Staff Site Reliability Engineer (Observability)

Job Description

Your Career

Palo Alto Networks is looking for a talented Senior Site Reliability Engineer for our ever expanding Infrastructure & Cloud Operations. This position will be a part of the Infrastructure team, you will be working and partnering with our Network, Compute, Security, Database, Applications, and other teams to provide availability, reliability, and observability for our global IT infrastructure environments. You will help with building our next-generation IT operations through Automation, Code, Analytics, and continuous improvement. We are looking for analytical, agile, and influential leaders who can quickly deliver meaningful results and solutions with the flexibility to accommodate evolving business needs and shifting priorities. Are you a motivated, intelligent, creative, and hardworking individual who wants to contribute and make a difference? If yes, this job is for you!

The ideal candidate enjoys working in a fast-paced environment with highly innovative technologies. Our team partners closely with IT and Engineering groups and requires individuals to bring a can-do, positive attitude, with a focus on delivering exceptional customer support.

Your Impact

Implementing and supporting the Linux infrastructure as code where our globally distributed customer-facing platform runs.

Provision, configure & support resilient hybrid cloud deployment architecture using the automation framework and make it more efficient

Manage Linux infrastructure CI / CD platform, work with other SREs in deploying and maintaining automation framework, capacity planning, create and review PKI operational runbooks.

Manage scalability, capacity planning, redundancy, and resiliency.

Maintain service availability and performance SLAs based on business and product requirements.

Contribute to documentation related to design, deployment, validation, operations and DR / BCP.

Design proactive service monitoring, alerting and trend analysis of underlying infrastructure, and support the operations team in implementation.

Build and operate compute fabric for 1000s of VMs, Kubernetes Clusters. Develop scripts, build tools and write code to automate routine tasks.

Provide technical support to platform users

Respond to security implementation and audits of the environment.

Plan maintenance windows, write up change requests, present technical updates.

Participate in On-Call support including participating in RCA as required.

Design and implement network, compute and application-level monitoring solutions

Implement integrated and automated processes that drive operational excellence

Advise on industry best practices as it relates to new product selection

Drive operational cadences around business planning and performance management to ensure the efficient running of the IT org

Qualifications

Your Experience

Bachelors / Masters degree in Computer Science, Information Technology or technical stream with the equivalent combination of with Min of 5+ years work experience required.

Design, implement, and maintain comprehensive monitoring and observability solutions. This includes implementing and managing observability frameworks with a solid understanding of MELT (Metrics, Logs, Events, Traces)

Strong working experience and exposure to containers and orchestration ( Docker, Kubernetes)

Experience with administration and orchestration of cloud computing (AWS, GCP, etc.) running virtual or container environments.

Infrastructure as Code knowledge - Terraform, Ansible, Git, Puppet

Fluent Scripting skills preferably Python OR Shell OR Bash

Proficient in CI / CD platforms like Jenkins, CircleCI, etc

Background knowledge of network and security technologies

Experience in developing  and managing APIs, understanding of API infrastructure optimization and security

Ability to work cross-functionally across multiple business units, such as product development and engineering

Must be able to collaborate with a global team spread across multiple time zones.

Passion, drive, energy, a sense of humour and a great attitude!

Knowledge of AIOps, Application of Machine Learning / Artificial Intelligence in Cloud Infrastructure, Observability or IT Operations.

Additional experience in one or more of the following areas is a big plus

Development of self-healing infrastructure and applications.

Understanding of  Big data, data analytics theory and application.

Exposure to Enterprise Business Applications, ITSM frameworks and tools is a big plus.

Additional Information

The Team

We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple : we can’t 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.

Our Commitment

We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple : we can’t 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.