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 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.
We are looking for an experienced SRE - Data Reliability Engineer with a background in data engineering and real-time data processing to join our SRE Platform and Tooling team. You will be reporting to Senior Director, you'll be responsible for:
- You will design data pipelines, observability platforms, and cloud data solutions that enhance system reliability, performance, and scalability.
- You will collaborate with multiple teams to ensure data support for Tools Building, monitoring, AI/ML processes.
Job Location - Bangalore / Hyderabad / Mohali
What We're Looking for (Minimum Qualifications)
- Must have 8+ years of experience in Data Engineering, Cloud-SRE/DevOps/System Engineering, with a focus on real-time data processing and observability.
- Programming skills in Python, Java, Go or Scala for data engineering tasks.
- Expertise in building and maintaining data pipelines using tools like Apache Kafka, Apache Flink, or Apache Spark.
- Experience with big data technologies such as Apache Hadoop, Apache HBase, or cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).
- Proficiency in data visualization tools like Power BI, Tableau, and Grafana for creating dashboards and reports.
- Knowledge of SQL and NoSQL databases such as PostgreSQL, MongoDB, or Cassandra for data querying and management.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing data infrastructure.
- Understanding of real-time data streaming and processing concepts and technologies.
What Will Make You Stand Out (Preferred Qualifications)
- Design, manage scalable data pipelines to process and enrich telemetry data from multiple infrastructure sources using streaming systems like Apache Kafka, Apache Flink, or Apache Spark.
- Develop solutions for ingesting, processing, and enriching real-time data streams to ensure and accurate insights into system performance.
- Manage data storage solutions using big data technologies or cloud storage platforms such as AWS S3, Azure Blob Storage, or Google Cloud Storage ( or any On-prem, Cloud Data Store Solutions )
- Create interactive and insightful dashboards using tools like Power BI, Tableau, and Grafana to visualize system metrics, logs, and performance data.
- Work with SRE, software engineering, and product teams to understand monitoring requirements and provide observability solutions and Tool Building around it.
- Analyse and improve data pipelines and storage solutions to scalability, and reliability.
- Identify opportunities for improving observability and monitoring processes through automation and the use of new technologies.
- Collaborate with Multiple partner teams to guide right Tooling strategy and Develop data management or SRE/Cloud
- Collaborate with AI/ML, Cloud, and Product teams to provide data support for model training and analytics-driven insights.
- Maintain comprehensive documentation of data engineering processes, observability tools, and best practices to ensure knowledge sharing and compliance.
- Advocate for and implement best practices in data reliability engineering and contribute to a culture of learning and improvement.
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:
- Multiple health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
#LI-Hybrid
#LI-SK3
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.
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