Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances.
Zscaler 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. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.
Design and implement secure, scalable, high-performance and robust data services in distributed data processing platforms using modern Big Data technologies.
Maintain and enhance a platform to collect and ingest several billion (and growing) log events from our globally distributed cloud infrastructure and provide actionable insights and visibility to our customers and researchers.
Design, extend, and review data architecture, model, flow, and integration – be hands on and involved with every stage of the software development life cycle.
Partner with software engineers and data scientists to meet the need of upstream and downstream dependencies.
Develop state of the art code – influence/establish the software development culture of the team. Establish standards and best practice for software engineering.
Keep up to date with the evolving Big Data technology, share the knowledge across the organization by enabling best practices, standards, governed processes and relevant technologies.
Participate in agile/iterative development cycles with emphasis on code quality, supportability, scalability, and performance.
Location : Hyderabad Only
Strong working knowledge of Apache Spark and Delta Lake for reliable data lakes.
Expert level coding with Python
Experience with GraphDB or other graph databases.
Demonstrable experience in building large language models such as GPT-3 or GPT-4, including tuning and optimizing such models.
Strong background in data science, including expertise in Python or other relevant programming languages.
Proficient understanding of machine learning principles and capable of implementing common machine learning algorithms.
Experience with machine learning frameworks like TensorFlow, PyTorch, etc.
Good understanding of Natural Language Processing (NLP) techniques.
Strong problem-solving abilities and analytical skills.
Familiarity with cloud computing platforms such as AWS, GCP, or Azure.
Knowledge of Java, Microservices and APIs.
Knowledge of pipeline orchestration tools like Kubeflow, Airflow or others
Experience with data visualization tools and techniques.
Familiarity with advanced machine learning concepts like reinforcement learnand deep learning
Exposure to managing or working in cross-functional teams.
Understanding of ZTNA
People who excel at Zscaler are smart, motivated and share our values. Ask yourself: Do you want to team with the best talent in the industry? Do you want to work on disruptive technology? Do you thrive in a fluid work environment? Do you appreciate a company culture that enables individual and group success and celebrates achievement? If you said yes, we’d love to talk to you about joining our award-winning team.
Additional information about Zscaler (NASDAQ: ZS ) is available at https://www.zscaler.com.
Zscaler is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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. If you need support, please contact us by sending an email to [email protected]. This email address is used specifically for accommodation requests only, and resumes, CV's, or questions other than accommodations will not be replied to or accepted.