloud infrastructure, CI/CD, Observability, and core SRE concepts, helping deliver high-quality, reliable, and scalable solutions. You’ll work closely with the rest of ’s Engineering and Data Science teams, ensuring the infrastructure behind our services is robust, efficient, and scalable.
We are looking for a passionate engineer to come collaborate and grow alongside our experienced SRE team. You bring curiosity, a strong work ethic, and a passion for continuous improvement and automation.
Support and build systems and tools that enable other engineers to deploy and manage product features both quickly and safely.
Help deploy and support our multi-cloud, micro-service architecture, deployed via Github Actions, ArgoCD & Kubernetes.
Write and maintain Infrastructure as Code with Terraform and Terragrunt, contributing changes through pull requests and code review.
Build and improve CI/CD pipelines and release workflows.
Help maintain the health of production environments, including monitoring application performance and resource utilization.
Participate in 24/7 on-call rotation, responding to system performance issues and outages alongside senior teammates.
Debug issues at the application and infrastructure level.
Write and maintain clear documentation and runbooks.
Contribute to our DevOps culture and philosophy of continuous improvement.

1-3 years of experience supporting Cloud Infrastructure in a production environment using AWS and/or GCP
Hands-on experience with containers and Kubernetes
Competency in Python and shell scripting
Strong problem-solving skills
Strong written and verbal communication, organization, and documentation skills

Familiarity with modern CI/CD pipelines and GitOps (Github Actions, GitLab, Argo CD)
Exposure to Monitoring and Observability tools (Prometheus, Grafana, Chronosphere, Datadog, OpenTelemetry)
Experience collaborating across departments to execute complex, high-impact projects.

Flexible PTO
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
13 paid holidays off
Summer Fridays (we leave early)
In-office and hybrid work options available
In-office lunches and lots of free food
Optional in-person and virtual events (we like to celebrate!)
The anticipated salary for this position is between $100,000 and $130,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.

is the leader in AI-powered content classifications for brands and advertisers. ’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.
Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, is redefining what trust and transparency means for social media in the age of AI.
Cloud Providers: Google Cloud Platform (primary), Amazon Web Services
Infrastructure as Code (IaC): Terraform, Terragrunt
Containerization & Orchestration: Docker, Kubernetes (GKE)
CI/CD: GitHub Actions, Argo CD
Primary Language: Python
Observability: Prometheus, OpenTelemetry, Chronosphere, Pagerduty
Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React
Workflow Orchestration: Apache Airflow, Ray
Relational Databases: PostgreSQL
NoSQL Databases: DynamoDB
Search Databases: OpenSearch
Data Warehousing: Snowflake