Site Reliability Engineer (SRE)

Robotics Technologies; Plano (TX); On-site; USD 98,000 - 139,000; Full time

Job summary

Robotics Technologies LLC in Plano, TX is seeking a Site Reliability Engineer (SRE) for a 12‑month engagement with potential extension. You will design and operate monitoring, observability, and incident-management capabilities to keep services highly available.

Required skills include AWS, Kubernetes, Docker, and CI/CD, plus strong production-support and scripting in Python/Go. The role offers flexible collaboration with development teams and cloud-native optimization.

Qualifications

• Experience with observability and monitoring tools.
• Strong troubleshooting and production-support skills.
• Ability to design scalable cloud-native reliability solutions.

Responsibilities

• Design, implement, and manage monitoring and observability solutions using Datadog.
• Build dashboards, alerts, metrics, logs, and tracing to monitor performance and reliability.
• Leverage APM tools to identify bottlenecks and troubleshoot production issues.
• Develop automation scripts using Python, Go, or Java.
• Establish SLI/SLO metrics and drive incident management.
• Collaborate with development teams to improve reliability and scalability.
• Optimize monitoring and observability practices across cloud-native environments.

Skills

Observability tools

APM monitoring

AWS

Kubernetes

Docker

CI/CD

Python

Go

Tools

Datadog

Grafana

Prometheus

Jenkins

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Site Reliability Engineer (SRE)
Location: Plano, TX
Duration: 12 Months + Extension
Bill Rate: $86/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Key Responsibilities:

• Design, implement, and manage monitoring and observability solutions using Datadog.
• Build dashboards, alerts, metrics, logs, and distributed tracing to monitor application performance and reliability.
• Leverage APM tools to identify bottlenecks, troubleshoot production issues, and improve system performance.
• Develop automation scripts and tools using Python, Java, Go, or similar programming languages.
• Establish SLI/SLO metrics, conduct root cause analysis, and drive incident management.
• Collaborate with development teams to improve application reliability, scalability, and performance.
• Optimize monitoring, alerting, and observability practices across cloud-native environments.

Required Skills:

• Experience with observability tools, APM, logging, and monitoring.
• Knowledge of AWS/Azure, Kubernetes, Docker, and CI/CD.
• Strong troubleshooting and production support experience.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.