Senior Software Engineer, AIOps and Observability

What you'll do

• Lead platform development and set technical direction, standards, and roadmaps for observability initiatives.
• Build scalable telemetry systems and apply machine learning to anomaly detection, forecasting, and root cause analysis.
• Develop AI agents and agentic workflows to help engineers detect, diagnose, debug, and resolve production issues.

What they ask for

• Bachelor’s degree in computer science and engineering or a related field, or equivalent experience.
• 12+ years of product development and full stack engineering experience, including 5+ years developing and operating observability platforms and solutions.
• Experience with observability and AIOps tools, container and microservices environments, streaming services, and programming in one or more languages.
• Experience monitoring on-premises and public cloud environments and operating large observability platforms on bare-metal infrastructure.

Nice to have

• Deep understanding of large-scale on-premises infrastructure and networking observability.
• Experience with LLMs, machine learning, generative AI, or agentic AI frameworks for observability.

Pay

200,000 USD - 322,000 USD (base salary)

Tools

Prometheus, Victoria Metrics, Vector, Loki, Grafana, OpenTelemetry, Kubernetes, Kafka

AI focus

Implement machine learning for anomaly detection, forecasting, and root cause analysis; develop AI agents and agentic workflows for production issue detection, diagnosis, debugging, and remediation recommendations.