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About the Role
We are looking for Founding and Staff-level Engineers to design and implement the foundational pillars of Cogent’s data platform and integration pipeline. This role will reliably ingest and normalize enterprise data sources across many corporate and IT systems, enabling the transformation of that data into a knowledge base for GenAI systems.
Responsibilities
- Build the new standard for ingesting and extracting enterprise data.
- Build data connectors, run data pipelines, and extract insights and context from customer environments.
- Build robust and secure backend systems that handle large volumes of data and ETLs.
- Reimagine how enterprise security teams extract, store, and access data.
- Design highly performant data pipelines and indexing strategies for Applied AI use cases like semantic search and retrieval augmented generation.
- Work with Applied AI teams to taxonomize, correlate, and deduplicate data across various enterprise sources.
- Architect indexing, storage, and query strategies for data in Cogent’s data lake.
- Architect the modern data platform for Gen AI.
- Make build vs buy decisions for data platform tools and services.
- Integrate decisions into the broader architecture and tech roadmap.
- Implement generalizable design patterns and system components to scale from 1 to thousands of integrations.
Requirements
- 5+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
- Experience building data pipelines for Information Retrieval Systems (such as knowledge graphs, search engines, or similar) for enterprise use cases.
- Experience in ETL orchestration and workflow management tools (such as Temporal, Airflow).
- Experience building batch processing and streaming systems with tools like Apache Kafka/Flink.
- Expert in database fundamentals, SQL, data reliability practices, and distributed computing.
- Experience working fluently with standard orchestration & deployment technologies like Kubernetes, Terraform, Docker, Databricks, etc. in multiple clouds.
Skills
- Data pipelines
- ETL orchestration
- Workflow management
- Batch processing
- Streaming systems
- Apache Kafka
- Apache Flink
- Database fundamentals
- SQL
- Data reliability
- Distributed computing
- Kubernetes
- Terraform
- Docker
- Databricks
- Information Retrieval Systems
- Knowledge graphs
- Search engines
- Semantic search
- Retrieval augmented generation
Experience Level
- Founding
- Staff
- 5+ years of professional experience
Salary/Compensations
- $100,000 - $300,000 annually
About the Company
- Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity.
- AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale.
- Cogent’s "AI Taskforce" assesses petabytes of enterprise data to remediate these issues before critical breaches occur.
- We blend frontier research with real-world execution.
- Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality.
- Cogent has experienced rapid growth since coming out of stealth.
- We partner with Fortune 500 companies to secure some of the most complex production environments in the world.
- We’re backed by Greylock and have built a team with the best minds in applied AI.
- Our team is comprised of people from top universities, unicorn/high-growth companies, world-class cybersecurity experts, and preeminent research labs.
Equal Opportunity
- We are committed to building an inclusive and diverse company.
- We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.