Job Opportunities API

About ngrok Inc. ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. Instead of cobbling together nginx, NLBs, VPNs, model routers, and oodles of other tools, developers solve every networking problem with one gateway. Doesn’t matter if they’re sharing localhost or running AI workloads in production. We're trusted by more than 9 million developers at companies like GitHub, Okta, HashiCorp, and Twilio. What started as a way to put your local app on a public URL has grown into a universal gateway for API delivery, AI inference, device fleets, and site-to-site connectivity. It’s the same ngrok that millions of developers have loved and leaned on every day for years, now with the power to run production traffic at scale. A few things you should know: We are obsessed with our pets, Viper sunglasses and Bufo (yes, the toad) We have a designated Chief Emoji Officer - they are vital to our success! We like software that’s serious and culture that’s not Still reading? Good. There's more below worth your time.   About the Data Platform Team The Data Platform team owns the data platform and analytics systems that power decision-making across ngrok. We handle ingestion, modeling, metrics, and reporting-the systems that make sure every event is counted correctly and every number in a deck can be defended. We manage about 500TiB of data, run a dagster instance with over 1,600 assets, maintain 550+ dbt models, and own Flink streaming pipelines that process ~22,000 messages per second on average. This data is used across all teams @ ngrok, from marketing to financial reporting. Our systems must be correct, explainable, and resilient under real-world conditions: traffic spikes, schema changes, late-arriving events, and other challenges that come from running a large, globally distributed system. We treat data as a product: reliable, observable, well-modeled, and thoughtfully designed. Our Data Platform team is part of the Engineering organization and doesn’t live in a silo. What You’ll Actually Do Build the data backbone : You’ll design and evolve the pipelines and orchestration systems that move data across ngrok - from product events to financial reporting. Ingestion, transformation, modeling, reliability. The foundation everything else depends on. Make the numbers make sense : You’ll own core business and product datasets - usage, revenue, growth, performance-and ensure they’re accurate, reconciled, and trusted. No mystery metrics. No “why doesn’t this match?” Slack threads. Turn raw events into decision-ready insight : You’ll build and refine the models that power dashboards, planning, forecasting, and experimentation. Clean schemas. Durable definitions. Metrics people actually align on. Raise the bar on data reliability : You’ll implement validation, testing, observability, and monitoring across our data systems. Pipelines shouldn’t silently fail. Dashboards shouldn’t drift. Finance shouldn’t find surprises. Own the platform as it scales : You’ll improve performance, cost efficiency, and architectural design across our data stack (Airbyte, Dagster, dbt, Athena, Flink, Superset, and beyond). As traffic and customers grow, the data platform keeps up. Partner across the company : You’ll work closely with Product, Engineering, GTM, Finance, and Leadership. They’ll have hard questions. You’ll build the systems that make those answers obvious. You Might Be a Great Fit If… You’re familiar with Python, SQL, and Scala You’re also comfortable in a language such as Go, Rust, C++, or Java (with bonus points for Go) You’re comfortable writing production-quality code and treating data systems like real software-not just queries in a notebook You’re interested in AWS infrastructure and Kubernetes, managed through Infrastructure as Code (Terraform or