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Your Career
As a Principal Backend Engineer within our OnPrem platform team you play a pivotal role in building a new onpremise platform for running Cortex products Cortex XSOAR Cortex XDR Cortex XSIAM and Cortex Cloud..
You will design and develop an infrastructure that supports billions of events per second storing processing and making them accessible and visible to the user while collaborating with the industrys leading cyber products. Building a highly available reliable and secured onpremise platform that performs just as good as the cloud product is a significant challenge. Your crucial role goes beyond development involving crossorganizational impact collaboration to ensure success.
The great majority of the Cortex engineering group is located in the Santa Clara and Tel Aviv offices allowing us to operate at a high pace.
In this role you will need to be creative innovative and demonstrate deep knowledge in Kubernetes conducting research to find new technologies with a cando approach an internal drive for excellence and improvement and thrive on bringing value to thousands of customers.
Your Impact
As a Principal Backend Engineer on the team you will:
Huge! Work on a new product implement major parts from design to implementation!
SAAS to onpremise challenge! Building / Enhancing an onprem platform that will work seamlessly like the SAAS product.
Design build and optimize data models and queries for speed and scale using data storage technologies like MySQL and BigQuery
Who knew You do! Research new technologies and see how they can be adapted to the product
Utilize your bigpicture perspective to spot existing and impending problems then work with senior engineers and leadership across the department to analyze and solve them
Proactively spot articulate and mitigate risks in ongoing and planned projects to ensure smooth and high output This may include providing ad hoc mentorship communicating with project stakeholders or rolling up your sleeves and stepping in to help move things along
Kubernetes architecture! Design and implement HA performance tuning and disaster recovery strategies for Kubernetes clusters.
Design architect develop and maintain Kubernetes architecture product
Implement custom Kubernetes operators to automate application lifecycle management and complex deployment scenarios.
Automate the deployment and configuration of Kubernetes clusters using infrastructureascode (IaC) tools (e.g. Terraform Ansible) solutions for onprem Kubernetes clusters and applications.
Implement and manage cloudnative persistent storage solutions (e.g. CEPH) with Kubernetes clusters.
Manage and optimize storage solutions within the Kubernetes environment including persistent volumes and storage classes.
Customer First! Provide technical guidance and support to customers deploying our applications in their chosen environments.
Qualifications :
Your Experience
BS/MS in Computer Science or Computer Engineering or related technical degree
8 years of handson experience in software backend engineering with a focus on cloudnative application development at large organizations or innovative startups
Strong programming skills in one of Python or Go with experience in building distributed systems
Excellent troubleshooting abilities. Isolate issues found during testing and verify bug fixes once they are resolved
Experience with backend development (Rest APIs Databases Serverless computing) of distributed cloud applications
Strong understanding and applied knowledge of Kubernetes architecture deployments (such as Ansible Kubespray Helm CDK8s k8s managed and unmanaged) and a variety of Kubernetes distributions such as Rancher Kubernetes Engine (RKE2
Experience with database technologies like ElasticSearch MySQL BigQuery cloud technologies like S3 Pubsub RabbitMQ and caching technologies like Redis.
Experience with cloudnative storage solutions (e.g. Ceph Rook) with a Proven ability to develop and manage custom Kubernetes controllers or operators.
Good understanding of public cloud design considerations and limitations in areas of microservice architectures security global network infrastructure distributed systems and load balancing with proficiency in at least one cloud provider (AWS GCP Azure)
Strong understanding of principles of DevSecOps DevOps and Continuous Delivery
Experience with the agile process and working with software development teams involved with making datadriven decisions for building out full stack products deployed on the cloud at scale
Enjoys working with many different teams in a fastpaced environment with strong collaboration and communication skills
Additional Information :
The Team
Join our dynamic team where innovation and collaboration thrive. Experience a workplace that fosters personal and professional growth providing opportunities to take ownership of your career journey. Embrace the cutting edge of technology as we encourage professional work in software engineering particularly in the cloud domain. Make a real impact in the security domain contributing to solutions that directly benefit and protect our valued customers.
Compensation Disclosure
The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between 147000 $237500 YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
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
Full-time