Principal Engineer Software – Cortex Platform
| Company | Palo Alto Networks |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- BS/MS in Computer Science or Computer Engineering or related technical degree
- 8+ years of hands-on experience in software backend engineering, with a focus on cloud-native 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 cloud-native 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 data-driven decisions for building out full stack products, deployed on the cloud at scale
- Enjoys working with many different teams in a fast-paced environment with strong collaboration and communication skills
Responsibilities
- Work on a new product, implement major parts from design to implementation
- Building / Enhancing an on-prem 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
- Research new technologies and see how they can be adapted to the product
- Utilize your big-picture 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 execution and high output
- 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 infrastructure-as-code (IaC) tools (e.g., Terraform, Ansible) solutions for on-prem Kubernetes clusters and applications
- Implement and manage cloud-native persistent storage solutions (e.g. CEPH) with Kubernetes clusters
- Manage and optimize storage solutions within the Kubernetes environment, including persistent volumes and storage classes
- Provide technical guidance and support to customers deploying our applications in their chosen environments
Preferred Qualifications
-
No preferred qualifications provided.