drjobs Principal DevOps Engineer (Cortex)

Principal DevOps Engineer (Cortex)

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1 Vacancy
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Job Location drjobs

Bangalore - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Your Career

Were looking for a Principal Engineer to join the Cortex SRE Production team at our India Development Center (IDC). This is a high-impact role where youll collaborate with global SRE and DevOps teams to enhance visibility reliability and automation across our production infrastructure via tooling and platform development. 

Your Impact

As a Principal Engineer in the Global SRE Automation group you will shape the future of infrastructure reliability scale and developer productivity. You will lead the design and development of cloud-native automation tools streamline operational workflows and embed resilience into every layer of the platform.

You will:

  • Architect and build automation systems that support self-healing observability and service-level assurance
  • Contribute to the developer experience and internal tooling ecosystem driving reliability through code
  • Influence the SRE strategy by introducing innovations in cloud-native backend services Kubernetes automation and platform engineering
  • Partner with global teams to deliver reliable infrastructure integrating AI models event-driven systems and data pipelines to unlock operational insights
  • Set standards for code quality system design and operational excellence across the organization

Qualifications :

Your Experience 

  • 10 years of experience in Cloud Engineering DevOps or Infrastructure Software Development with a strong focus on automation reliability and platform scalability
  • Deep expertise in AWS and Google Cloud Platform (GCP) with strong understanding of networking compute serverless and cost-optimization services
  • Proficient in Python or Go with a solid grasp of modern backend development frameworks (e.g. Flask FastAPI Gin) and cloud-native application design
  • Hands-on experience building RESTful APIs microservices and cloud-native platforms supporting high availability and self-service
  • Designed and integrated Generative AI and LLM-based pipelines including Retrieval-Augmented Generation (RAG) into internal tooling and operational systems to enhance developer productivity and incident response
  • Applied predictive analytics anomaly detection and MLOps for use cases such as cost forecasting capacity planning and proactive incident management
  • Built and optimized Cloud FinOps tooling to monitor usage patterns reduce waste and provide actionable insights into cloud spend
  • Developed AI-driven automation agents (bots) for cloud operations alert triage knowledge retrieval and ticket deflection
  • Strong experience with:
    - Infrastructure-as-Code: Terraform CDK
    - Kubernetes: Cluster lifecycle management Helm/Kustomize GitOps (ArgoCD)
    - CI/CD pipelines observability frameworks (Prometheus Grafana ELK) and SRE tooling for incident automation
  • Proficient in SQL and NoSQL databases such as PostgreSQL and Elasticsearch
  • Exposure to Kafka and event-driven architectures for real-time data streaming and integration.
  • Excellent problem-solving debugging and systems design skills
  • Demonstrated leadership in cross-functional engineering teams including mentoring architectural guidance and influencing long-term platform direction


Additional Information :

The Team

To stay ahead of the curve its critical to know where the curve is and how to anticipate the changes were facing. For the fastest-growing cybersecurity company the curve is the evolution of cyberattacks and access technology and the products and services that dedicatedly address them. Our engineering team is at the core of our products connected directly to the mission of preventing cyberattacks and enabling secure access to all on-prem and cloud applications. They are constantly innovating challenging the way we and the industry think about Access and security. These engineers arent shy about building products to solve problems no one has pursued before. They define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Our engineering team is provided with an unrivaled chance to create the products and practices that will support our company growth over the next decade defining the cybersecurity industry as we know it. If you see the potential of how incredible people and products can transform a business this is the team for you.   If the prospect of affecting tens of millions of people enabling them to work remotely securely and easily in ways never done before thrill you - you belong with us.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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 No. Please note that we will not sponsor applicants for work visas for this position.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

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