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求人Palo Alto Networks

Principal DevOps Engineer - NetSec Bengaluru, Karnataka 02/10/2026

Palo Alto Networks

Principal DevOps Engineer - NetSec Bengaluru, Karnataka 02/10/2026

Palo Alto Networks

bengaluru

·

On-site

·

Full-time

·

2mo ago

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! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Job Summary As a Senior Principal DevOps Engineer, you will act as a deep technical owner of the data platform, building confidence in the reliability, resilience, and correctness of critical data systems. You will serve as a trusted technical partner to SRE, Development teams, and Architects on customer-impacting issues and drive the operational excellence of our most critical data infrastructure. Key Responsibilities - Serve as a trusted technical partner to SRE, Development, and Architecture teams on customer-impacting data platform issues, including ingestion delays and data unavailability. - Lead data loss prevention, corruption handling, and restore strategies to ensure data integrity and predictable recovery across all stateful systems. - Strengthen observability across data platforms by closing gaps in metrics, logging, and alerting to enable faster detection and resolution of complex issues. - Drive capacity planning and scalability initiatives for data platform infrastructure, ensuring systems are prepared for future growth and peak demand. - Collaborate with SRE and Development teams to automate monitoring and observability capabilities as part of building any new project or system. - Mentor team members by providing technical guidance, clear communication, and assurance during incidents and complex operational scenarios. - Create and maintain comprehensive runbooks for controlled, repeatable responses to incidents, errors, and systemic failures. Qualifications Required Qualifications - Bachelor's degree with 12 years of experience, or Master's degree with 8 years of experience, or PhD with 5 years of experience in Computer Science, a related field, or equivalent practical experience. - Deep specialization in building, operating, and scaling large, complex data platforms and stateful systems, including Kafka, Cassandra, RDS, MemSQL, Redis, and OpenSearch. - Strong ability to understand end-to-end distributed systems, data flow across microservices, and common failure modes. - Hands-on experience with data integrity, designing predictable backup strategies, and leading data recovery and restore workflows. - Strong experience with version control systems (e.g., Git) for managing infrastructure, scripts, and operational tooling. Preferred Qualifications - Proven ability to troubleshoot complex, product-specific data issues and operate at equal technical depth with Development teams and Architects. - Experience implementing large-scale monitoring initiatives and embedding observability early using configuration-as-code approaches. - Strong communication and influence skills, with the ability to engage with both technical and non-technical stakeholders across all levels. - Demonstrated ability to learn, evaluate, and apply new technologies as systems and platforms evolve. 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? No. Please note that we will not sponsor applicants for work visas for this position.

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1

応募クリック数

0

模擬応募者数

0

スクラップ

0

Palo Alto Networksについて

Palo Alto Networks

Secure the enterprise.

10,001+

従業員数

Santa Clara

本社所在地

$68.4B

企業価値

レビュー

3.2

4件のレビュー

ワークライフバランス

3.5

報酬

3.0

企業文化

2.5

キャリア

3.5

経営陣

2.0

35%

友人に勧める

良い点

Better work culture than some competitors

Higher compensation packages

Strong stock performance and growth

改善点

Poor recruiting and hiring process

Offer rescission issues

Lack of communication clarity

給与レンジ

19件のデータ

Mid/L4

Mid/L4 · DATA VISUALIZATION ENGINEER

1件のレポート

$179,361

年収総額

基本給

$137,970

ストック

-

ボーナス

-

$179,361

$179,361

面接体験

6件の面接

難易度

3.3

/ 5

期間

14-28週間

内定率

33%

体験

ポジティブ 17%

普通 66%

ネガティブ 17%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

System Design Round

6

Final Interview/Team Matching

よくある質問

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR

Past Experience