About Zscaler
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.
Job Description:
Responsibilities/What You’ll Do:
- Support and improve the Kubernetes platform and application deployments in Cloud and OnPrem
- Automate, deploy and operate data pipelines
- Implement facilities to monitor all aspects of data pipeline
- Administer and manage data in Spark and Hadoop environments with an emphasis on automation
- Troubleshoot and address operational issues as they come up
- Develop tools to monitor workload on Hadoop cluster and tune the cluster for improving data processing throughput
- Support and improve the build, delivery, and deployment pipeline of software developed in Java, Scala and Python
- Manage and deploy applications in Azure/AWS/GCP clouds
- Maintain Packer and terraform infrastructure provisioning tools
- Support and Maintain Kafka clusters in Cloud and OnPrem
Qualifications/Your Background:
- BS in Computer Science or related field and 9+ years of relevant work experience
- Proficiency in data management and automation on Spark, Hadoop, and HDFS environments
- Proficiency in understanding various log files emitted by Hadoop and troubleshooting performance bottlenecks in the cluster
- Experience using Spark SQL
- Experience developing build and deployment automation
- Experience with any telemetry system, monitoring and alert handling
- Experience working with Kubernetes and have solid understanding of Kubernetes
- Experience in atleast one cloud provider AWS/Azure/GCP
- Experience and understanding of Infrastructure Provisioning tools like terraform and packer
Desirable:
- Experience managing distributed systems like Hadoop, Kubernetes and Kafka a big plus
- Experience with infrastructure provisioning tools like Terraform, Packer
- Experience and understanding of orchestration/configuration management tools like Chef/Ansible
- Experience in managing production systems and applications, Incident response and handling alerts
- Experience with any telemetry systems and metrics collection. E.g: Prometheus
- Previous success with technical engineering
- Coding experience beyond simple scripts. Ability to program with one or more high level language (Python/Java/Ruby/Go)
- Experience with git and CI build tools such as Gradle and Jenkins
- Experience with at least one cloud provider AWS/Azure/GCP
#LI - YK1
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.
