> Markdown version of [/jobs/ext/4622505-senior-software-engineer-infrastructure](https://www.wearedevelopers.com/jobs/ext/4622505-senior-software-engineer-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# SENIOR SOFTWARE ENGINEER, INFRASTRUCTURE

- **Company:** GERRA CO.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Computer Vision, Big Data, Cloud Computing, Data Infrastructure, Data Synchronization, Distributed Systems, Python (Programming Language), Performance Tuning, Video Editing, Real Time Systems, Apache Spark, Kubernetes, Apache Flink, Machine Learning Operations, Stream Processing, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_a9391ef3cb9a027b6c8200d99350631d

## About the Role

* 5+ years of experience building production distributed systems
 * Deep expertise in at least one of: Kubernetes, data pipelines, streaming systems, or cloud infrastructure
 * Strong proficiency in Python, Go, or Rust
 * Experience with large-scale data processing (Spark, Flink, or similar)
 * Track record of owning and delivering complex technical projects
 * Excellent communication skills and ability to work directly with customers, * Experience with robotics, computer vision, or ML infrastructure
 * Background in video processing or real-time systems
 * Experience at high-growth startups
 * Contributions to open source projects

## Description

As a Senior Infrastructure Engineer, you will own critical systems that handle multi-modal sensor data at massive scale. You will work directly with founders and have significant impact on technical direction., * Own the data pipeline infrastructure handling petabytes of video, IMU, proprioception, and audio data

 * Build and maintain our cloud infrastructure across AWS and GCP
 * Optimize system performance for sub-millisecond data synchronization requirements
 * Collaborate directly with customers to understand their data infrastructure needs
 * Mentor engineers and establish engineering best practices