About Zscaler

Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.

Our Information Technology teams help to support and scale our great company. Whether striving to grow our workforce, nurture an amazing culture and work environment, support our financial and legal operations, or maintain our global infrastructure, the IT team provides a foundation for growth. Put your passion and expertise to work with the world's cloud security leader.

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. You will be reporting to Senior Manager, Data Science. You will be responsible for:

Develop and deploy scalable, high-availability cloud services and applications, emphasizing AWS, GCP, Azure, Snowflake, etc.
Implement and manage 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 Platform

What We're Looking for (Minimum Qualifications):

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.

What Will Make You Stand Out (Preferred Qualifications):

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

At Zscaler, we believe that diversity drives innovation, productivity, and success. We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure. We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs. For more information on our commitments to DEIB, visit the Corporate Responsibility page of our website.

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

Multiple health plans
A flexible time off policy
Hybrid Working Model
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!

#LI-Hybrid

#LI-NT1

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.

Zscaler is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all of our employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws.

See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.

Pay Transparency

Zscaler complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here.

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Senior Backend Engineer (Cloud Services & Machine Learning Deployment)

What We're Looking for (Minimum Qualifications):

What Will Make You Stand Out (Preferred Qualifications):

Apply for this Job