Senior Site Reliability Automation Engineer

Jobtailor; Colorado; On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor is seeking an experienced engineer to design and implement automated reliability solutions for production systems in a distributed SaaS environment. The role emphasizes reducing manual toil through automation and advanced observability.

You will work across AWS/Azure stacks, CI/CD pipelines, and deployment workflows to improve system health, performance, and operability, while employing AI-driven approaches to optimize knowledge management and troubleshooting.

Qualifications

• 7+ years of experience in Software Engineering, Test Automation, Site Reliability Engineering, Production Engineering, Platform Engineering, DevOps, Performance Engineering, or related technical discipline.
• Proven software development experience in Python, PowerShell, TypeScript, JavaScript, Java, or C#.
• Experience troubleshooting complex production issues in large-scale, distributed, or SaaS environments.
• Experience conducting root cause analysis and implementing long-term remediation solutions.
• Experience building automation tools, operational workflows, reliability tooling, or engineering platforms.
• Experience with CI/CD pipelines, deployment automation, release processes, and AWS and/or Azure environments.

Responsibilities

• Build automation solutions that reduce manual operational work and improve scalability, reliability, and consistency of production environments.
• Develop intelligent diagnostics, remediation workflows, and self-service tools for faster issue resolution by Engineering and Support teams.
• Investigate complex production issues to identify root causes and drive long-term reliability improvements.
• Enhance monitoring, alerting, dashboards, and telemetry to improve visibility into system health and risk.
• Partner with Engineering teams to improve observability, operational readiness, platform stability, and production support practices.
• Support performance and scalability initiatives by identifying degradation trends and diagnosing bottlenecks.
• Build and integrate reliability automation across AWS, Azure, CI/CD pipelines, deployment workflows, and cloud-native environments.
• Leverage AI-enabled tools and emerging technologies to improve troubleshooting and engineering efficiency.

Skills

Python

PowerShell

TypeScript

JavaScript

Java

C#

SRE

DevOps

CI/CD

Cloud (AWS/Azure)

Tools

CI/CD tools

AWS

Azure

Job description

Responsibilities

• Build automation solutions that reduce manual operational work and improve the scalability, reliability, and consistency of production environments.
• Develop intelligent diagnostics, remediation workflows, and self-service tools that enable Engineering and Support teams to resolve issues faster.
• Strengthen incident response by investigating complex production issues, identifying root causes, and driving long-term reliability improvements.
• Enhance monitoring, alerting, dashboards, and telemetry to improve visibility into system health, performance, and operational risk.
• Partner with Engineering teams to improve observability standards, operational readiness, platform stability, and production support practices.
• Support performance and scalability initiatives by identifying degradation trends, diagnosing bottlenecks, and recommending optimization strategies.
• Build and integrate reliability automation across AWS, Azure, CI/CD pipelines, deployment workflows, and cloud-native platform environments.
• Leverage AI-enabled tools and emerging technologies to improve troubleshooting, knowledge management, operational workflows, and engineering efficiency.

Requirements

• 7+ years of experience in Software Engineering, Test Automation, Site Reliability Engineering, Production Engineering, Platform Engineering, DevOps, Performance Engineering, or a related technical discipline.
• Strong software development experience using Python, PowerShell, TypeScript, JavaScript, Java, C#, or similar programming languages.
• Experience troubleshooting complex production issues in large-scale, distributed, or SaaS environments.
• Experience conducting root cause analysis and implementing long-term remediation solutions.
• Experience building automation tools, operational workflows, reliability tooling, or engineering platforms.
• Experience with CI/CD pipelines, deployment automation, release processes, and AWS and/or Microsoft Azure environments.