Java SRE Telemetry Engineer for Observability & Reliability

Machine Learning Technologies, LLC; Dallas (TX); On-site; USD 96,000 - 124,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a Java SRE Telemetry Engineer in Dallas to design, develop, and support observability and telemetry solutions for large-scale enterprise applications. The role emphasizes Java development, SRE practices, monitoring, telemetry, and cloud technologies to ensure high availability.

You will implement OpenTelemetry, build dashboards and alerts, optimize performance, and collaborate across teams to improve reliability and capacity planning.

Qualifications

• Experience with Java development and SRE practices.
• Proficient in monitoring, telemetry, observability, and automation.
• Familiarity with cloud technologies.

Responsibilities

• Design, develop, and maintain telemetry instrumentation for Java-based applications.
• Implement observability solutions using logs, metrics, traces, and events.
• Build and optimize monitoring frameworks to identify issues proactively.
• Create dashboards and alerts for service health monitoring.
• Integrate OpenTelemetry and distributed tracing across services.
• Analyze performance and troubleshoot production incidents.
• Collaborate with development, infrastructure, cloud, and operations teams.
• Define SLIs, SLOs, and SLAs to measure reliability.
• Automate operational workflows and incident response processes.
• Perform RCA and implement preventive measures.
• Assist with capacity planning and disaster recovery efforts.

Skills

Site Reliability Engineering (SRE)

Job description

Machine Learning Technologies, LLC seeks a Java SRE Telemetry Engineer in Dallas to design, develop, and support observability and telemetry solutions for large-scale enterprise applications. The role emphasizes Java development, SRE practices, monitoring, telemetry, and cloud technologies to ensure high availability.

You will implement OpenTelemetry, build dashboards and alerts, optimize performance, and collaborate across teams to improve reliability and capacity planning.