Cloud Native Engineer

Zettabyte; United States; Híbrido; USD 180.000 - 240.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Hybrid work model

Descripción de la vacante

Zettabyte is seeking a seasoned Cloud Native Engineer to design and optimize the microservices architecture powering our AI cloud platform.

You will work on Kubernetes-based infrastructure, Go microservices, and container orchestration, building systems that scale for thousands of developers and enterprises while focusing on reliability and performance.

Formación

• 7+ years of software engineering experience with distributed systems
• Strong proficiency in Go and concurrency patterns
• Familiarity with Python or other backend languages
• Hands-on Kubernetes experience in production
• Solid understanding of microservices architecture and patterns
• Experience with Docker and container runtimes
• Problem-solving mindset and independent design/implementation
• Strong collaboration and cross-functional communication
• Experience using AI-assisted coding tools and integration into workflows

Responsabilidades

• Design and develop microservices using Go for our AI cloud platform
• Build and maintain Kubernetes-based infrastructure for container orchestration
• Implement cloud native solutions for scalability, reliability, and performance
• Contribute to code reviews, documentation, and knowledge sharing
• Explore and integrate emerging cloud native technologies like Volcano and service meshes
• Design distributed systems architectures for high-availability workloads
• Collaborate with DevOps and SRE teams to ensure production reliability and monitoring
• Leverage AI-assisted coding tools to boost productivity and code quality

Conocimientos

Go

Distributed systems

Kubernetes

Microservices

Docker

Python

AI-assisted coding tools

Container runtimes

Herramientas

Prometheus

Grafana

Volcano

Service mesh

GitHub Copilot

Descripción del empleo

Why this role exists

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

Bonus qualifications

• 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

• We provide Competitive salary and equity based on your experience and skillset;

• This is a Hybrid role - 3 days in office, 2 days WFH; Must locate in Palo Alto

• Applicants must be authorized to work in the United States without need for visa sponsorship.