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Cyberhaven

AI-driven data lineage for insider risk

Senior Software Engineer - Systems & Network Proxy

Systems Software EngineeringConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • At least 3 years of professional experience in systems software, networking, proxy, or security engineering, with strong depth in network interception and low-level systems.
  • A strong track record in network interception and parsing.
  • Prior work on at least one forward proxy used by security software.
  • Experience debugging, profiling, and optimizing the performance of low-level system software.
  • Proficiency in designing and implementing application architecture.
  • Experience with agile development and Scrum.
  • Ability to collaborate with a distributed cross-functional team.

Responsibilities

  • Hook or redirect outbound connections, terminate and re-establish Transport Layer Security (TLS) sessions, and apply content-aware policies in real time.
  • Add low-level collectors that trace data flows across applications, files, sockets, and pipes, feeding a unified event stream.
  • Solve performance optimization problems while monitoring hundreds of thousands of events with minimal impact on endpoint applications.
  • Design and build highly reliable code that does not impact the end-user experience.
  • Build secure-by-design hardened software that withstands real-world attacks while processing untrusted data and communicating with a backend over the internet.

About the Company

Cyberhaven

AI-driven data lineage for insider risk

Cyberhaven protects businesses from insider threats to data using AI-enabled security that tracks how data flows inside an organization. It relies on data lineage to map where data originates, where it is stored, and how it moves, so it can prevent data exfiltration anywhere in the company. The product also speeds up internal investigations by providing a complete record of events before and during an incident, helping teams understand what happened and user intent. A key feature is real-time detection of risky behavior where the system can stop a user handling important data in the moment and offer coaching to reduce future risk. The platform combines data loss prevention, insider risk management, and cloud data security in a single experience, typically offered via a subscription model. The goal is to protect sensitive data, prevent unauthorized transfers, enable faster incident understanding, and improve ongoing data security across an organization.

Company size
201-500
Company stage
Series D
Total funding
$236M
Headquarters
San Jose, CA
Founded
2015

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