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, which is found in our SASE and SSE offerings, 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 Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We're looking for an experienced Machine Learning Software Development Engineer to join our Engineering team. Reporting to the Senior Director, Machine Learning Engineering, you'll be responsible for:
- Leading the identification and resolution of performance issues by developing models that pinpoint root causes of poor experience and detect performance bottlenecks
- Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points
- Implementing AI/ML algorithms to detect and forecast anomalies in user performance data across multiple dimensions
- Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments
- Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders
What We're Looking for (Minimum Qualifications)
- Must have 3+ years of experience as a Software Engineer or ML platform engineer
- Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks
- 7+ years of experience in Python and SQL
- Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets
- Experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow
What Will Make You Stand Out (Preferred Qualifications)
- Network troubleshooting using tools like traceroute and understanding of various protocols such as HTTP, TCP, ICMP is highly advantageous
- Familiarity with Generative AI and NLP techniques
- Familiarity with networking and systems observability
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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 Diversity, Equity, Inclusion, and Belonging, 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:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
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.
Zscaler Bengaluru, Karnataka, IND Office
Corporate Office: Bangalore, #101 Shreshtha Bhoomi, No.87, 1st Floor, K.R. Road, Bengaluru, India, 560 004
