Palo Alto Director Software Engineering AI Ops 

United States, California 

337492148

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact:

• Lead the strategic direction, architecture, and development of our end-to-end AIOps platform, encompassing data ingestion, processing, storage, and intelligent alerting.
• Oversee the design, implementation, and optimization of robust, scalable data pipelines capable of handling high-volume telemetry, logs, metrics, and event data.
• Drive the evolution of our AIOps data platform, ensuring efficient data collection, resilient storage solutions, and advanced ETL processes to generate aggregated, normalized, and actionable insights.
• Champion the development of our intelligent alerting infrastructure, including the creation and deployment of rule-based, statistical, and advanced machine learning-driven anomaly detection algorithms.
• Collaborate intimately with internal stakeholders and external customers to deeply understand their operational challenges, ensuring the alert generation system produces highly valuable, meaningful, and low-noise actionable insights.
• Build, mentor, and grow high-performing teams of software engineers, data engineers, and machine learning engineers, fostering a culture of technical excellence, innovation, and continuous improvement.
• Partner closely with Product Management, SRE, and other cross-functional engineering teams to define roadmaps, gather requirements, and ensure seamless delivery of features.
• Ensure the scalability, reliability, security, and performance of the AIOps platform across various deployment environments (e.g., cloud, on-premise).
• Actively participate in roadmap discussions, technical reviews, and strategic planning, aligning technical initiatives with overall business objectives.
• Drive best practices in software development, data governance, MLOps, and operational excellence.

Your Experience

• MS/BS in Computer Science, Electrical Engineering, or a related technical field.
• 15+ years of progressive experience in software engineering, with at least 10+ years in a leadership/management role (Director level preferred), specifically focused on data platforms, distributed systems, or AIOps.
• Proven expertise in leading the design and development of large-scale, high-performance data pipelines and data processing systems.
• Deep understanding and hands-on experience with scalable data storage solutions (e.g., time-series databases like Prometheus/InfluxDB, columnar databases like ClickHouse, distributed NoSQL stores like Cassandra/Elasticsearch).
• Strong background in developing and operationalizing anomaly detection algorithms, statistical models, and machine learning solutions for operational data.
• Experience working directly with customers to understand their needs, translate requirements into technical solutions, and drive adoption of intelligent systems.
• A strong customer-centric mindset with a proven ability to deliver highly valuable solutions that reduce operational noise and provide clear insights.
• Proficiency in relevant programming languages such as Python, Java, Go, Scala, or similar.
• Extensive experience with cloud platforms (AWS, Azure, GCP) and container orchestration technologies (e.g., Kubernetes).
• Exceptional leadership, team-building, and mentoring skills, with a track record of attracting and retaining top engineering talent.
• Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
• Strategic thinker with a pragmatic approach to problem-solving and a strong bias for action.
• Ability to thrive in a fast-paced, dynamic environment, balancing innovation with operational stability.

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 to be between $305,000/YR - $320,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.