Job Description

Why this role exists

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We're looking for a

Cloud Native Engineer

to build and optimize the microservices architecture powering our AI cloud platform. You'll design resilient, scalable systems using cutting-edge cloud native technologies, ensuring our platform can handle massive AI workloads with reliability and performance.


As part of our cloud native engineering team, you'll work on

Kubernetes-based infrastructure, Go microservices, and container orchestration systems

that serve as the backbone of our AI computing platform.

You'll architect the systems that make AI compute seamless for thousands of developers and enterprises.

This is a unique opportunity for someone who's excited to

work with the latest cloud native technologies, solve complex distributed systems challenges, and build infrastructure at scale in the rapidly growing AI space.

What you'll do

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Design and develop

microservices using Go

that power our AI cloud platform's core functionality Build and maintain

Kubernetes-based infrastructure

for container orchestration and workload management Implement and optimize

cloud native solutions

for scalability, reliability, and performance Contribute to

code reviews, technical documentation, and knowledge sharing

within the engineering team Explore and integrate

emerging cloud native technologies

like Volcano, Prometheus, and service mesh solutions Design

distributed systems architecture

for high-availability AI workload processing Collaborate with DevOps and SRE teams to ensure

production reliability and monitoring

Leverage AI-assisted coding tools

(GitHub Copilot, ChatGPT, Cursor IDE, etc.) to boost productivity and code quality

You'll thrive here if you

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7+ years of software engineering experience

with focus on distributed systems and cloud native technologies

Strong proficiency in Go

with deep understanding of concurrency patterns and standard libraries Familiarity with

Python or other backend languages

for polyglot development environments

Hands-on Kubernetes experience

including development, deployment, and maintenance of production clusters Solid understanding of

microservices architecture

design patterns and implementation best practices Experience with

containerization technologies

(Docker, containerd) and container runtime optimization

Problem-solving mindset

with ability to independently design and implement complex system components

Strong collaboration and communication skills

for working in cross-functional teams

Experience using AI-assisted coding tools

and willingness to integrate them into development workflow

Bonus qualifications

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Familiarity with

cloud native ecosystem tools

such as Prometheus, Grafana, Volcano, or service mesh technologies

Open source contributions

to cloud native projects (Kubernetes, CNCF ecosystem) Experience with

large-scale Kubernetes cluster operations

and troubleshooting in production environments Knowledge of

microservices architecture patterns

including circuit breakers, service discovery, and distributed tracing

Compensation

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Competitive salary

-- commensurate with your experience and aligned with industry standards *

Meaningful equity

-- be part of the upside as we build a category-defining company. Your grant will align with your role and the experience you bring.