AI Automation & Tooling Engineer
full-time•Bengaluru
About this role
About the Role
Cyberhaven’s lineage technology tracks billions of data events. Your mission is to build the service layer that wraps this data in an agentic framework. You will create tools that allow our "Professional Services" to scale by deploying fleets of AI agents that can:
Conduct Autonomous Audits: Automatically map a customer's data flow and identify "Shadow AI" or high-risk data egress points.
Generate Intelligence-Driven Policies: Move beyond static templates to provide custom, context-aware security recommendations.
Diagnose at Lineage-Speed: Build "Diagnostic Agents" that can trace a single file's journey through months of history to explain a breach in seconds.
What You’ll Do
Build the "Service-as-a-Software" Layer: Develop the backend services that enable AI agents to perform complex, multi-step tasks traditionally handled by security consultants.
AI Agents: Implement AI agents that will leverage product data to build tools and recommendations.
Data Integration (BigQuery): Write high-performance SQL and data-extraction logic in BigQuery to feed agents the rich, structured context they need from our massive lineage datasets.
API-First Integration: Design and consume robust RESTful APIs that connect our core platform to LLM providers (Glean) and downstream customer workflows.
Automated Diagnostics: Create the logic for "Reasoning Loops" where agents can query BigQuery, interpret security logs, and output a human-readable diagnosis of complex data security issues.
Who You Are
1. Scripting & Agentic Development
Advanced Python/Go: Deep experience in building services.
Agent Frameworks: Familiarity with building "Agentic" workflows (handling state, long-term memory, and tool-use) rather than just simple "Chat" interfaces.
2. Big Data & Analytics (BigQuery)
Complex SQL: Ability to join and analyze high-cardinality datasets. You should be comfortable optimizing queries that touch billions of rows of lineage data.
Data Modeling: Experience structuring data specifically for LLM consumption (e.g., creating efficient RAG embeddings or JSON-based context windows).
3. API & System Integration
RESTful Architecture: Experience using rest apis to build agentic services
Integration Ecosystems: Familiarity with integrating security tools (SIEM/SOAR) via APIs to close the loop from "Recommendation" to "Enforcement."
4. Leveraging AI via APIs
LLM Orchestration: Mastery of leveraging LLMs via API, including advanced prompt engineering, structured output (JSON mode), and managing token/latency trade-offs.
Guardrails & Validation: Experience building "verification" layers where a second agent or a deterministic script validates the primary agent's recommendations before they are presented to a customer.
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.
What you'll do
- You will build the service layer that wraps data in an agentic framework, enabling AI agents to conduct autonomous audits, generate intelligence-driven policies, and diagnose data security issues rapidly. This includes developing backend services, implementing AI agents, and creating automated diagnostics.
About Cyberhaven
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.
Ready to join Cyberhaven?
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Frequently Asked Questions
What does a AI Automation & Tooling Engineer do at Cyberhaven?
As a AI Automation & Tooling Engineer at Cyberhaven, you will: you will build the service layer that wraps data in an agentic framework, enabling AI agents to conduct autonomous audits, generate intelligence-driven policies, and diagnose data security issues rapidly. This includes developing backend services, implementing AI agents, and creating automated diagnostics..
Is the AI Automation & Tooling Engineer position at Cyberhaven remote?
The AI Automation & Tooling Engineer position at Cyberhaven is based in Bengaluru, India. Contact the company through Clera for specific work arrangement details.
How do I apply for the AI Automation & Tooling Engineer position at Cyberhaven?
You can apply for the AI Automation & Tooling Engineer position at Cyberhavendirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.