About our roles
We are building AI Observability and Evaluation capabilities on Chronosphere’s observability platform to help developers understand and improve the accuracy, relevance, performance, and safety of AI models, agents, and retrieval-augmented generation (RAG) applications. Our team enables customers to systematically test, measure, and benchmark AI agents and applications before deployment and monitor how they behave in production. We turn complex telemetry and evaluation data into insights that help developers build and operate reliable AI agents and applications at scale.
We are looking for experienced engineers with a strong product sense who asks “why” as often as “how”. You’ll partner with product managers, engineers, and customers to translate emerging AI observability and evaluation needs into scalable backend systems and cohesive developer workflows. You’ll help shape the technical roadmap and architecture, taking features from early exploration through production delivery.
Qualifications
You will
Build backend capabilities that help developers observe and evaluate AI models, agents, and RAG applications before and during production
Design systems for systematic testing, measurement, and benchmarking of AI agents and applications accuracy, relevance, performance, and safety
Build scalable APIs and data processing systems that contextualize AI telemetry and evaluation results, helping customers understand application behavior and identify opportunities for improvement
Help shape the technical roadmap and architecture for AI Observability and Evaluation, building on Chronosphere’s rapidly scaling platform
Collaborate with product managers, deeply technical teammates, and customers to scope, validate, and deliver integrated features and developer workflows
Improve our own system observability (we use our own product heavily)
Improve the performance, reliability, and cost efficiency of the distributed systems powering AI Observability and Evaluation
Mentor engineers and help maintain our engineering standards
You have
12-15+ years of experience in software engineering
Strong experience in one or more backend languages (e.g., Go, Java, Python, Rust)
Some experience developing LLM powered product features is desirable
Experience using AI coding assistants (e.g., Cursor, Codex, Claude) as part of day-to-day software development
Experience building and operating highly available systems in production
Experience working with cloud infrastructure (AWS, GCP, Azure)
Experience designing APIs (REST, gRPC, GraphQL) for scale
Experience working effectively with cross functional partners
Experience owning and executing projects from inception to delivery
Experience working with a high degree of autonomy with good judgement on when to push forward and when to ask for help
An effective collaborative working style and willingness to build and maintain a positive and supportive environment
An ability to operate effectively in a remote first environment
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship?: Yes