Cloud Native Engineer

SproutsAI

Palo Alto (CA)

Hybrid

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and equity

Hybrid work model

Job summary

A cutting-edge AI company in Palo Alto is seeking a Cloud Native Engineer to build and optimize the microservices architecture of their AI cloud platform. The role involves designing resilient systems using cloud native technologies while ensuring the platform can handle massive workloads efficiently. Applicants should have over 7 years of software engineering experience, strong proficiency in Go, and hands-on Kubernetes expertise. This is a hybrid role requiring in-office work three days a week.

Qualifications

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.
Hands-on experience with Kubernetes including development, deployment, and maintenance.

Responsibilities

Design and develop microservices using Go for AI cloud platform.
Build and maintain Kubernetes-based infrastructure for workload management.
Implement and optimize cloud native solutions for scalability and reliability.

Skills

Distributed systems expertise

Proficiency in Go

Kubernetes experience

Containerization technologies

Problem-solving mindset

Collaboration skills

Tools

Docker

Prometheus

Grafana

Service mesh technologies

Job description

Zettabyte delivers high-performance AI computing infrastructure to enterprises and entrepreneurs globally. We specialize in offering NVIDIA GPUs—such as H100, A100, and RTX series—through a proprietary software platform called Zsuite, which enables intelligent scheduling, resource optimization, and efficient management of distributed AI workloads. Drawing expertise from hyperscale cloud computing and renowned academic institutions, we address gaps in AI orchestration and reliability, helping customers efficiently train and deploy AI models. The Zsuite platform provides robust orchestration and management capabilities for AI workloads, aiming to democratize access to advanced computing power. Zettabyte collaborates with leading technology companies and is a UN Global Marketplace member, supporting innovation with ethical standards and a global perspective. Our infrastructure supports on-demand cloud GPU instances, performance management, and tailored AI data center deployments, contributing toward advancing the AI ecosystem, notably in Asia. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the Role

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

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

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
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