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 similar) — not click ops
• You’ve built and operated large-scale event streams, product telemetry, or high-volume ingestion pipelines in production
• You enjoy thinking about data models, invariants, lineage, and failure modes
• You care about data quality and observability, and you design systems that make errors visible-not silent
• You’re the person people ping when the numbers don’t add up-and you actually enjoy figuring out why

Extra credit if you’ve worked on:

• Usage-based billing, metering, revenue, or financial reporting systems
• Event-driven or streaming data architectures
• Customer-facing dashboards or internal executive reporting

Tech Stack

ngrok runs entirely on AWS. Engineers develop by using remote development tools and/or ssh to connect to remote EC2 environments that run a full Kubernetes cluster of the ngrok stack, closely mirroring production.

We self host a large part of our data stack on Kubernetes, namely dagster, Superset, Airbyte, and Flink. Our core data warehouse is in Athena, with the data being stored as Apache Iceberg. We also run some workloads on our Clickhouse Cloud infrastructure.

Our data codebase is a mix of Python and Scala 3. We use dbt for SQL modeling. All data tools are fully integrated with the rest of our developer platform.

The ngrok codebase is primarily Go and TypeScript. We use Postgres for persistence, Kafka for streaming, Protobuf for service boundaries, and Kubernetes, Terraform, Helm, and Buildkite to operate and ship reliably. React is used for user interfaces, and GitHub supports our development workflows and remembers everything.

Location

This is a remote position for candidates outside of the Bay Area and a hybrid role for candidates within commuting distance to San Francisco. Our Bay Area employees commute to the office on Tuesdays and Wednesdays.

Sponsorship

All candidates must be US-based, and legally authorized to work in the United States.

At this time, ngrok is unable to provide visa sponsorship for this position. Applicants must be authorized to work in the United States on a permanent, ongoing basis without the need for current or future sponsorship.

Compensation

Senior Software Engineer

• Tier 1 (SF, LA, Seattle, NYC): $202,500 – $247,500
• Tier 2 (rest of US): $186,300 – $227,700

Software Engineer III

• Tier 1 (SF, LA, Seattle, NYC): $180,000 – $220,000
• Tier 2 (rest of US): $165,500 – $202,400

Job level and actual compensation will be evaluated based on factors including, but not limited to, qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), internal equity with other team members, market data, and specific work location. We provide an attractive mix of salary and equity. #LI-Remote