Senior Site Reliability Engineer – AI-First Cloud

Socket.dev; Vancouver; Hybrid; CAD 115,000 - 145,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

Cover Genius is seeking a Site Reliability Engineer to lead reliability and infrastructure initiatives across multiple teams. You’ll shape system design, tooling, and processes to operate at scale, with emphasis on cloud infrastructure, IaC, observability, and security.

You’ll work with AWS/GCP, Docker, Kubernetes, and AI-assisted development tools to reduce operational risk and improve product reliability while collaborating with security and software teams to deliver robust, scalable platforms.

Qualifications

• 3+ years of experience in SRE/Platform Eng/DevOps.
• Strong SRE and platform engineering principles.
• Experience with modern observability tools (Datadog, Elasticsearch, Prometheus, Grafana).
• Experience with Docker and Kubernetes in production.
• Terraform for IaC and cloud automation.
• Scripting in Bash and at least one language (Python/Go).
• AI-driven development environments integration into pipelines.
• Linux proficiency and strong networking knowledge.
• AWS and/or GCP experience; Bachelor's degree in CS/Engineering.

Responsibilities

• Analyze, test, and evolve systems for reliability and performance.
• Architect and build cloud infrastructure across products.
• Implement observability standards and tooling.
• Lead incident response and blameless postmortems.
• Reduce toil with automation and self-service tooling.
• Develop runbooks and design standards for teams.

Skills

SRE/Platform Eng

Observability tools

AWS/GCP

Docker

Kubernetes

Terraform

Scripting (Bash)

Python/Go

AI tools for development

Linux

Networking & distributed systems

Education

Bachelor's degree in CS/Engineering

Tools

Datadog

Elasticsearch

Prometheus

Grafana

Job description

Cover Genius is seeking a Site Reliability Engineer to lead reliability and infrastructure initiatives across multiple teams. You’ll shape system design, tooling, and processes to operate at scale, with emphasis on cloud infrastructure, IaC, observability, and security.

You’ll work with AWS/GCP, Docker, Kubernetes, and AI-assisted development tools to reduce operational risk and improve product reliability while collaborating with security and software teams to deliver robust, scalable platforms.