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Salary: USD 212,000 - 265,000 / annual
Zscaler is seeking a Senior Manager, Software Development Engineering to lead the Data Loss Prevention (DLP) engineering team within the Zero Trust Exchange department. Based in San Jose, CA, you will report to the Senior Director of Software Development Engineering and be responsible for 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.
You will manage and mentor a world-class team of systems software engineers and principal architects responsible for high-performance DLP engines, dictionary compilers, and distributed incident processing pipelines. You will 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.
Key responsibilities include guiding 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. You will 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.
You will 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.
Zscaler's Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. The company is building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world's hardest security challenges.
**Requirements:**
- 8+ years of systems software engineering experience, including 2+ years of leadership experience building and managing high-performing software teams
- 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
- 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
- Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
**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
