Palo Alto Networks
Senior Data & MLOps Engineer (Cortex)
Job Description
Company Description
Our Mission
At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Our Approach to Work
We lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible – from your wellbeing support to your growth and development, and beyond!
Job Description
Your Career
We are looking for a Data & MLOps Engineer to join our Data & AI group at Cortex Research. Our team is responsible for designing and developing data pipelines for researchers while handling the complexity of managing large scale data. A central focus for our team is the development of streamlined pipelines for the efficient deployment of machine learning models into production environments and later on monitoring them.
Your Impact
- Develop Business-Centric Data Systems
- Take ownership of building data systems that deliver maximum business value, ensuring they are certified, scalable, robust, fault-tolerant, and user-friendly
- Conduct thorough data analysis to uncover actionable business insights derived from the implemented data models
- Collaborative Teamwork
- Partner as a team player with security researchers, data scientists and other customers to gain a deeper understanding of requirements, identify bottlenecks, and collaboratively find resolutions
- Actively contribute to addressing challenges and fostering a cooperative work environment
- Technological Agility
- Demonstrate quick learning and adaptability to new technologies in the field of MLOps and data engineering
- Stay abreast of emerging trends to contribute to continuous improvements in data and ML processes
Qualifications
Your Experience
- BS in Computer Science or related field or equivalent military experience required
- At least 4 years experience as a Data Engineer
- At least 3 years experience in building ML pipelines, working in the MLOPs space and having deep understanding of ML flows and processes
- Strong python programming skills
- Familiarity with GCP services, preferably having supported deployments on one or more of GCP services such as GKE and App Engine (or equivalent cloud provider)
- High level of writing optimized SQL code
- Experience in Managing code using Gitlab (or equivalent)
- Experience with CI-CD processes
- Can-do attitude, good interpersonal and teamwork skills
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 don’t 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.
Our Commitment
We’re trailblazers that dream big, 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 [email protected].
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.
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Is role eligible for Immigration Sponsorship?: No. Please note that we will not sponsor applicants for work visas for this position.
