Senior DevOps Engineer - (Kubernetes I Automation on Spark I Hadoop I HDFS environments)
Bengaluru, India
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.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
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs