Position - Senior Backend EngineerLocation - San Jose, CA We are seeking a Backend Engineer with a strong foundation in AWS, cloud service deployment, and machine learning (ML) model deployment, including large language models (LLMs). This role requires a blend of expertise in cloud computing, backend development, and machine learning technologies to support Zscaler's cutting-edge cloud-native platform.Responsibilities/What You’ll Do:- Develop and deploy scalable, high-availability cloud services and applications, emphasizing AWS, GCP, Azure, Snowflake, etc.- Implement and manage the deployment of machine learning models, with a focus on efficiency and scalability.- Design and maintain ML service infrastructure, including data pipelines, model training orchestration, and monitoring systems.- Work closely with cross-functional teams to design, develop, and optimize backend solutions that meet business requirements.- Ensure system reliability, security, and performance through robust engineering practices.- Improve, and implement data engineering & analytics engineering best practices. Expert in CICD pipelines, able to mentor and guide others to adoption and use.- Collaborate with Data Engineering, Analytic engineering & BI teams and perform complex data analysis to design physical data models and mappings from business requirements.- Hands-on in designing & developing key initiative data pipelines to integrate various applications using supported APIs & model the data in cloud data warehouse to support the reporting requirements.- Perform code reviews, manage code performance improvements, and teach standards for code maintainability.- Propose ideas to improve the scale, performance, and capabilities of the Data PlatformQualifications/Your Background:- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.- 5+ years of experience in backend development, with extensive knowledge in cloud services deployment.- Demonstrated experience with AWS, GCP, Azure, Snowflake or Databricks and familiarity with Docker and Kubernetes.- Strong hands-on experience in modern data stack tools like Matillion, DBT- Completely proficient in advanced SQL, Python/Snowpark/PySpark/Scala (any Object Oriented language Concepts), ML libraries.- Must have hands-on experience in Python to extract data from APIs, build data pipelines.- Proficiency in programming languages such as Python, Java, or Node.js, and experience with machine learning frameworks like PyTorch and TensorFlow.- Experience in deploying and managing machine learning models in production environments.- Strong problem-solving skills, with the ability to work independently in a fast-paced Agile environment.Desired Skills:- Experience in algorithm model engineering, AI product implementation, LLM, image generation, etc., is preferred.- Extensive experience working with Python and Streamlit.- Proficiency in building data pipelines to integrate business applications (salesforce, Netsuite, Google Analytics etc) with Snowflake#LI-YC2
