Site Reliability Engineer

Jobtailor; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a Cloud Reliability Engineer to maintain SLOs for cloud-hosted systems and design automation across AWS and Azure. You will collaborate with development teams to improve reliability, observability, and release velocity while participating in on-call rotations and postmortems.

The role emphasizes IaC using Terraform, containerized workloads with Docker and Kubernetes, and robust CI/CD pipelines.

Qualifications

• Bachelor's degree or equivalent experience in Computer Science or related field.
• Proficiency in scripting languages (Shell, Python).
• Experience maintaining Infrastructure as Code (IaC) using Terraform (or AWS CloudFormation, Azure ARM templates).
• Hands-on experience with AWS services (EC2, S3, RDS, IAM, VPC, Lambda) and familiarity with Azure equivalents.
• Knowledge of Docker and Kubernetes (EKS or AKS preferred).
• Familiarity with observability tools like Datadog, AWS CloudWatch, or Azure Monitor.
• Implement and maintain CI/CD pipelines (AWS CodePipeline, Azure DevOps, or similar).
• Incident response and blameless postmortems.
• Proficient in Git workflows.
• 2-5 years of proven experience.

Responsibilities

• Maintain SLOs for cloud-hosted systems with automation, reliability, and observability across AWS and Azure.
• Design and implement automation for AWS and Azure to scale systems sustainably and enable rapid recovery.
• Partner with development teams to improve reliability and release velocity using cloud-native tools and guidelines.
• Participate in on-call rotations, incident response, postmortems, and root cause analysis.
• Advocate for strong engineering practices for building, deploying, and running scalable services across AWS and Azure.
• Enable cloud migration by conducting architectural reviews and readiness testing, and configuring observability dashboards.
• Drive continuous learning and development in multi-cloud technologies.

Skills

Shell scripting

Python

Git workflows

Education

Bachelor's degree or equivalent in CS or related field

Tools

Terraform

AWS CloudFormation

Azure ARM templates

Datadog

AWS CloudWatch

Azure Monitor

AWS CodePipeline

Azure DevOps

Docker

Kubernetes (EKS/AKS)

Job description

• Maintain Service Level Objectives (SLOs) for cloud-hosted systems, continuously measuring and improving availability, latency, and overall system health.
• Design and implement automation for AWS and Azure environments to scale systems sustainably, prevent service issues, and enable rapid recovery.
• Partner with development teams to improve reliability, observability, and release velocity using cloud-native tools and guidelines.
• Participate in on-call rotations, incident response, postmortems, and root cause analysis.
• Advocate for strong engineering practices for building, deploying, and running scalable, reliable services across AWS and Azure.
• Enable cloud migration by performing architectural reviews, operational readiness testing, and configuring observability dashboards (e.g., Datadog integrated with AWS CloudWatch and Azure Monitor).
• Drive continuous learning and development in multi-cloud technologies.

Requirements

• Bachelor's degree or equivalent experience in Computer Science or related technical field.
• Proficiency in scripting languages (Shell, Python).
• Experience maintaining Infrastructure as Code (IaC) using Terraform (or AWS CloudFormation, Azure ARM templates).
• Hands‑on experience with AWS services (EC2, S3, RDS, IAM, VPC, Lambda) and familiarity with Azure equivalents.
• Knowledge of Docker and Kubernetes (EKS or AKS preferred).
• Familiarity with observability tools like Datadog, AWS CloudWatch, or Azure Monitor.
• Implement and maintain CI/CD pipelines (AWS CodePipeline, Azure DevOps, or similar).
• Incident response and blameless postmortems.
• Proficient in Git workflows.
• 2-5 years of proven experience.

Core Competencies

Demonstrates expertise in maintaining Service Level Objectives (SLOs) for cloud-hosted systems, with a strong focus on automation, reliability, and observability across AWS and Azure environments. Proficient in Infrastructure as Code (IaC) practices and incident response methodologies to ensure scalable and reliable service delivery.

Highest-signal resume keywords

• AWS Services (EC2, S3, RDS, IAM, VPC, Lambda)
• Infrastructure as Code (IaC) Using Terraform
• Scripting Languages (Shell, Python)
• CI/CD Pipeline Implementation (AWS CodePipeline, Azure DevOps)
• Docker and Kubernetes (EKS or AKS)

ATS Optimization Keywords

Hard Skills

• AWS Services
• Azure Services
• Infrastructure as Code (IaC)
• Scripting Languages
• CI/CD Pipelines
• Docker
• Kubernetes
• Git Workflows
• Observability Tools
• Incident Response

Soft Skills

• Collaboration
• Problem-Solving
• Continuous Learning

Industry Keywords

• Service Level Objectives (SLOs)
• Cloud Migration
• Operational Readiness Testing
• Postmortems
• Root Cause Analysis

Tools & Technologies

• Terraform
• AWS CloudFormation
• Azure ARM Templates
• Datadog
• AWS CloudWatch
• Azure Monitor