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 seeking an exceptional and technically grounded Senior Manager, Software Development Engineering to lead our core Data Loss Prevention (DLP) engineering team within the Zero Trust Exchange department. Based in San Jose, CA, and reporting to the Senior Director, Software Development Engineering, you will lead the architecture, design, and delivery of high-throughput, low-latency DLP engines, dictionary matching systems, and intelligent content inspection pipelines running in C across FreeBSD and Linux environments. In this role, you will balance strategic leadership with deep systems rigor, bridging deterministic inspection mechanisms with next-generation Named Entity Recognition (NER) and ML models while navigating real-time inline performance trade-offs. What you'll do (Role Expectations) - Manage, mentor, and grow a world-class team of systems software engineers and principal architects responsible for high-performance DLP engines, dictionary compilers, and distributed incident processing pipelines - Own the technical direction and engineering execution for line-rate pattern matching, regular expression evaluators, custom dictionary compilers, exact data match (EDM), and indexed document matching (IDM) running in production proxy runtimes - Guide the evaluation, operationalization, and performance boundary testing of Named Entity Recognition (NER) and ML models, balancing inspection accuracy and tokenization against strict network latency, compute complexity, and memory footprints - Maintain exacting standards for multi-threaded C daemons on FreeBSD/Linux, architecting robust shared memory structures, high-performance Inter-Process Communication (IPC), lockless concurrency, and memory-safe subsystems - Serve as the technical escalation authority for critical production issues—championing post-mortem core dump analysis, system profiling, and leak detection—while overseeing scalable DLP incident streaming, forensic logging, and enterprise SIEM/SOAR integrations Who You Are (Success Profile) - You act like an owner, bringing a deep passion for the mission and a strong bias for action that allows you to seamlessly transition between high-level strategy and hands-on execution. - You are a natural problem-solver who is energized by finding solutions to complex technical challenges, knowing that solving the hardest problems yields the greatest impact. - You are a high-trust collaborator who champions transparency, embraces constructive feedback, and prioritizes team success to build deep, respectful partnerships. - You think at scale, always connecting engineering efforts to the broader company mission and designing systems, processes, and teams built to sustain a high-growth, global organization. - You are resilient and adaptable, maintaining absolute focus in high-pressure environments and guiding your team through technical complexity with a steady, positive hand. 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 - 8+ years of experience with systems software engineering including 2+ years of leadership experience building and managing high-performing software teams, combined with a practical understanding of Named Entity Recognition (NER) models and their runtime limitations in high-throughput data paths - Advanced hands-on proficiency in C programming on Linux or FreeBSD runtime environments, with deep architectural expertise in Inter-Process Communication (IPC), shared memory architectures, and POSIX concurrency primitives - Expert-level proficiency in production troubleshooting and root-cause analysis, including post-mortem core dump analysis, GDB/LLDB debugging, Valgrind, and system-level performance tracing (eBPF or DTrace) - Deep technical domain expertise in Data Loss Prevention (DLP) technologies, including regex evaluation engines, dictionary compilers, EDM/IDM profiles, and end-to-end incident streaming and forensics pipelines What Will Make You Stand Out (Preferred Qualifications) - Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency - Experience porting, profiling, or optimizing AI/ML inference workloads, such as ONNX Runtime, TensorRT, or custom quantized NER models - Hands-on background developing inline network proxies, deep packet inspection (DPI) engines, AVX instructions, or Hyperscan - Direct experience with FreeBSD kernel internals (jails, network stack, VFS/ZFS), alongside a track record of driving automated regression testing and CI/CD pipelines for distributed systems #LI-DY1 #SanJose 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 $212,000 — $265,000 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.