# Senior Software Engineer, Data and AI Infrastructure

**Company**: Airwallex
**Location**: Seattle, WA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $150K - $245K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/airwallex/f5be8477-ca01-418b-bd22-946430d28831?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a6b57a9b-f89

## Description

## Compensation

The expected base pay range for this role is $150K – $245K, with potential bonus.

## How you'll make impact

You'll design, build, and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms. Your responsibilities will include:

- Improving the scalability, reliability, efficiency, and cost visibility of production data and AI workloads.

- Building self-service capabilities for data, AI, and application teams to deploy and operate workloads safely and independently.

- Partnering across engineering to turn emerging data and AI requirements into durable platform capabilities.

- Delivering the technical foundations for the next generation of data and AI infrastructure.

- Driving platform capabilities that help engineering teams operate critical workloads with greater independence.

## What we're looking for

### Essentials

- 5+ years in DevOps, SRE, or platform engineering, owning production systems end to end.

- Strong experience designing, operating, and troubleshooting production Kubernetes environments.

- Experience building or operating distributed data infrastructure with technologies such as Kafka, Spark, or Flink, or experience developing AI infrastructure.

- Hands-on experience with at least one major public cloud platform, such as AWS, Google Cloud, or Microsoft Azure.

- Strong knowledge of cloud and container networking.

- Proficiency in one or more of Go, Python, or Java, with experience writing maintainable production software.

- A solid understanding of distributed-systems concepts.

- Experience operating critical infrastructure using infrastructure-as-code, automated delivery, and modern observability practices.

- Strong debugging skills and the ability to work methodically across multiple layers of a complex system.

- Clear communication skills and a track record of collaborating effectively across engineering disciplines.

- An ownership mindset.

### Preferred

- Platform engineering experience, particularly building internal developer platforms.

- Hands-on experience with serving technologies such as SGLang, vLLM, or NVIDIA Triton Inference Server.

- Knowledge of GPU scheduling, batching, model parallelism, memory management, autoscaling, and inference-performance optimization.

- Experience improving the cost efficiency of large-scale data processing or AI inference workloads.

- Contributions to infrastructure, data-platform, Kubernetes, or AI-serving open-source projects.

## Learn more about your team

The Infrastructure & Productivity team at Airwallex builds the technical foundation that allows the global engineering organization to scale.

## Skills

### Required
- Kubernetes
- public cloud platforms
- Kafka
- Spark
- Flink
- Go
- Python
- Java
- distributed-systems concepts
- infrastructure-as-code
- automated delivery
- modern observability practices

### Nice to have
- platform engineering
- SGLang
- vLLM
- NVIDIA Triton Inference Server
- GPU scheduling
- batching
- model parallelism
- memory management
- autoscaling
- inference-performance optimization

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/airwallex/f5be8477-ca01-418b-bd22-946430d28831?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)