Senior Platform Engineer Cortex XDR
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Job Description
Your Career
We are looking for a highly talented technical individual to join the Cortex XDR infrastructure team.
The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research development and QA departments to ensure the functionality stability and quality of the XDR product alongside the efficiency of the infrastructure and process used to build test and deploy on various clouds and distributions.
We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our departments progress to the modern future and one of our key growth factors.
As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches eliminating manual efforts and introducing new development operations for continuous integration scale & durability using advanced cloud services.
Your expertise will be used in areas such as infrastructure development cloud based automation serverless infrastructure automation as a service providing technical guidance and pushing infrastructureconfiguration as a code and GitOps approach across the development departments.
To succeed in this role you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs.
You should be familiar with modern public clouds approaches and serverless based architectures including virtualization containers and container based orchestration including multiple Kubernetes based deployments.
You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fastpaced growing environment as part of our quest for continuous improvement.
Your Impact
Utilize modern technologies including serverless cloud services Kubernetes Terraform among others and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes.
Design and implement (hands on) the next generation of platforms automation frameworks SDKs and tools to be used across our entire R&D group and be part of our infrastructure transition to the cloud.
Develop and maintain a cloud based test execution system that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale and by so helping reduce the amount of effort required to perform automatic testing and manual testing and reduce time to market.
Provide tools systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale.
Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.
Qualifications :
Your Experience
At least 4 years of handson experience as one of the following:
Platform/InfraOps Engineer DevOps Cloud Infrastructure Engineer or equivalent.Handson experience working with cloud services in big public Clouds (Azure AWS GCP).
Experience with designing and implementing cloud based infrastructure (especially serverless components) alongside using infrastructure as Code tools such as Terraform and Pulumi to
automatically build and maintain the provisioned cloud infrastructure.Strong programming skills in Python (or another high level language) with vast experience in ObjectOriented Programming including Design Patterns Algorithms and Data Structures.
Strong experience with containerization technologies (docker containerd) and orchestration especially with various Kubernetes deployments both selfmanaged and cloud managed deployments.
Strong experience with SCM methodologies (especially Git) and SCM integration workflows.
Experience with implementing and maintaining Continuous Integration pipelines and flows and familiarity with CI tools such as Jenkins GitHub Actions Gitlab Pipelines or similar build servers.
Nice to have:
Computer Science B.Sc. or equivalent education.
Strong experience with scripting (Bash/Groovy) and automation tools (like Ansible)
Security background in general and security programs knowledge in particular.
Proven experience in building or maintaining automation frameworks for large scales
and experience with provisioning and managing large scales of Virtual Machines in parallel.Experience with monitoring tools like Prometheus Grafana Datadog ELK etc.
Experience with relational (SQL) and nonrelational databases including backup & recovery.
Additional Information :
The Team
Our engineering team is at the core of our products and connected directly to the mission of preventing cyber attacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before.
We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
