- You have 5+ years of software engineering experience building scalable backend systems and distributed applications.
- You have experience developing cloud-native or SaaS applications, preferably in security or data protection.
- You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP.
- You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs.
- You have strong programming skills in Go, Python, Java, or Rust, with Go preferred.
- You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms.
- You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases.
- You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions.
- You communicate effectively and collaborate well with distributed teams.
Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. 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, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.
AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.