Level

Zscaler

Director, Software Engineering - Common Platform Services

Zscaler is hiring a Director, Software Engineering - Common Platform Services in San Jose, United States. It pays $248k-$310k a year and Level rates it ; you can apply on Zscaler.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include AWS, Google Cloud and Salesforce.
  • Level classifies it as an executive role.
  • Level lists 351 other open roles at Zscaler.

AI in this role

Lead the Common Platform Services engineering team to deliver scalable web services and developer tooling.

awsgcpsalesforce
engineering-managementplatform-engineeringworkflow-automationdistributed-systems

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 Director, Engineering, Common Platform Services to join our team. This is a Hybrid (San Jose, CA office 3 days a week) role, reporting to the VP, Software Engineering in the Zero Trust Exchange department. Our Common Platform Services team spans across all Zscaler products, with a core focus on Zscaler Workflow Automation, Unified Authorization service, and other common services. You will play a pivotal role in delivering scalable, secure, and high-performing platforms and developer tooling to empower our engineering teams. Your focus will be on enhancing our platform’s efficiency, scalability, and developer experience while managing and growing senior technical talent.

What you’ll do (Role Expectations)

  • Lead large cross-functional teams to drive the technical roadmap, scale engineering talent, and guarantee operational execution
  • Demonstrate executive presence and strong communication skills to enable high-level leadership visibility
  • Bring transformation through the entire SDLC to modernize the team and execute a completely AI-native approach
  • Provide deep technical leadership and decision-making backed by hands-on experience with cloud technologies like AWS and GCP
  • Build enterprise-scale web service products for workflow automation and notification channels that integrate with Salesforce, AWS, and GCP

Who You Are (Success Profile)

  • You act like an owner. Your passion for the mission fuels your bias for action, allowing you to navigate seamlessly between high-level strategy and hands-on execution.
  • You are a high-trust collaborator. You are ambitious for the team and embrace a challenge culture by exchanging candid feedback with clarity and respect to build deep trust.
  • You operate with urgency. You understand that speed and quality are not mutually exclusive in a high-growth environment, keeping a relentless focus on high-impact execution.
  • You champion simplicity. You are highly skilled at distilling complex technical problems and user needs into clear, simple, and actionable plans.
  • You are data-driven. You consistently use data and analytics to find the truth, valuing evidence over assumptions to drive optimal outcomes.

What We’re Looking for (Minimum Qualifications)

  • Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
  • 15+ years of software engineering experience, including 10+ years of technical people management and product/service delivery experience across public and private clouds
  • U.S. citizenship due to the nature of the customers assigned to this role
  • Strong technical leadership in building products with hyperscalers like AWS or GCP
  • Extensive experience building cloud services engineered for massive scale and resiliency

What Will Make You Stand Out (Preferred Qualifications)

  • Exceptional organizational leadership capabilities and communication skills tailored for executive visibility
  • Deep product domain experience in security, networking, or enterprise workflow software like ServiceNow
  • Proven ability to guide engineering teams through a comprehensive technical transformation journey using AI tooling

#LI-AJ1 #LI-Hybrid

Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range$248,000—$310,000 USD

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.

How we rate this

Director, Software Engineering - Common Platform Services at Zscaler rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Engineering ManagementPlatform EngineeringWorkflow AutomationDistributed SystemsAWSGoogle CloudSalesforce

Questions you could be asked

  1. Tell me about a project where engineering management was part of your work. What did you do?
  2. Tell me about a project where platform engineering was part of your work. What did you do?
  3. Tell me about a project where workflow automation was part of your work. What did you do?
  4. Tell me about a project where distributed systems was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Engineering Management, Platform Engineering, Workflow Automation, Distributed Systems, and AWS. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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