Software Engineer, DevInfra

About the DevInfra Team

The DevInfra team is Mixpanel’s platform engineering team. Our mission is to be a force multiplier for Mixpanel engineering as a whole. We achieve this by partnering with our engineering teams to build a world-class software development life cycle together.

About the Role

We are looking for an engineer with a strong track record of solving tooling pain points, automating away toil, and helping teams deliver software faster, more safely, and more reliably. Someone who is energized by supporting their fellow engineers. An engineer who has good taste and leverages AI to great effect without generating slop. Frequent forays into uncharted territory requires our team to be highly adaptable and always ready to learn. We serve as trailblazers for the rest of Mixpanel engineering.

Responsibilities

• We partner with a wide variety of teams to build out their software development lifecycle to be optimized for speed, safety, and reliability. We support teams writing front-end UI code as well as teams maintaining our highly stateful storage systems deep in our stack.

• We are responsible for deploying AI tools like Claude Code to our entire engineering team. We are building agents into our platform to do things like augment on-call response and automatically one-shot bugs that come through a team’s triage queue.

• We support systems that ingest more than 1 Trillion user-generated events every month while balancing low end-to-end query latency. Mixpanel queries typically scan more than 1 Quadrillion events over the span of a month. More details in this blog post.

• Mixpanel runs entirely on Google Cloud Platform and Google Kubernetes Engine. DevInfra is the overall admin for our cloud environment, so we wear many hats. We are responsible for things like Terraform, cost management, networking, and security best practices.

• We are the overall service owner for Kubernetes. Individual teams are responsible for maintaining and monitoring their own clusters and workloads. We are responsible for setting standards for deployment, observability, and developer experience. We facilitate efforts like Kubernetes version upgrades and helping teams adopt new Google Kubernetes Engine features.

• Service ownership of our observability pipelines. We have instrumented over 30 million Prometheus metrics time series and use Open Telemetry to ingest over 4 billion distributed tracing spans per month. An example: How We Migrated from StatsD to Prometheus in One Month.

• We maintain our GitHub Actions based CI/CD pipelines. We maintain a robust GitHub-native delivery process that empowers teams to self-serve their needs while ensuring safety and reliability. See this blog post for an example.