Senior AI and HPC Observability Engineer

What you'll do

• Design observability platforms for metrics, logs, and traces; develop telemetry ingestion, processing, and routing services.
• Develop OpenTelemetry components and operate real-time and batch telemetry pipelines using distributed data technologies.
• Improve platform reliability, performance, and cost efficiency through monitoring, tuning, and capacity planning.

What they ask for

• Bachelor’s degree in Computer Science, Computer Engineering, or related field or equivalent experience.
• 5+ years of experience building backend or distributed systems in production environments.
• Strong programming skills in Python, Go, or Java; hands-on experience with observability architectures, PromQL, and time-series data systems.
• Experience with distributed data pipelines and Kubernetes; understanding of distributed systems, concurrency, and fault-tolerant design.

Nice to have

• Experience scaling observability platforms for AI, GPU, or HPC environments.
• OpenTelemetry, Prometheus, and high-volume telemetry expertise; machine learning or statistical techniques for anomaly detection, correlation, or predictive insights.

Pay

152,000 USD - 241,500 USD (base salary); 184,000 USD - 287,500 USD (base salary)

Tools

Python, Go, Java, PromQL, Kafka, Spark, Flink, Kubernetes

AI focus

Build observability for AI/ML and GPU workloads; preferred work includes integrating observability with AI/ML pipelines and using statistical or machine learning techniques for anomaly detection, correlation, or predictive insights.