About the role:
We’re looking for an experienced Backend engineer to help drive and evolve our product, focusing on high-impact innovation projects as part of our Linea AI team. You will be working on cutting-edge technology and ideas and bringing AI prototypes to production. You will work closely with Labs team to operationalize and scale AI prototypes across many customers.
What you’ll do:
You'll design and optimize a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale in realtime. Instances of our product are processing billions of events from tens of thousands of endpoints in real-time with subsecond latency requirements
You'll be solving real-world scaling problems that require thorough performance analysis and troubleshooting skills
You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, Docker, Redis.
You'll write secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with tens of thousands of endpoints over the internet
You will work on the operationalization of AI prototypes to production
Who you are:
You love innovation and have an entrepreneurial mindset, eager to solve challenging real-world problems with breakthrough technology
You have a strong track record in building full-stack applications that are actively used at scale
You have experience developing large applications in Go / Python
You have 6+ years of experience with Backend development
You have production experience working with large-scale foundational models and transformer-based architecture (GenAI)
Joining Cyberhaven is a chance to revolutionize data security. Traditional tools fall short, but we’ve reimagined protection with AI-enabled data lineage that analyzes billions of workflows to understand data, detect risk, and stop threats. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, alongside experts driven to help customers protect their most valuable information.
Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Cyberhaven makes data security smarter, faster, and easier by:
- Understanding data flows: Know where data came from, how it was used, and who interacted with it – automatically with data lineage.
- Aligning protection with purpose: Allow workflows that make sense. Block only those that indicate actual risk.
- Empowering people, not punishing them: Educate in the moment, elevate awareness, and intercept risky actions without hurting productivity.
- Reducing noise for security teams: Focus on the incidents that matter, not thousands of false alarms.
- Resolving incidents faster: Rapidly understand critical issues, get concise overviews, receive actionable remediations, and access comprehensive evidence for thorough investigations.
- Simplifying management: Use one solution to manage policies, prevent data loss, and identify insider risk.
This is not another clunky, overcomplicated set of rules.
This is Reimagined DLP and Insider Threat: Data security that powers innovation.