This is a high-impact role where you'll work across the stack- from ingestion pipelines to analytics APIs - ensuring data flows reliably and is accessible when teams need it.

What You'll Do

• Design and build scalable data pipelines that ingest, process, and transform high-volume event streams and historical data
• Develop and maintain APIs that deliver analytics, trend reports, and drill-down capabilities to internal teams and external customers
• Build robust infrastructure for data quality monitoring, ensuring accuracy and completeness across customer and artifact datasets
• Optimize data storage and query performance using systems like ClickHouse, Kafka, NATS, and PostgreSQL to support real-time and batch use cases
• Implement usage tracking, auditing, and event processing systems that provide visibility into platform behavior
• Create reliable data ingestion systems for security scan results, SBOM data, and artifact metadata
• Build infrastructure for outbound integrations that deliver Socket data to customer systems
• Collaborate with product, security research, and engineering teams to understand data needs and deliver solutions that scale

What You'll Bring

• 3+ years of experience building data pipelines and infrastructure in production environments
• Strong proficiency in Node.js and TypeScript for backend development
• Experience with streaming data platforms (e.g., Kafka, NATS, RabbitMQ, Kinesis) and event-driven architectures
• Hands-on experience with columnar databases and OLAP systems (ClickHouse, BigQuery, Snowflake, DuckDB, or similar)
• Solid understanding of data modeling, schema design, and query optimization
• Familiarity with cloud data lake technologies (Delta Lake, Iceberg, Parquet, etc.)
• Experience building REST APIs and data access layers for analytics use cases
• Comfort working with large-scale distributed systems and debugging performance bottlenecks
• Strong ownership mindset - you take responsibility for the systems you build and ensure they're reliable
• Clear communication skills; you can explain technical trade-offs to both engineers and non-technical stakeholders

Nice to Have

• Experience with time-series data and real-time analytics
• Familiarity with security or DevOps tooling ecosystems
• Background working with SBOM formats or supply chain security concepts
• Experience with data quality frameworks and observability tools
• Understanding of multi-tenant architectures and data isolation patterns

We know how important clarity is when looking for a new role, so we've put together a read-me about the Interview Process at Socket.

Benefits: Our benefits are crafted to support you and your family, so you can take care of what matters most and thrive in and outside of work. We offer:

• Market competitive salary bands
• Meaningful equity program
• Comprehensive health benefits for you and your family
• Flexible time-off, holidays, and winter shutdown to rest & recharge
• Paid parental leave
• Remote-first, with quarterly team off-sites

At Socket, we

• Pursue Excellence: We set ourselves apart by consistently delivering work of exceptional quality and distinction.
• Move with urgency and focus: We prioritize swift, decisive action.
• Think rigorously: We care about being right and it often takes reasoning from first principles to get there. We value alternative perspectives and have constructive discussions.
• Trust and amplify: We overtrust, always assume good intent, and give specific feedback to help each other improve.
• Feel a strong sense of ownership: We wear many hats and feel a strong sense of overall ownership of the company and we're non-territorial regarding our nominal domains.
• Are customer obsessed: We relentlessly prioritize the needs of our customers, striving to exceed their expectations and delight them at every interaction.