Cloud Support Engineer - Full Time

Talent Zone Consultants; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Talent Zone Consultants in the United States is seeking a senior software engineer to design and implement distributed systems and cloud-native architectures using Go. You will build and operate Kubernetes-based infrastructure, contributing to design reviews and improving scalability and reliability.

The role requires deep Go expertise, strong Kubernetes experience, and a proactive approach to adopting AI-assisted tools. Collaboration with DevOps/SRE teams is essential for production readiness.

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
• 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.

Responsibilities

• 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

Skills

Go

Distributed systems

Kubernetes

Microservices

Python

AI-assisted coding tools

Cloud native

Docker

Concurrency patterns

Communication

Team collaboration

SRE/DevOps collaboration

Tools

Kubernetes

Docker

containerd

Prometheus

Grafana

Volcano

Job description

Responsibilities

• 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

Qualifications

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
• Knowledge of Mandarin.

Experience 4 - 10 Years

Salary Not Disclosed

Qualification

• Azure Backup and Recovery
• Containers
• Databases
• DevOps
• Google Cloud
• Incident Response
• Infrastructure AS Code
• Monitoring
• Virtualization
• Networking
• Linux Security
• Customer Support
• Scripting
• Troubleshooting
• Cloud Computing Automation
• Load Balancing
• AWS