# Software Engineer, Data Runtime

**Company:** [Mixpanel](https://hotfix.jobs/companies/mixpanel)
**Location:** San Francisco, CA
**Role:** Backend Engineering
**Experience:** 3+ years
**Skills:** Go, C++, Python, SQL, Distributed Systems, Kubernetes, GCP, GKE, Spanner, Arrow, Parquet, Profiling, Concurrency, Memory Management, Observability
**Posted:** 2026-08-31

> Build and operate the distributed data execution systems behind Mixpanel’s large-scale query platform, including compute, caching, storage, and compaction. The role requires 3+ years of backend or data infrastructure experience, distributed-systems expertise, and strong production ownership.

## Job Description

## Responsibilities
- Design and build systems that execute Mixpanel queries at scale.
- Contribute to technical designs for distributed-systems projects from prototyping through global rollout, including elastic query compute, distributed file caching, columnar storage internals, and compaction.
- Own projects or significant components end to end: design, implementation, launch, and production operations.
- Partner with infrastructure teams such as Query Serving, Streaming, and Data Foundation, as well as product teams, on shared architecture.
- Operate production systems and make informed technical tradeoffs based on reliability and performance experience.
- Communicate technical decisions through design documents, code reviews, and asynchronous discussions.

## Requirements
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 3+ years of professional software engineering experience building and operating data infrastructure or backend systems.
- Foundation in distributed systems or data infrastructure.
- Experience shipping and operating production systems.
- Strong technical writing and communication skills.
- High ownership, accountability, and sound technical judgment.

## Technical Skills
- Go, C/C++, Python, and SQL
- Sharding and partitioning
- Replication
- Distributed scheduling
- Consistent hashing
- Columnar formats, including Arrow and Parquet
- Indexing and compression
- Distributed file and block caching
- Profiling with pprof and perf
- Concurrency and memory management
- Benchmarking
- Google Cloud Platform, including GCS, GKE, and Spanner
- Kubernetes
- Observability, including metrics, tracing, and logging
- SLOs and incident management
- LLM tooling for development, triage, and operations

## Benefits
- Medical, vision, and dental care
- Mental wellness benefit
- Vacation and company holidays
- Enhanced parental leave
- Volunteer time off
- US pre-tax benefits, including 401(k)
- Wellness benefit and holiday break

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