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Zscaler

Zscaler - Principal Software Development Engineer

San Jose, California, USA - Hybrid$182k - $260k+ Equity5d ago
In OfficePrincipalNAArtificial IntelligenceSoftwarePrincipalPrincipal EngineerRustC++LinuxGitKubernetes

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Requirements

• Drive the mission with an owner's mindset, seamlessly bridging high-level strategy and detailed, hands-on execution. • Actively seek challenges and find complex solutions that deliver maximum impact. • Deeply empathize with internal and external stakeholders, anchoring every decision in addressing their real-world problems. • Maintain strong technical curiosity, continually seeking more secure, scalable, and effective methods to accelerate transformation. • Connect your work to the company's broader mission, designing solutions to support high-growth, global organizational needs. • 12+ years of software engineering experience • Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std. • Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems. • Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces. • Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines. • Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization. • Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization. • Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS). • Direct experience in validating AI-driven products, including understanding of model performance metrics and MLOps principles. • #LI-BH1#LI-Hybrid • #LI-BH1#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. • $182,000 - $260,000 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 Future of Work strategy, 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.

Responsibilities

• Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture. • Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols. • Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure. • Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components. • Contribute actively to the team through technical documentation, system design reviews, code reviews, and by mentoring junior engineering staff.Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams.

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