Staff/Principal Software Engineer (AI Security)

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Cyberhaven is redefining data security by tracing how sensitive data actually moves across endpoints, cloud, SaaS, and now AI tools and agents. Our AI Security team builds the backend systems that give enterprises real-time visibility and control over how their data flows into and out of LLMs, GenAI applications, and autonomous agents. We're looking for a Staff/Principal Backend Software Engineer to be one of the most senior technical voices on this team: an early contributor with substantial influence over the architecture of a new and rapidly evolving product line, solving multiple exciting technical challenges along the way

Чем предстоит заниматься

Architect, extend, and optimize a large-scale, highly scalable, fault-tolerant system that handles large graph datasets at enterprise scale processing billions of AI-related events from hundreds of thousands of endpoints in real time, with sub-second latency requirements

Set technical direction for how Cyberhaven secures data flowing into and out of AI models, GenAI applications, and agents, shaping architecture decisions that will define this product line for years to come

Architect and implement security features that protect customer data end-to-end

Solve real-world scaling problems that require thorough performance analysis and troubleshooting

Work with a modern, constantly evolving microservices based stack including Go, Kubernetes, BigTable, BigQuery, Spanner, Redis, Docker, and Etcd

Design and build connectors that integrate at the API level with SaaS and AI platforms commonly used in the enterprise (e.g. ChatGPT, Copilot, and other GenAI tools)

Write secure-by-design, hardened software that withstands real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet

Raise the technical bar across the team through architecture reviews, mentorship of senior/staff engineers, and setting patterns others follow

Наши требования

You have a strong track record building backends that are actively used at scale, and you've contributed significantly to and extended their architecture, not just shipped features

You have deep, hands-on experience developing large applications in Go

You've operated databases at very large scale. Knowledge of GCP services (BigTable, BigQuery, Spanner) is a plus

You have experience profiling and optimizing distributed code that uses large databases and streaming platforms

Experience building connectors that integrate at the API level with SaaS applications commonly used in the enterprise is a plus, especially with AI/LLM platforms

You have hands-on production experience with microservices and Kubernetes

You have excellent verbal and written communication skills in English, and can be available to frequently communicate with distributed teams in Europe and the US

You thrive in fast-paced environments tackling ambiguous challenges, and you enjoy shipping with velocity

You have a customer-centric mindset and enjoy direct feedback from customers

You are based in India or the EU

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