Sr Staff Engineer Software ControllerKubernetes

Your Career

We are seeking a highly skilled Engineer specializing in cloudnative infrastructure development. This role is ideal for someone with expertise in Kubernetes container orchestration multicloud resource orchestration and distributed systems. The team you will join is responsible for architecting scaling and optimizing our multicloud environments (Terraform CFT etc. as well as Kubernetesbased environments) to build and maintain a highavailability resilient infrastructure.

Your Impact

• Work along side a team of Kubernetes and cloud infrastructure engineers.

• Work crossfunctionally with development DevOps and security teams to streamline deployments and optimize system reliability.

• Technical Strategy & Implementation:

• Architect implement monitor and scale multicloud deployments Kubernetes clusters for missioncritical applications. 

• Define and enforce Kubernetes security networking and governance best practices. Improve monitoring logging and alerting solutions for Kubernetesbased workloads. 

• Evaluate and integrate service mesh technologies like Istio where necessary. 

• Optimize performance cost and availability in cloudnative environments (AWS GCP OCI).

• Process & Collaboration:

• Develop and manage dynamic orchestration for multiple cloud resources in AWS GCP OCI etc.

• Develop and manage Kubernetes infrastructureascode (IaC) 

• Work closely with SRE and DevOps teams to enhance CI/CD pipelines for containerized applications.

• Ensure compliance with SLAs SLOs and SRE best practices for uptime and performance.

• Lead incident response root cause analysis and capacity planning efforts.

Qualifications :

Your Experience 

• 510 years of experience in software engineering or infrastructure roles

• Strong knowledge of cloud platforms (AWS GCP or OCI) and cloudnative technologies.

• Experience with Helm Terraform Kustomize ArgoCD or Flux.

• Proficiency in scripting or programming languages such as Python or Go 

• Good understanding of networking concepts like CNI ingress controllers and service meshes.

• Strong problemsolving skills and ability to work in a fastpaced evolving environment.

Preferred:

• Experience with multicluster Kubernetes deployments and edge computing.

• Exposure to serverless computing (Knative AWS Lambda).

• Experience working with observability tools (Prometheus Grafana OpenTelemetry).

Additional Information :

The Team

Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. 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.

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 $126000 $197500/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.

Is role eligible for Immigration Sponsorship No. Please note that we will not sponsor applicants for work visas for this position.