Backend Engineer

Your Career
As a Backend Engineer within our On-Prem platform team, you play a pivotal role in building a new on-premise 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 industry’s leading cyber products.
Building a highly available, reliable and secured on-premise platform that performs just as good as the cloud product is a significant challenge. Your crucial role goes beyond development, involving cross-organizational 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 can-do approach, an internal drive for excellence and improvement, and thrive on bringing value to thousands of customers.

Your Impact
As a Backend Engineer on the team, you will:

Work on a new product, implement major parts from design to implementation!
SAAS to on-premise challenge! 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

Who knew? You do! 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 - 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 infrastructure-as-code (IaC) tools (e.g., Terraform, Ansible) solutions for on-prem Kubernetes clusters and applications.
Like CEPH, implements and manages cloud-native persistent storage solutions 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
5+ 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