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Principal Engineer Software (Developer Platforms) - NetSec - Bangalore

Palo Alto Networks

Principal Engineer Software (Developer Platforms) - NetSec - Bangalore

full-timePosted: Aug 27, 2026Updated: Aug 28, 2026Office - India - Bangalore Bagmane Tech Park

Job Description

Our MissionAt 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 AreIn 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 SummaryThe TeamEngineering - The Engineering organization is tasked with providing a platform of services that delight our users and accelerate the velocity and innovation of security products in the cloud.Job SummaryPalo Alto Networks is seeking a Principal Software Engineer to champion a world-class engineering culture and drive innovation within our Engineering Productivity team. In this role, you will impact thousands of engineers by shaping the technical vision for source code management, build and test tooling, and end-to-end CI/CD workflows. You will also be instrumental in driving AI productivity by championing an AI-first architecture and automating critical lifecycle processes. Join us to develop solutions that empower engineering teams to deliver high-quality security products with maximum velocity.Key ResponsibilitiesImplement infrastructure, tools, and frameworks to keep developers in sync across the commit-deploy pipeline.Partner with engineering teams to develop solutions that increase developer efficiency and productivity.Design, build, and maintain automation tools for development, testing, deployment, and monitoring.Simplify CI pipelines to increase visibility and enable faster insights into potential problems.Champion an AI-first architecture to transform the organization into an AI-native product lifecycle.Qualifications Minimum of 9 years of relevant software engineering experience (Please confirm this inferred value based on Principal level).Deep understanding of Engineering Productivity tools and platforms.Experience with cloud computing platforms such as Amazon AWS, Microsoft Azure, or Google Cloud Platform.Experience with build frameworks, configuration management systems, infrastructure as code tools, and secrets management.Proficiency in object-oriented programming languages such as Python, Java, C/C++, Go or Node.js.Proficiency in algorithms, data structures, system design, building AI agents, context engineering, and harness engineering.Preferred QualificationsFull stack (web, backend) development exposure.Prior experience building CI/CD using Gitlab, Bitbucket, Jenkins, Vault, Artifactory, Spinnaker, or ArgoCD.Extensive experience working within the Google Cloud Platform (GCP) ecosystem.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.

Locations

  • Office - India - Bangalore Bagmane Tech Park

Skills Required

  • cloud computing platforms such as Amazon AWSintermediate
  • build frameworksintermediate
  • object-oriented programming languages such as Pythonintermediate
  • algorithmsintermediate
  • CI/CD using Gitlabintermediate

Required Qualifications

  • Minimum of 9 years of relevant software engineering experience (Please confirm this inferred value based on Principal level). (experience, 9 years)
  • Deep understanding of Engineering Productivity tools and platforms. (experience)
  • Experience with cloud computing platforms such as Amazon AWS, Microsoft Azure, or Google Cloud Platform. (experience)
  • Experience with build frameworks, configuration management systems, infrastructure as code tools, and secrets management. (experience)
  • Proficiency in object-oriented programming languages such as Python, Java, C/C++, Go or Node.js. (experience)
  • Proficiency in algorithms, data structures, system design, building AI agents, context engineering, and harness engineering. (experience)
  • Minimum of 9 years of relevant software engineering experience (Please confirm this inferred value based on Principal level). (experience, 9 years)
  • Deep understanding of Engineering Productivity tools and platforms. (experience)
  • Experience with cloud computing platforms such as Amazon AWS, Microsoft Azure, or Google Cloud Platform. (experience)
  • Experience with build frameworks, configuration management systems, infrastructure as code tools, and secrets management. (experience)
  • Proficiency in object-oriented programming languages such as Python, Java, C/C++, Go or Node.js. (experience)
  • Proficiency in algorithms, data structures, system design, building AI agents, context engineering, and harness engineering. (experience)

Preferred Qualifications

  • Full stack (web, backend) development exposure. (experience)
  • Prior experience building CI/CD using Gitlab, Bitbucket, Jenkins, Vault, Artifactory, Spinnaker, or ArgoCD. (experience)
  • Extensive experience working within the Google Cloud Platform (GCP) ecosystem. (experience)
  • Full stack (web, backend) development exposure. (experience)
  • Prior experience building CI/CD using Gitlab, Bitbucket, Jenkins, Vault, Artifactory, Spinnaker, or ArgoCD. (experience)
  • Extensive experience working within the Google Cloud Platform (GCP) ecosystem. (experience)

Responsibilities

  • Implement infrastructure, tools, and frameworks to keep developers in sync across the commit-deploy pipeline.
  • Partner with engineering teams to develop solutions that increase developer efficiency and productivity.
  • Design, build, and maintain automation tools for development, testing, deployment, and monitoring.
  • Simplify CI pipelines to increase visibility and enable faster insights into potential problems.
  • Champion an AI-first architecture to transform the organization into an AI-native product lifecycle.
  • Implement infrastructure, tools, and frameworks to keep developers in sync across the commit-deploy pipeline.
  • Partner with engineering teams to develop solutions that increase developer efficiency and productivity.
  • Design, build, and maintain automation tools for development, testing, deployment, and monitoring.
  • Simplify CI pipelines to increase visibility and enable faster insights into potential problems.
  • Champion an AI-first architecture to transform the organization into an AI-native product lifecycle.

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