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As a Remote Runtime Analytics Engineer you will play a critical role in monitoring analyzing and optimizing real-time system behavior and application performance at scale. Your primary responsibility will be to design and implement observability and analytics solutions that provide actionable insights into runtime operations including latency throughput resource consumption and system anomalies.
This role is ideal for professionals with a deep understanding of telemetry data (logs metrics traces) performance profiling and distributed system architecture. Youll collaborate closely with SREs backend engineers product teams and platform owners to ensure systems are running reliably efficiently and transparently.
Key Responsibilities:
Design and implement real-time analytics pipelines that monitor and report on runtime behavior of services and systems
Collect process and visualize logs metrics and traces using tools like Prometheus Grafana Datadog New Relic or OpenTelemetry
Develop custom instrumentation and profiling solutions in high-performance environments (e.g. Java Go Python C)
Build dashboards alerts and visualizations to track performance latency resource utilization and availability
Conduct root cause analysis of performance bottlenecks outages and latency spikes using distributed tracing and runtime diagnostics
Work with engineering teams to ensure observability best practices are embedded throughout the software development lifecycle
Support incident response and postmortems with accurate runtime diagnostics and historical data analysis
Optimize the efficiency and reliability of data collection agents sidecars and pipeline integrations
Create technical documentation for analytics architecture instrumentation standards and team workflows
Drive continuous improvements in system transparency and feedback loops for development and operations teams
Required Qualifications:
Bachelors degree in Computer Science Engineering Data Science or a related technical field
2 years of experience in observability performance engineering or backend analytics roles
Deep understanding of telemetry data (metrics logs traces) and APM (Application Performance Monitoring) principles
Hands-on experience with tools such as Grafana Prometheus ELK/EFK Splunk Jaeger Zipkin or OpenTelemetry
Strong programming/scripting experience in Python Go Java or
Experience with containerized and orchestrated environments (Docker Kubernetes ECS etc.)
Strong problem-solving and analytical skills with a passion for systems-level thinking
Excellent communication and collaboration skills in distributed/remote environments.
Full Time