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操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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Sr Principal / Architect Engineer, Software - Backend, AI Observability/Evaluat

Palo Alto Networks

リモート勤務

勤務地
Remote (Australia)
勤務時間
Full Time
掲載日
2026年10月18日

応募する前に、企業のウェブサイトで現在も募集中かどうかと詳しい条件を確認してください。

仕事内容

操作画面は日本語です。企業が掲載した求人の職種名や説明文は原文のまま表示され、英語の場合があります。

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 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 . 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?: YesOriginally posted on Himalayas

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必須条件と歓迎条件を分けて確認し、勤務時間、報酬、勤務地が掲載されている場合は目を通しましょう。リモート勤務でも、居住国、就労資格、勤務時間帯が指定されることがあります。現在の募集状況と詳しい条件は企業に確認してください。

募集要件に関連する実際の経験を選び、自分の役割と貢献を説明しましょう。数値は根拠がある場合にのみ使ってください。企業の応募方法に従い、送信前に連絡先、内容、PDFの表示を確認しましょう。

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仕事探しに関するよくある質問

英語の求人が表示されるのはなぜですか?

職種名や説明文は企業が作成したものです。条件や要件を変えないように原文を掲載しています。操作画面とこのガイドは日本語です。日本語の検索で見つからない場合は、「software engineer」のように、掲載言語の職種名やスキル名でも検索してみてください。検索語が自動翻訳されるわけではありません。

リモート求人なら、どの国からでも働けますか?

必ずしもそうではありません。居住国、就労資格、勤務時間帯が指定されている場合があります。元の求人ページで条件を確認してください。記載がない場合は、自分の居住地から応募できると判断する前に企業へ確認しましょう。リモートという表示だけでは、勤務地の制限がないことは分かりません。

検索結果が出ない場合はどうすればよいですか?

より一般的な職種名や一つのスキルで検索し、条件を一つずつ外してみてください。同じような仕事でも企業によって呼び方が異なります。特定の求人が見つからなくなった場合は、企業の採用ページで求人番号を探しましょう。検索条件を広げても、終了した募集が再開するわけではありません。

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応募書類とカバーレターはどう調整すればよいですか?

募集要件と、自分が説明できるプロジェクト、業務、成果を結び付けます。経験していない技術や実績を加えず、関連する経験を分かりやすく示してください。カバーレターでは応募理由を具体例とともに伝えます。指定された言語とファイル形式に従い、送信前に両方の書類を確認しましょう。