Cloud Support Engineer (4-10 Years)

Talent Zone Consultants; United States; On-site; USD 130,000 - 180,000; Full time

Job summary

Talent Zone Consultants is seeking a Cloud Support Engineer in the United States to design and develop Go-based microservices powering our AI cloud platform. You will build and maintain Kubernetes infrastructure, contribute to code reviews and documentation, and collaborate with DevOps and SRE teams to ensure production reliability and monitoring.

The role emphasizes cloud native design, distributed systems, and AI-assisted development tooling to boost productivity and quality.

Qualifications

• 7+ years of software engineering experience with distributed systems and cloud native technologies.
• Strong proficiency in Go and understanding of concurrency patterns.
• Hands-on Kubernetes experience including development, deployment, and maintenance of production clusters.

Responsibilities

• Design and develop microservices using Go to 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, documentation, and knowledge sharing within the team.
• Collaborate with DevOps and SRE teams to ensure production reliability and monitoring.

Skills

Go

Kubernetes

Distributed systems

Microservices

Cloud native

Go concurrency

Python

CI/CD

Collaboration

Tools

Docker

containerd

Prometheus

Grafana

GitHub Copilot

Job description

Cloud Support Engineer (4-10 Years)

United States

• 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
• 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
• Knowledge of Mandarin

Salary Not Disclosed