Zscaler
About this role
Zscaler runs a cloud native zero trust security platform, and this is the data loss prevention support engineering seat inside it. It is worth comparing with the Escalation Engineer DLP role the company also has open: this one asks for 6 or more years with at least 4 focused on DLP, where the escalation version asks 8 with at least 5 on DLP. So if the escalation role looked out of reach, this is the same specialism a level below. The work is advanced troubleshooting on DLP and CASB issues for enterprise customers, root cause analysis, and working with engineering to get product level fixes. The domain requirements are specific: data loss prevention, securing SaaS, and Cloud Access Security Brokers, plus practical AWS, Azure or GCP knowledge and a strong grasp of Unix, Linux and Windows. Zscaler describes itself as an AI forward enterprise and puts AI familiarity first in its requirement list.
Who this is for
What the posting requires as minimum qualifications:
- A minimum of 6+ years of experience in technical support, with at least 4 years focused on DLP and CASB solutions.
- A foundational understanding of AI and ML technologies, and experience leveraging, securing or positioning AI driven solutions within your functional domain. Zscaler lists this first.
- Experience with data loss prevention, securing SaaS, and Cloud Access Security Brokers.
- Practical working knowledge of AWS, Azure or GCP cloud environments, paired with a strong understanding of Unix, Linux and Windows operating systems.
- Deep understanding of data protection principles and practices.
Preferred qualifications:
- Experience deploying or supporting AI powered sensitive data discovery tools or automated data classification models to enhance DLP capabilities.
- Experience with scripting and automation using Python or PowerShell.
- Knowledge of regulatory requirements and compliance standards such as GDPR, HIPAA or PCI DSS.
What the work actually looks like:
- Provide advanced troubleshooting and resolution for complex DLP issues raised by enterprise customers.
- Perform root cause analysis to identify underlying problems and implement lasting solutions.
- Work with product development, engineering and other cross functional teams to resolve issues and improve Zscaler's DLP products.
- Maintain clear and proactive customer communication through the support process.
How this compares to the neighbouring role: Zscaler also lists an Escalation Engineer DLP requiring 8+ years with at least 5 on DLP. Same specialism, one level up. If you sit between 6 and 8 years this posting is the better fit, and the escalation one is a natural next step.
Location and working pattern: Bangalore or Mohali. Zscaler's DLP postings are described as hybrid roles based in those offices, reporting into Product Support.
What Zscaler says about its culture: impact over activity, constructive and honest debate, customer obsession, ownership and accountability, with an emphasis on using AI to amplify individual impact.
Honest fit guidance: the 4 years specifically on DLP and CASB is the filter, not the 6 years overall. General cloud support experience will not clear it. Support engineering at this tier is genuinely technical work with direct engineering contact, but be clear eyed that it is a support function with the customer communication load that implies.
- A minimum of 6+ years of experience in technical support, with at least 4 years focused on DLP and CASB solutions.
- A foundational understanding of AI and ML technologies, and experience leveraging, securing or positioning AI driven solutions within your functional domain. Zscaler lists this first.
- Experience with data loss prevention, securing SaaS, and Cloud Access Security Brokers.
- Practical working knowledge of AWS, Azure or GCP cloud environments, paired with a strong understanding of Unix, Linux and Windows operating systems.
- Deep understanding of data protection principles and practices.
Preferred qualifications:
- Experience deploying or supporting AI powered sensitive data discovery tools or automated data classification models to enhance DLP capabilities.
- Experience with scripting and automation using Python or PowerShell.
- Knowledge of regulatory requirements and compliance standards such as GDPR, HIPAA or PCI DSS.
What the work actually looks like:
- Provide advanced troubleshooting and resolution for complex DLP issues raised by enterprise customers.
- Perform root cause analysis to identify underlying problems and implement lasting solutions.
- Work with product development, engineering and other cross functional teams to resolve issues and improve Zscaler's DLP products.
- Maintain clear and proactive customer communication through the support process.
How this compares to the neighbouring role: Zscaler also lists an Escalation Engineer DLP requiring 8+ years with at least 5 on DLP. Same specialism, one level up. If you sit between 6 and 8 years this posting is the better fit, and the escalation one is a natural next step.
Location and working pattern: Bangalore or Mohali. Zscaler's DLP postings are described as hybrid roles based in those offices, reporting into Product Support.
What Zscaler says about its culture: impact over activity, constructive and honest debate, customer obsession, ownership and accountability, with an emphasis on using AI to amplify individual impact.
Honest fit guidance: the 4 years specifically on DLP and CASB is the filter, not the 6 years overall. General cloud support experience will not clear it. Support engineering at this tier is genuinely technical work with direct engineering contact, but be clear eyed that it is a support function with the customer communication load that implies.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.