Principal Backend Engineer, AI Observability & Evaluation in Melbourne

Principal Backend Engineer, AI Observability & Evaluation in Melbourne

Melbourne Full-Time 49500 - 60500 $ / year (est.) Remote
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At a Glance

  • Tasks: Design and implement scalable APIs and data processing for AI systems.
  • Company: Join Chronosphere, a leading tech company under Palo Alto Networks.
  • Benefits: Enjoy remote work flexibility and competitive salary packages.
  • Other info: Be part of a dynamic team focused on innovation and reliability.
  • Why this job: Shape the future of AI observability while working with global teams.
  • Qualifications: Experience in backend engineering and API development required.

The predicted salary is between 49500 - 60500 $ per year.

Chronosphere, a Palo Alto Networks company, is seeking experienced backend engineers to build AI Observability and Evaluation capabilities for production-scale systems.

You'll design and implement scalable APIs, data processing, and benchmarks for AI agents and RAG apps.

Work with product managers, engineers, and customers across geographies in a remote-first setup, shaping the architecture and roadmap while maintaining high reliability and cost efficiency.

Principal Backend Engineer, AI Observability & Evaluation in Melbourne employer: Palo Alto Networks, Inc.

Palo Alto Networks is an exceptional employer that fosters a collaborative and innovative work culture, where every employee's voice is valued. Located in NSW & VIC, the company offers meaningful career opportunities in cybersecurity, with a strong focus on personal and professional growth, as well as a commitment to diversity and inclusion. Employees benefit from a supportive environment that encourages teamwork and provides the resources needed to excel in their roles while making a significant impact in the industry.

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Contact Details:

Palo Alto Networks, Inc. Recruitment Team

We think you need these skills to ace Principal Backend Engineer, AI Observability & Evaluation in Melbourne

Backend Engineering
API Design
Data Processing
AI Observability
Evaluation Capabilities
Scalability
Architecture Design