Sr. Software Engineer, DAPII

**About the role** *Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.* Netskope Cloud Data Plane engineers architect and design one of the most scalable, high-performance cloud data planes in the world, processing 10+ Gbps of traffic, performing deep inspection using state-of-the-art techniques like AI/ML to detect activities and apply advanced policies like DLP, Threat and UEBA protection, all at line rate. **What’s in it for you** In this role you will be a key member of the[ Secure Web Gateway](https://www.netskope.com/products/next-gen-swg) team supporting our in-line CASB and SWG products, both of which have been recognized by Gartner as market leaders in their Magic Quadrant reports: [Netskope SWG in Gartner 2023 SSE Magic Quadrant](https://www.netskope.com/why-netskope/gartner-swg-magic-quadrant) [Netskope CASB in Gartner 2023 SSE Magic Quadrant](https://www.netskope.com/why-netskope/gartner-casb-magic-quadrant) **Key Responsibilities** - Design, develop, and analyze features for the cloud data plane. - Utilize advanced data structures and algorithms in C, C++, Go and Python to optimize performance. - Perform real-time content analysis to ensure robust security measures. - Conduct deep inspection of traffic to detect and mitigate threats in near real-time. - Develop and implement DLP and threat protection solutions. - Create sophisticated key management algorithms to enhance data security. - Write and maintain product or system development code, ensuring high standards of quality. - Write 100% of code, unit tests, and test automation using AI coding tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar), driving measurable gains in velocity, coverage, and quality. - Use AI tools efficiently across the entire SDLC — requirements refinement, design exploration, implementation, debugging, code review, test generation, documentation, and CI/CD automation. - Critically evaluate AI-generated code and tests for correctness, security, performance, and maintainability, upholding the same quality bar as hand-written code. - Continuously evaluate emerging AI tools and agentic workflows, and drive their adoption across the team to improve engineering productivity. - Develop and maintain comprehensive documentation for software design, implementation, and processes. - Build and maintain services capable of inspecting various network protocols, such as HTTP, at line rate. - Review and provide feedback on code developed by other team members to ensure adherence to best practices, including style guidelines, code accuracy, testability, and efficiency. - Contribute to the architecture and design of distributed systems, focusing on scalability, reliability, and efficiency. - Through understanding of the SDLC process. - Collaborate with cross-functional teams, including software engineers, system architects, and product managers, to deliver high-quality software solutions. **Required skills and experience** - 7-10 years of industry experience building high-performance data plane services. - AI-native developer: proven track record of writing 100% of production code, unit tests (UT), and automation using AI tools — hands-on expertise with AI coding agents and assistants such as Claude Code, GitHub Copilot, Cursor, or similar. - Well-versed with the AI tooling landscape and its efficient usage across the SDLC — effective prompting and context management, agentic workflows, AI-assisted debugging, code review, and test generation. - Ability to validate AI-generated output for correctness, security, and performance — essential when building a security product. - Proven expertise in network and web security technologies (firewalls, web security, IDP/IPS, DNS-based security, etc.). - In-depth knowledge of **IP**, **TCP, TLS, HTTP** and Web Socket protocols is essential. - Significant experience with **HTTP** Proxy. - In-depth knowledge of tunnelling protocols like **GRE, IPSec, SSL, VxLAN** is essential. - Programming mastery in **C/C++,** Go and **Python**. - Strong expertise in RESTful Web Service, Data Yang Modelling. - Expertise in message protocols like KAFKA, NATS, gRPC etc. - Expertise in capturing the packets using Wireshark, tcpdump etc. and analyzing the packets captured. - Strong expertise in cloud technologies like **Docker, Kubernetes, Helm etc**. - Strong understanding of computer architecture, including multi-threading, CPU scheduling, and memory management. - Advanced understanding of algorithms and data structures for real-time in-line data processing. - Extensive knowledge of Linux at a systems level. - Exceptional analytical and troubleshooting skills, proficient in using debuggers like gdb and tools like Valgrind. - Advocate of Test-Driven Development (TDD), with comprehensive knowledge of various unit testing frameworks. - Demonstrated ability to lead and mentor engineering teams, providing technical guidance and fostering a culture of continuous improvement. - Experience with performance optimization and scalability of complex systems. - Excellent communication and collaboration skills, capable of working effectively with cross-functional teams and stakeholders. **Education** - BSCS or equivalent required, MSCS or equivalent strongly preferred #LI-JB3