Senior SRE: Multi-Cloud Reliability & Automation

Drivetrain; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Drivetrain is seeking a Senior Site Reliability Engineer to own multi-cloud infrastructure, drive automation, and champion observability for a fast-growing SaaS platform. You will collaborate with development teams to build reliability from code commit to production in a remote-friendly, security-conscious environment.

Responsibilities include managing Kubernetes clusters across AWS and GCP, building robust CI/CD pipelines, and implementing IaC with Terraform and automation with Python.

Qualifications

• 5+ years of hands-on experience in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles.
• Proficiency in AWS and GCP multi-cloud architectures.
• Expertise with Docker and Kubernetes, including deployment strategies.
• Strong Python scripting and Terraform IaC experience.
• Hands-on observability using Prometheus, Grafana, and ELK/EFK stacks.
• Solid networking knowledge (VPCs, load balancers) and zero-trust security principles.

Responsibilities

• Cloud infrastructure across AWS and GCP, ensuring high availability and security.
• Design, deploy, and manage scalable Kubernetes clusters; enforce standardized configurations.
• Build and maintain robust CI/CD pipelines with Jenkins and Git workflows.
• Develop IaC with Terraform; automate operational tasks with Python scripts.
• Own monitoring, incident response, and postmortems; define SLOs/SLAs and improve reliability.

Skills

SRE/DevOps experience

Python scripting

Cloud architecture

Incident management

Security best practices

Tools

Docker

Kubernetes

Terraform

Jenkins

Prometheus

Grafana

ELK/EFK

AWS

GCP

Job description

Drivetrain is seeking a Senior Site Reliability Engineer to own multi-cloud infrastructure, drive automation, and champion observability for a fast-growing SaaS platform. You will collaborate with development teams to build reliability from code commit to production in a remote-friendly, security-conscious environment.

Responsibilities include managing Kubernetes clusters across AWS and GCP, building robust CI/CD pipelines, and implementing IaC with Terraform and automation with Python.