Principal Site Reliability Engineer

6 days ago

bangalore, India Zscaler Full time
Job Description:
We are seeking an experienced SRE - AI/ML Engineer with a strong background in machine learning, AI-driven solutions, and cloud/SRE operations. In this role, you will design, implement, and optimize machine learning models to enhance system observability, proactive monitoring, and root cause analysis. You will collaborate with various teams to integrate AI/ML capabilities into our tooling, monitoring platforms, and decision-making processes to build a smarter, more resilient infrastructure.
Key Responsibilities
AI/ML Model Design and Implementation : Design, implement, and manage machine learning models for predicting system failures, performance degradation, and anomalies, enabling proactive and intelligent monitoring.
AI-Driven Observability : Integrate AI/ML capabilities into existing observability tools (e.g., Prometheus, Grafana, ELK Stack) to provide actionable insights, enhance anomaly detection, and enable automated responses.
Root Cause Analysis Tools : Develop AI-driven tools for intelligent debugging and root cause analysis by analyzing large volumes of logs, metrics, and traces to quickly identify issues.
Generative AI Integration : Implement generative AI models (e.g., GPT, BERT) for content generation, anomaly detection, and scenario simulations to enhance system reliability.
Chatbots and Conversational AI : Design and build conversational AI interfaces and chatbots to provide automated insights, support, and interactions for internal teams and users.
Collaboration with Data Engineering : Work closely with data engineering teams to collect, preprocess, and manage telemetry data for model training, validation, and real-time monitoring.
Model Deployment and Monitoring : Deploy machine learning models into production environments, ensuring their performance, accuracy, and reliability through continuous monitoring.
Automation and Innovation : Identify opportunities to automate incident detection and resolution mechanisms using AI/ML technologies, reducing downtime and improving system resilience.
Continuous Learning and Improvement : Stay updated with the latest trends in AI/ML and apply them to enhance observability and monitoring solutions.
Documentation and Knowledge Sharing : Maintain comprehensive documentation of AI/ML models, tools, and best practices to ensure knowledge sharing and compliance.
Required Skills and Qualifications
Experience : 8+ years of experience in SRE, AI/ML Engineering, Cloud-SRE/DevOps, with a focus on machine learning and Proactive and Intelligent Operations.
AI/ML Expertise : Proficiency in developing, training, and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
NLP and Generative AI : Experience with natural language processing (NLP) techniques and generative AI models (e.g., GPT, BERT) for content generation and chatbot development.
Programming : Strong programming skills in Python, Java, or Scala for AI/ML development and integration.
Observability Tools : Familiarity with observability tools like Prometheus, Grafana, and the ELK Stack, and experience enhancing them with AI/ML capabilities.
Data Processing : Knowledge of big data technologies (e.g., Apache Kafka, Apache Spark) and real-time data processing concepts.
Cloud Platforms : Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing AI/ML solutions.
Analytical Skills : Strong analytical skills to interpret complex data, identify patterns, and solve technical challenges.
Collaboration : Excellent verbal and written communication skills for effective collaboration with cross-functional teams and stakeholders.
Why Zscaler?
• Work with cutting-edge technology in a dynamic and innovative environment.
• Enjoy a collaborative and inclusive company culture.
• Benefit from a competitive compensation and benefits package.
• Take advantage of our commitment to continuous learning and professional development.
• Join the world’s leading Software-as-a-Service Security Platform.
• Contribute to detecting 100 million threats daily across 185+ countries.
• Experience our exceptional workplace with a Glassdoor rating of 4.7/5.0 and 98% CEO approval.

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