We’re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. You’ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, you’ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale.
What you’ll doDesign and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents.
Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data.
Build and optimize distributed services that process large volumes of data with high performance and reliability.
Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker.
Write secure, production-ready code and troubleshoot complex performance and scalability challenges.
Collaborate with engineering teams to contribute to technical design and architecture decisions.
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.
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.
Skills Required
- 5-8 years of industry experience building high-scale security products
- Experience developing distributed applications for public clouds or SaaS applications
- Experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs
- Extensive experience developing enterprise-scale applications in Go, Python, Java, or Rust
- Experience profiling and optimizing distributed code interacting with large databases and streaming platforms
- Experience designing and implementing RESTful APIs
- Hands-on knowledge of microservices and Kubernetes
- Excellent verbal and written communication skills in English
- Experience in data security
- Experience building AI agents, agentic applications, or AI-agent security solutions
- Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data
- Familiarity with GCP Bigtable, BigQuery, Neo4j, or AWS Neptune
Cyberhaven Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cyberhaven and has not been reviewed or approved by Cyberhaven.
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Leave & Time Off Breadth — Time off is described as flexible or “unlimited,” with paid holidays and sick time, alongside remote‑friendly scheduling.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans via major carriers, with mentions of mental‑health resources, wellness days, and even pet insurance in some listings.
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Wellbeing & Lifestyle Benefits — Perks include monthly phone/internet stipends and home‑office support, plus professional development opportunities such as mentorship, conferences, and employee awards.
Cyberhaven Insights
What We Do
Cyberhaven was founded by computer scientists and security experts from MIT and EPFL to rethink data security. Instead of stopping threats at the perimeter, we trace the full lineage of sensitive data, where it originates, how it moves, and who uses it. This breakthrough became the foundation of our data lineage platform, now powering Cyberhaven’s leadership in data detection and response and protecting enterprises from insider threats and data loss. Our Data Detection and Response solution transforms how enterprises protect their data with a unique technology called data lineage. Cyberhaven records every event for every piece of data – every move, copy, edit, and share to fully understand how data moves throughout your company. We developed an architecture that achieves complete visibility of your data, including as it transits unmanaged cloud apps and unmanaged devices. As data moves throughout your company, from person to person and application to application, it fragments and gets combined with other data. We calculate the lineage for every piece of data starting with its origin through every step it takes. Our product allows you to define what is risky for your organization, enforce actions to protect data, and educate your workforce in real time.
Why Work With Us
Cyberhaven is a Series D unicorn in AI-driven data security, protecting 300+ customers like Motorola, Reddit, and Snowflake. We solve next-gen DLP by tracing full data lineage and enabling real-time insights. As a value-driven company with remote and hybrid work, you’ll grow alongside bold thinkers, making real impact.
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