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Vacancy description

Staff Detection Analyst in Pune, भारत

Zscaler

  • HybridMix of office and remote
  • On-siteWork from the office
  • Full-timeStandard weekly hours
  • ContractFixed-term or freelance

Pune, भारत

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.

We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.

Role

We are looking for a Staff Detection Analyst to join our team. This is a Hybrid (Pune, India) role, reporting to the Manager in the Detection Analysis department. You will utilize our detection platform to analyze EDR telemetry, alerts, and log sources across several detection domains including Endpoint, Identity, Network, and Cloud to publish threats for our Managed Detection and Response customers. Additionally, you will ensure our customers receive high-fidelity threat analysis and concisely written communication regarding emerging threats at scale.

What you’ll do (Role Expectations)

  • Analyze EDR telemetry, alerts, and log sources across several detection domains including Endpoint, Identity, Network, and Cloud/SaaS

  • Publish threats for customers using concisely written communication to effectively convey key indicators and remediation context

  • Actively engage with the Detection Operations team to challenge the status quo for detecting adversarial behavior

Who You Are (Success Profile)

  • Analyze telemetry, alerts, and log sources across Endpoint, Identity, Network, and Cloud/SaaS domains to detect critical threats.

  • Publish concise threat communications for customers that clearly articulate key indicators and remediation context.

  • Scale Detection Operations by implementing orchestration and automation workflows to manage high-volume telemetry.

  • Resolve complex operational blockers through autonomous troubleshooting and close collaboration with Detection Engineers.

  • Lead analyst teams as an emerging threat subject matter expert while mentoring junior staff to accelerate technical growth.

What We’re Looking for (Minimum Qualifications)

  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain

  • Strong experience in Endpoint (EDR) and one or more functional areas including Cloud/SaaS, Identity, Email, or Network detection domains

  • Experience with devops workflows

  • Demonstrated experience with common scripting languages such as python, Ruby, and PowerShell

  • Expertise using query languages and understanding syntax across EDR or other security platforms such as SQL or Lucene

  • Awareness of the current attack landscape (current threats, attack techniques, and vulnerabilities)

What Will Make You Stand Out (Preferred Qualifications)

  • Practical experience applying AI-driven tools or automated workflows to accelerate threat detection and security engineering

  • Previous professional experience in a Red Team or offensive security capacity and familiarity with MITRE ATT&CK TTPs

  • Knowledge of automation workflows and their application in a Security Operations Center (SOC) environment

#LI-Hybrid #LI-GL2

At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.

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:

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!

Learn more about Zscaler's hybrid working model and benefits  here .

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 committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered 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 characteristic 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.

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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