Principal Engineer Software - Developer Experience, Backend (Chronosphere)
Our Mission
At Palo Alto Networks ®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Summary
About us:
Chronosphere, a Palo Alto Networks company, is the observability platform built for control in the modern, containerized world. Chronosphere empowers customers to focus on the data and insights that matter by reducing complexity, optimizing costs, and remediating issues faster. Chronosphere reduces data volumes and associated costs by 84% on average while saving developers thousands of hours. Recognized as a leader by major analyst firms, Chronosphere is trusted by the world's most innovative brands, including DoorDash, Affirm, and Zillow.
About our roles
We are a collection of customer facing teams who craft best-in-class observability solutions that turn massive streams of telemetry into actionable AI driven intelligence and insights. Our highly reliable platform enables our customers to troubleshoot in real-time and harden system reliability through AI powered guided troubleshooting, contextualized data and elegant collaboration tools. We are continuously shortening the distance between a customer observing a problem and our platform providing a solution while making the complexity easy to navigate and understand.
We are looking for experienced engineers with a strong product sense who asks "why" as often as "how”. You’ll use systems thinking to design workflows that surface key business insights. This role is perfect for someone who wants to own the technical roadmap and ship features that redefine how teams collaborate during mission-critical moments.
Qualifications
You will
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Directly impact how customers leverage observability for their infrastructure and services architecture
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Leverage AI infrastructure like LLMs, ML to build innovative capabilities for our customers
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Design experiences and systems for contextualizing large amounts of telemetry data
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Help shape the architecture of a rapidly scaling platform
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Collaborate with deeply technical teammates and customers
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Improve our own system observability (we use our own product heavily)
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Improve performance, reliability, and cost efficiency of distributed systems
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Mentor engineers and help maintain our engineering standards
You have
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Strong experience in one or more backend languages (e.g., Go, Java, Python, Rust)
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Experience using AI coding assistants (e.g., Cursor, Claude) as part of day-to-day software development
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Experience building and operating highly available systems in production
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Experience working with cloud infrastructure (AWS, GCP, Azure)
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Experience designing APIs (REST, gRPC, GraphQL) for scale
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Experience working effectively with cross functional partners
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Experience owning and executing projects from inception to delivery
This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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