Staff Site Reliability Engineer

Description

• Automation and Efficiency: Automate repetitive tasks across deployment pipelines, monitoring, alerting, and scaling to reduce manual effort and improve reliability.
• Monitoring & Observability: Build and maintain robust observability systems. Standardize applications that no longer meet our current monitoring best practices. Define and monitor SLAs, SLOs, and other key service health metrics, ensuring teams have the necessary tools to meet operational goals. Manage and optimize cloud costs to ensure they remain in check.
• Incident Response and Support: Champion the incident response process, provide guidance to teams on post-mortems, and foster a blameless culture that emphasizes learning. Provide supplementary on-call support to engineering teams and help maintain a stable, customer-facing platform.
• Cross-functional Collaboration: Collaborate with engineering, IT, and security teams to meet our reliability, compliance, and operational goals. Serve as a subject matter expert for cloud technologies, CI/CD processes, and DevOps best practices.
• Infrastructure Ownership: Take full responsibility for the design, implementation, and operation of cloud infrastructure (GCP and AWS), ensuring the system is resilient, secure, and optimized.

Requirements

• Thorough knowledge of CI/CD systems (GitHub Actions).
• Knowledge of log aggregation and monitoring best practices and how to reduce cost without reducing insights into business applications.
• Familiarity with Javascript build tools and package managers like npm, Yarn, etc.
• Familiarity with modern authentication and authorization patterns (e.g., OAuth, SAML, Auth0).
• Ability to assist teams with defining and monitoring SLOs and service health metrics.
• Expertise with Linux systems administration and scripting (e.g., Bash, Python).
• In-depth knowledge of DNS, TLS/SSL, CDNs, Load Balancing, and network security.
• Experience supporting containerized microservices in a high-traffic environment.
• 5+ years of experience managing infrastructure on GCP, or AWS.
• Deep expertise with Kubernetes and Docker.
• Experience with data-intensive applications, data engineering workflows, and MLOps practices.
• Strong proficiency in one or more programming languages with a high required knowledge of JavaScript/TypeScript
• Strong Experience with Datadog and its tooling beyond simple application logs and traces.

Benefits

• Ownership: As an early hire on the SRE/Devops team, you’ll have a high degree of autonomy and the chance to lead strategic initiatives around infrastructure and reliability.
• Impact: Be the go-to person for all infrastructure and DevOps-related responsibilities, with the opportunity to make significant improvements across systems.

Training + Development

Interview process

Visa Sponsorship

Security clearance