Note: The job is a remote job and is open to candidates in USA. ngrok is an all-in-one cloud networking platform that secures, transforms, and routes traffic to services running anywhere. The Senior Software Engineer III for the Data Platform team will be responsible for designing and evolving data pipelines, ensuring data accuracy, and building systems that support decision-making across the company.
Responsibilities
- 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
Skills
- 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
- Usage-based billing, metering, revenue, or financial reporting systems
- Event-driven or streaming data architectures
- Customer-facing dashboards or internal executive reporting
Benefits
- Full premiums covered on base healthcare, dental, and vision for you. Half covered for your dependents. Mental health and well-being support included, because taking care of your brain is as important as taking care of your teeth.
- 401(k) with 100% match up to 3% of your salary and 50% match up to another 2%. Future you will appreciate present you.
- We say "open, flexible vacation policy" and actually mean it. Take the time you need. Your manager will bug you if you're not taking enough.
- Up to 16 weeks if you give birth, up to 8 weeks for new parents (birth, adoption, fostering—however your family grows).
- Annual professional development budget for books, courses, conferences, or whatever helps you level up. Plus an annual home office/desk stipend to make your workspace not terrible.
- Co-working space stipend if you want to get out of your house but aren't near our SF office.
- 2x+ per week for employees onsite at our San Francisco office. Free food tastes better.
- Twice a year we get the whole team together. It's part strategy, part bonding, part excuse to hang out with Bufo (the toad).
- Bi-annual reviews to make sure you're getting real feedback and staying competitively compensated. No surprises, no waiting around for performance conversations.
Company Overview