Site Reliability Engineer

WTS Paradigm LLC

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience.
  • 0-4 years of production experience in Azure or any major cloud platform is preferred.
  • Familiarity with SLOs, incident management, and reliability engineering practices.
  • Proficient with Infrastructure as Code tools like Terraform/Ansible and scripting languages such as Python/Bash/PowerShell.
  • Experience with monitoring/observability platforms like Datadog or similar.

Responsibilities

  • Contribute to defining and refining SLOs, SLIs, and error budgets.
  • Implement infrastructure automation to reduce operational toil using IaC, scripting, and CI/CD pipelines.
  • Build and maintain observability tooling for metrics, logs, tracing, and alerting.
  • Identify issues and enhance system scalability, performance, and resilience.
  • Participate in incident response and conduct blameless postmortems.
  • Optimize AWS and/or Azure cloud environments for reliability and cost efficiency.

Benefits

  • Company fosters a strong culture of reliability and engineering excellence.
  • Opportunities for professional development and growth in cloud technologies.
Full Job Description
We9re seeking a Site Reliability Engineer to support the reliability, scalability, and performance of our cloud platforms. This role blends software engineering and systems engineering to build and maintain highly available, scalable, and resilient systems.

The engineer will apply SLO-driven practices, contribute to automation-focused operations, and support ongoing reliability improvements. These efforts will contribute to a strong culture of reliability, automation, and engineering excellence to build systems that scale confidently and recover gracefully.

What You Will Do:
 Contribute to defining and refining SLOs, SLIs, and error budgets.
 Implement infrastructure automation and reduce operational toil using IaC, scripting, and CI/CD pipelines.
 Build and maintain observability tooling (metrics, logs, tracing, alerting).
 Identify issues and implement changes that enhance system scalability, performance, and resilience.
 Contribute to incident response and blameless postmortems.
 Support the optimization of AWS and/or Azure cloud environments for reliability and cost efficiency.

What You Need to Succeed:
 Bachelor9s degree in Computer Science, Software Engineering, or related field or equivalent experience.
 0-4 years of production experience in Azure and/or any major cloud platform is preferred.
 Familiarity with SLOs, incident management, and reliability engineering practices.
 Proficient with Infrastructure as Code tools (Terraform/Ansible) and scripting languages (Python/Bash/PowerShell).
 Experience with monitoring/observability platforms (e.g., Datadog or similar).

Beneficial Skills and Knowledge:
 Experience with Docker and Kubernetes.
 Knowledge of CI/CD pipelines (Jenkins, Git-based workflows).
 Linux/Windows administration skills.
 Experience with cloud cost optimization and performance testing.

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