Design, build, and operate backend services and APIs that are core dependencies across Airbnb's platform.
Lead multi-engineer projects end-to-end, from problem definition through rollout and operations.
Improve the reliability and scalability of systems that handle account data and events at high volume.
Airbnb is a global online marketplace for stays and experiences, founded in 2007 and now boasting over 5 million hosts and 2 billion guest arrivals worldwide. The company fosters a culture of belonging and inclusion, committed to creating a world where anyone can belong anywhere.
Build and scale distributed systems to move large volumes of customer data efficiently.
Develop streaming capabilities for real-time data syncing from webhooks and message queues.
Optimize system performance, latency, and multi-region infrastructure.
A marketing technology company building a distributed data platform for efficient customer data movement. They foster a high-velocity startup culture with a strong emphasis on autonomy and engineering excellence.
Build high-throughput streaming infrastructure that ingests billions of behavioral events and powers real-time personalization.
Own projects from start to finish and shape the technical roadmap for the Streaming Systems team.
Work directly with customers to solve their hardest scaling and low-latency challenges.
They build high-throughput streaming systems that ingest and process billions of behavioral events to power an AI agent for marketers. They are a fast-paced, remote-first startup with a 10x revenue growth in streaming products and a culture of high ownership and autonomy.
Own the architecture of Alpaca's event streaming platform and set its 2-3 year direction.
Lead the shift from batch to event-driven systems across the company, working with team owners.
Shape streaming at scale: fan-out, backpressure, delivery guarantees, and failure modes.
Alpaca is a US-headquartered global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, and more, serving financial institutions across 40 countries. The company is backed by $400 million in funding and has a globally distributed team of 400+ members who value curiosity, empathy, and accountability.
Design and build distributed systems for ingestion, normalization, processing, storage, and delivery of realtime market data.
Build and operate streaming solutions handling event ordering, timestamps, duplicates, replay, gaps, and recovery.
Lead technical decisions, write clear designs, and mentor engineers to deliver reliable data platforms.
Dune is a blockchain data and intelligence provider making onchain finance observable, serving 130+ chains and 1,000+ industry leaders. We're a tight-knit team of ~50 hardworking people across Europe and US timezones, humble yet ambitious.
Lead architecture and implementation of high-impact data pipelines across AI usage, Unit Economics, and enterprise applications.
Define data models for AI adoption, consumption, and spending with stakeholders across the organization.
Protect data accuracy through automated testing, reconciliation, anomaly detection, and monitoring.
Airbnb is an online marketplace that connects hosts offering unique stays and experiences with guests worldwide. It has grown to over 5 million hosts and welcomes over 2 billion guest arrivals, with a culture that values trustworthy data, thoughtful architecture, and engineering rigor.
Own the reliability and operational performance of large-scale distributed systems and data infrastructure.
Deliver streaming and data infrastructure required by critical product initiatives, maintaining 99.9% availability.
Reduce operational maintenance and improve infrastructure self-service and cost accountability.
Chainlink is the industry-standard oracle platform bringing capital markets onchain and powering decentralized finance. It is a global, remote-first team that secures the vast majority of DeFi and is trusted by major financial institutions.
Execute end-to-end migration of ~1,000 datasets to Snowflake, ensuring reliable data delivery.
Modernize orchestration from Airflow 2 to Airflow 3 and migrate Hive structures to Apache Iceberg.
Optimize pipelines using Python, Spark, PySpark, Kafka, and AWS S3 with a focus on performance.
The company is modernizing legacy data infrastructure to a scalable, high-performance environment, migrating 1,000 datasets to Snowflake. They value technical excellence, autonomy, and efficient delivery in a globally distributed engineering culture.