Senior Engineer in Observability (AI)

TL;DR

Senior Engineer in Observability (AI): Designing and building the next generation of AI-powered observability for a global data platform with an accent on telemetry pipelines, anomaly detection, and root cause analysis. Focus on architecting intelligent, autonomous systems that predict and prevent issues in large-scale distributed environments.

Location: Menlo Park, CA, USA

Compensation: $200K – $287.5K

Company

A global data platform empowering enterprises to achieve their full potential through innovation and AI-native solutions.

What you will do

• Design and build large-scale telemetry pipelines for metrics, logs, and traces across a multi-cloud platform.
• Architect AI-driven observability systems leveraging machine learning for anomaly detection and predictive insights.
• Define and drive global standards for instrumentation, tracing, and telemetry across services.
• Build tools that provide engineers with deep visibility into system behavior and performance.
• Optimize observability systems for high scale, low latency, and cost efficiency.
• Mentor engineers and provide technical leadership in distributed systems and AI diagnostics.

Requirements

• 7+ years of experience in software engineering with a strong focus on distributed systems.
• Deep experience building and operating large-scale cloud services.
• Strong proficiency in Java, Scala, C++, or Python.
• Solid understanding of system performance, debugging, and reliability engineering.
• Experience with major cloud platforms (AWS, Azure, or GCP).
• Proven ability to lead complex technical projects and influence architecture.

Nice to have

• Experience designing telemetry systems including metrics, logging, and distributed tracing.
• Knowledge of OpenTelemetry and AI-based monitoring approaches.

Culture & Benefits

• Culture centered on impact, innovation, and collaboration.
• Environment that encourages an experimental mindset and rapid testing of emerging capabilities.
• Opportunity to work at the intersection of large-scale systems and machine intelligence.