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Java SRE Telemetry Engineer

Role Overview: We are seeking a highly skilled Java SRE Telemetry Engineer to design, implement, and enhance observability, monitoring, and telemetry solutions for enterprise-scale applications. This role combines expertise in Java development, Site Reliability Engineering (SRE), monitoring, telemetry, observability, automation, and cloud technologies to ensure high system availability, reliability, and performance.
Key Responsibilities: Design, develop, and maintain telemetry instrumentation for Java-based applications and distributed systems. Implement observability solutions using logs, metrics, traces, and events. Develop and optimize monitoring frameworks to proactively identify system issues. Configure and maintain OpenTelemetry instrumentation across applications and services. Build dashboards, alerts, and reporting mechanisms for operational visibility and service health. Analyze system behavior, identify performance bottlenecks, and troubleshoot production incidents using telemetry data. Define and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets/Agreements (SLAs). Improve application availability, resiliency, scalability, and reliability. Automate incident detection, root cause analysis, operational processes, and workflows. Participate in production support, incident management, and post-incident reviews. Deploy and manage telemetry solutions across cloud environments (AWS, Azure, GCP). Integrate observability tools within CI/CD pipelines. Collaborate with development, infrastructure, cloud, DevOps, and Platform Engineering teams. Support containerized and microservices-based architectures (Kubernetes, Docker). Contribute to capacity planning, disaster recovery, and performance optimization initiatives.
Required Skills: Strong expertise in Java development and Core Java. Site Reliability Engineering (SRE) practices and principles. Telemetry Engineering, application monitoring, and observability platforms (OpenTelemetry, Splunk, Dynatrace, Datadog, Prometheus, Grafana, ELK). Experience with distributed systems and cloud technologies (AWS, Azure, GCP). Proficiency in APM, Distributed Tracing, and Incident Management. DevOps methodologies and reliability engineering. Familiarity with containerization (Kubernetes, Docker).
Qualifications: 5-8 years of relevant experience.