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 highly skilled Staff Full Stack Engineer with expertise in Large Language Models (LLMs), Generative AI, and experience in deploying Slack bots and web widgets. This role requires a strong foundation in both front-end and back-end development, combined with a deep understanding of LLMs, NLP, and cloud services. The ideal candidate will have a passion for building and integrating advanced AI solutions into enterprise-grade applications. You will be reporting to Senior Manager, Data Science. You will be responsible for:
- Develop and Integrate AI Solutions: Lead the development and integration of applications utilizing LLMs and other AI-driven services within enterprise environments.
- Full Stack Development: Design, develop, and maintain scalable front-end interfaces and robust back-end services, ensuring seamless interaction between various components.
- API Development: Design and implement APIs to facilitate communication between AI models, front-end applications, and other enterprise services.
- DevOps Practices: Implement and optimize CI/CD pipelines, ensuring efficient deployment, monitoring, and scaling of AI-driven applications in production environments.
- Deploy Slack Bots and Web Widgets: Develop, deploy, and maintain Slack bots and web widgets that integrate with AI services, enhancing user interaction and accessibility.
- Cross-Functional Collaboration: Work closely with product management, data science, and other engineering teams to deliver integrated AI solutions that meet business requirements.
- AI Model Deployment: Oversee the deployment, monitoring, and optimization of machine learning models, particularly LLMs, in a cloud-native environment.
- Innovation and Best Practices: Stay abreast of the latest advancements in AI/ML technologies and contribute to the continuous improvement of engineering best practices.
What We're Looking for (Minimum Qualifications):
- Strong experience in Natural Language Processing (NLP) and working with LLMs.
- Proficiency in both front-end technologies (e.g., React, Angular) and back-end technologies (e.g., Node.js, Python, Java).
- Deep understanding of cloud services (e.g., AWS, GCP, Azure) and their application in deploying AI models.
- Experience with DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins).
- Expertise in API design and development.
What Will Make You Stand Out (Preferred Qualifications):
- 8+ years of experience with Generative AI applications and frameworks (e.g., GPT, DALL-E)
- Experience in deploying and managing Slack bots and web widgets.
- Familiarity with AI/ML model deployment in cloud environments using frameworks like TensorFlow, PyTorch, or Hugging Face.
- Strong problem-solving and analytical skills with the ability to work in an Agile environment.
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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