Principal AIOps Engineer, Enterprise AI Platform

Your Career

As a Principal AIOps Engineer for the Enterprise AI Platform you will be a pivotal technical leader responsible for designing developing and implementing AI-driven solutions to enhance the reliability performance and efficiency of our critical IT and business systems. You will leverage the core AI platform to build sophisticated AIOps capabilities transforming how we monitor manage and optimize our digital infrastructure and applications. This role requires a deep understanding of IT operations machine learning and scalable system design to proactively identify issues automate remediation and drive continuous improvement across the enterprise.

Your Impact

• AIOps Platform Development: Design develop and implement advanced AIOps solutions leveraging machine learning algorithms and data analytics to automate and enhance IT operations. This includes developing real-time processing solutions for observational data (e.g. logs metrics events traces).
• Anomaly Detection & Predictive Analytics: Lead the implementation of AI/ML models for proactive anomaly detection root cause analysis and predictive insights into system health and performance across applications and infrastructure at enterprise scale.
• Intelligent Automation & Orchestration: Drive the automation of routine operational tasks incident response and remediation workflows using AI-driven agents and orchestration tools minimizing manual intervention and improving operational efficiency.
• Observability & Data Integration: Collaborate with observability teams to ensure the efficient collection processing and transformation of high-volume cross-domain data from diverse sources (events logs metrics tickets monitoring tools) into actionable intelligence for the AIOps platform.
• Incident Management & Remediation: Integrate AIOps insights with existing incident management systems providing real-time intelligence to rapidly identify diagnose and resolve IT issues leading to proactive issue resolution and reduced mean time to recovery (MTTR).
• Performance Optimization: Utilize AI insights to continuously monitor analyze and fine-tune IT systems for peak operational efficiency capacity planning and resource optimization.
• Technical Leadership & Mentorship: Provide technical leadership and mentorship to other engineers promoting architectural excellence innovation and best practices in AIOps development and operations.
• Cross-Functional Collaboration: Partner with data scientists ML engineers software engineers SREs and IT operations teams to integrate AI/ML agents into the platform and ensure AIOps solutions align with business needs and deliver measurable ROI.
• Innovation & Research: Actively research and evaluate emerging AIOps technologies generative AI LLM models ChatOps AI and advanced RAGs bringing promising innovations into production through POCs and long-term architectural evolution.

Qualifications :

Your Experience 

• 10 years of experience in software engineering reliability engineering or IT operations including at least 5 years leading the design and implementation of AIOps solutions at scale.
• Proven expertise in applying machine learning algorithms and data analysis techniques to solve complex IT operational challenges.
• Strong hands-on experience in building and maintaining scalable data pipelines and workflows for efficient data collection processing and analysis from diverse IT sources.
• Proficiency in programming languages such as Python Go Java or Scala.
• Extensive experience with cloud platforms (e.g. AWS Azure Google Cloud) and containerization technologies (e.g. Docker Kubernetes).
• Familiarity with data processing frameworks (e.g. Apache Kafka Apache Spark) and IT monitoring tools (e.g. Prometheus Grafana Datadog Splunk).
• Deep understanding of distributed systems architecture microservices and their operational challenges.
• Demonstrated ability to translate business requirements and operational pain points into technical specifications and deliver robust AIOps solutions.
• Excellent problem-solving skills and the ability to troubleshoot complex platform-related issues.
• Strong communication and interpersonal skills with a track record of influencing technical and cross-functional stakeholders.
• Bachelors or Masters degree in Computer Science Engineering or a related technical field.

Preferred Qualifications

• Masters degree or Ph.D. in Computer Science Machine Learning or a related technical field.
• Experience with agentic systems and AI agents for automation.
• Experience with DevOps practices and CI/CD pipelines in an AIOps context.
• Prior experience in cybersecurity operations or building AIOps solutions for security threat detection and response.

The Ideal Candidate: You are a highly analytical and hands-on AIOps leader who is passionate about leveraging AI to drive operational excellence and resilience. You thrive in a fast-paced environment can bridge the gap between AI development and IT operations and are committed to building intelligent self-healing systems that power a world-class digital experience.

Additional Information :

The Team

Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. Youll join the brightest minds in technology creating building and supporting tools and enabling our global teams on the front line of defense against cyberattacks.

Were connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.

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 non-sales roles) or base salary commission target (for sales/commissioned roles) is expected /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.