Cornerstone

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

Job Description

Principal DevOps Engineer (Product Support & Customer Operations)

Your Career

As a Principal DevOps Engineer within our On-Prem Platform team, you will play a critical role in ensuring the reliability, operability, and customer success of our on-premise platform powering Cortex products — Cortex XSOAR, Cortex XDR, Cortex XSIAM, and Cortex Cloud.

This role is centered around supporting production deployments, resolving complex customer issues, leading troubleshooting efforts, and driving operational excellence across customer environments.

You will work directly with enterprise customers, customer engineering teams, product teams, and platform engineering to ensure successful deployment and operation of large-scale Kubernetes-based environments.

This position requires a strong hands-on engineering mindset combined with excellent communication skills and the ability to lead technical discussions and customer calls under pressure.

You will own critical incidents end-to-end, identify systemic improvements, and continuously enhance platform stability, automation, and operational efficiency.

Your Impact

As a Principal DevOps Engineer, you will:

Product Operations & Customer Support

• Serve as a senior technical escalation point for complex customer production issues.
• Lead troubleshooting and resolution of platform incidents across customer environments.
• Participate in customer-facing technical calls, war rooms, root cause analysis sessions, and operational reviews.
• Support enterprise deployments and guide customers through installation, upgrades, scaling, and recovery scenarios.
• Build trusted relationships with customers through technical expertise and operational excellence.

Incident Management & Troubleshooting

• Drive incident response activities for critical production issues.
• Perform deep system analysis across infrastructure, Kubernetes clusters, networking, storage, and applications.
• Conduct root cause analysis (RCA) and implement preventive actions to improve reliability.
• Develop diagnostic procedures, runbooks, and operational playbooks.
• Collaborate across Engineering, Product, Support, and Customer Success teams to resolve issues efficiently.

Platform Reliability & Automation

• Design and maintain highly available, scalable, and secure Kubernetes-based infrastructure.
• Improve platform operability through automation and self-healing mechanisms.
• Automate deployment, configuration, and lifecycle management using Infrastructure as Code (IaC).
• Build operational tooling to reduce manual effort and improve observability.
• Define monitoring, alerting, and capacity planning strategies.

DevOps & Platform Engineering

• Design, implement, and optimize Kubernetes deployment architectures.
• Develop automation frameworks and operational services using Go or Python.
• Implement and maintain configuration management and provisioning workflows using Ansible.
• Improve logging, monitoring, and observability across distributed environments.
• Support storage, backup, disaster recovery, and performance optimization initiatives.

Qualifications

Your Experience

• 5+ years of experience in DevOps, SRE, Platform Engineering, Infrastructure Engineering, or Production Operations roles.
• Strong hands-on expertise with Linux administration and troubleshooting in production environments.
• Deep operational experience with Kubernetes architecture, deployment, administration, and troubleshooting.
• Strong experience with Ansible for automation and infrastructure management.
• Strong programming and automation skills in Go or Python.
• Proven experience supporting customer-facing production environments and handling critical incidents.
• Excellent troubleshooting and debugging skills across infrastructure, networking, containers, and applications.
• Experience conducting customer calls, technical workshops, and incident management sessions.
• Strong understanding of:
  • Kubernetes (Helm, Operators, Cluster lifecycle)
  • Linux systems and performance tuning
  • Networking and distributed systems
  • Observability (logs, metrics, tracing)
  • Infrastructure as Code
  • HA and disaster recovery strategies
• Experience with Kubernetes distributions and tooling (RKE2, Kubespray, Rancher, Helm).
• Experience working with cloud and hybrid environments (AWS, GCP, Azure is a plus).
• Strong understanding of DevOps, SRE, and Continuous Delivery practices.
• Ability to work cross-functionally and influence engineering and product decisions.

Preferred

• Experience supporting enterprise on-prem deployments.
• Experience with storage technologies such as Ceph / Rook.
• Experience operating large-scale distributed systems.
• Background in cybersecurity or cloud platforms is a plus.