Senior DevOps Engineer - (Kubernetes I Automation on Spark I Hadoop I HDFS environments)

Bengaluru, India

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Zscaler

Zscaler is the leader in cybersecurity and zero trust digital transformation. Transform your IT and security needs with the best CASB and SASE solutions.

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Company Description

Zscaler is one of the most exciting technology companies around. Our mission is simple - it is to revolutionize Internet security through the magic of cloud computing. We are the leading, most innovative firm in a $35 billion market - security – and our passion is to bring cloud computing to Internet security just like Salesforce.com did to CRM. More than 5,000 organizations around the world are already using Zscaler - including amazing brands like General Electric, Nestle, NBC, and NATO - and more than 13 million people across more than 200 countries are protected by our systems every single day.

We are a well-funded Software as a Service company and are growing extremely fast, which means incredible career and growth opportunities for passionate and talented people that are ambitious and driven to be the best. We’ll offer you an opportunity to make a difference, and you will get to work in a fun, fast paced environment where you can excel at what you do and create.

Job Description

  • 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

  •     BS in Computer Science or related field and 5+ 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

Additional Information

Why Zscaler?

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.

 

Why Zscaler?

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 accommodations@zscaler.com.   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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Ansible AWS Azure Computer Science Data management Data pipelines DevOps Distributed Systems Engineering Excel GCP Git Hadoop HDFS Java Kafka Kubernetes Pipelines Python Ruby Salesforce Scala Security Spark SQL Terraform

Perks/benefits: Startup environment

Region: Asia/Pacific
Country: India
Job stats:  9  1  0
Category: Engineering Jobs

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