Level

Netskope

Principal Engineer, DLP

AI in this role

Design and develop high-performance data loss prevention solutions utilizing advanced algorithms and machine learning models as a Principal Engineer.

cgolangpython
software-engineeringdata-securitymachine-learningdistributed-systems

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

About the role

Please note, this team is hiring across multiple levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customers' data is protected wherever it lives. Our engineers design and deliver the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using technologies including advanced algorithms, ML-based models, and AI-assisted development, while working with a talented and experienced team of software engineers in a dynamic and collaborative environment.

What's in it for you

We are looking for software engineers who are passionate about developing cutting-edge software in C++, Golang, and Python. As a Principal Engineer on the Netskope Data Security team, you will provide technical leadership and design and deliver highly effective, scalable, and high-performance software solutions for the next generation of content inspection and data protection.

What you will be doing

  • Developing software in C++, C, Golang, and Python.
  • Architecting, designing, and developing systems as part of the data security services offering.
  • Providing technical leadership for complex projects and driving solutions across multiple components.
  • Using ML models and advanced data structures and algorithms to solve challenging problems.
  • Using AI tools to assist with designing, building, testing, debugging, and troubleshooting software.
  • Delivering solutions that prevent loss of sensitive or confidential data through deep content inspection.
  • Developing highly scalable and high-performance software solutions.
  • Mentoring engineers and helping drive engineering best practices across the team.

Required skills and experience

  • 12+ years of industry experience building high-performance, scalable, and secure dataplane services.
  • Programming mastery of C++ with experience in Golang, Python, and C.
  • Strong understanding of computer architecture, including multithreading, CPU scheduling, and memory management.
  • Solid understanding of algorithms and data structures used in real-time inline data processing.
  • Experience and knowledge of TCP, SSL/TLS, HTTP, SMTP, and REST services.
  • Passion and hands-on experience developing data security solutions.
  • Hands-on experience using AI-assisted engineering tools for designing, building, debugging, testing, and troubleshooting software.
  • Strong analytical and troubleshooting skills using debuggers such as gdb and tools such as Valgrind.
  • Experience with Docker and Kubernetes.
  • Experience developing and deploying software to GCP, AWS, or Azure.
  • Experience with CI/CD using tools such as Drone, Jenkins, or similar technologies.
  • Knowledge of and solid experience with Linux, Windows, and/or macOS.
  • Strong verbal and written communication skills.
  • Demonstrated ability to provide technical leadership, mentor engineers, and drive complex technical initiatives.
  • Innovative and out-of-the-box thinking to solve challenging problems.

Education

  • BSCS or equivalent required, MSCS or equivalent strongly preferred.

#LI-SK3

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.

How we score this

Principal Engineer, DLP at Netskope scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Software EngineeringData SecurityMachine LearningDistributed SystemsCGolangPython

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where data security was part of your work. What did you do?
  3. Tell me about a project where machine learning 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 C in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Engineering, Data Security, Machine Learning, Distributed Systems, and C. 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.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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