Sr Staff Site Reliability Engineer Cortex Data Lake
Sr Staff Site Reliability Engineer Cortex Data Lake
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Salary Not Disclosed
1 Vacancy
Job Description
Your Career
Palo Alto Networks runs a large infrastructure and is one of the largest GCP customers. As a Senior Staff DevOps Engineer for the CDL/SLS team you will be part of a team supporting the services running on this infrastructure. This includes automation architecture performance observability troubleshooting security and reliability.
Our Infrastructure Platform stack includes Terraform Kubernetes GitLab CI/CD GitOps Prometheus Grafana Loki Docker GCP Vault Kafka MySQL Python Bash and Go.
Your Impact
- Contribute to the success of SRE and DevOps
- Develop expertise in new technologies
- Work with developers researchers data scientists and security experts
- Design build and operate reliable secure Cloud infrastructure
- Ensure that applications are productionready scalable and reliable
- Develop tools and automation frameworks
- Automate robust deployment of robust services
- Orchestrate endtoend monitoring and alerting
- Participate with SRE and Dev teams in the oncall rotation
- Lead root cause analysis of critical business and production issues
Qualifications :
Your Experience
- 4 years as an engineer in Infrastructure Operations DevOps or System Engineering
- 3 years building high availability scalable cloudnative applications on AWS or GCP
- BS or MS in Computer Science a related field or equivalent professional experience or equivalent military experience required
- Expertise in configuration management with a framework such as Ansible Terraform Helm
- Passion for infrastructure and monitoring as code
- Solid experience in container workloads and Kubernetes
- Familiarity with PKI concepts Networking concepts
- Indepth knowledge of different security controls ( appid userid security profile url category content ssl decryption firewall MFA etc)
- Linux administration internals and network troubleshooting
- Proficiency with programming languages like Golang or Python along with shell scripting to automate tasks
- Proficiency with CI/CD pipelines ArgoCD and GitLab CI/CD. Knowledge of GitLab Runners is a plus
- Ability to diagnose and troubleshoot complex distributed systems handling high volume transactions
- Experience with managing Kafka is a plus
- Excellent written and verbal communication able to collaborate and rally support
- Selfdisciplined selfmanaged selfmotivated and strong sense of ownership urgency and drive
- Ready to understand and dissect new technology stacks quickly
Additional Information :
The Team
Our engineering team is at the core of our products 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 $203500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
#LITD1
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
Employment Type
Full-time
