Position:
Platform and DevOps Engineer ( Python Developer for Kubernetes Platform)
Location :
San Jose CA
Duration:
Contract
Job Description:
clients prefer Chinese speaking candidates who can work from San Jose CA office.
• Build production software, automation platforms, or infrastructure tooling
• Develop automation for Kubernetes cluster platform
• Proficient in Python to automate cloud environments and infrastructure
• Apply model Kubernetes design patterns as controllers, operators, CRDs, APIs and custom resource definitions for better operational efficiency and scalability
• Build large, distributed, and scalable software systems
• Collaborate with DevOps, security, infrastructure (storage, compute, networking), Applications, Quality, Product etc. teams
Required Qualifications
• Expertise in distributed systems, orchestration architectures, or large scale platform development
• Skilled in designing for scalability and resilience in high-scale environments
• Unix/Linux OS programming environment experience. Debug Linux-based production systems. Maintain Linux servers & clusters
Reliability & Observability:
Define SLOs/SLIs for critical services; standardize logging, metrics, and tracing; implement automated detection, alerting, and recovery to improve availability and reduce MTTR
Cross-Org Influence:
Partner with infrastructure, Cloud, DB, security teams to align priorities & unblock dependencies
• Familiarity with, and passion for Kubernetes and related technologies. Deep understanding of Kubernetes deployment and development patterns
• Effective communication skills and ability to work cross-functionally in a fast paced environment
• Problem-solving skills and a collaborative attitude.
Preferred Qualifications
• Preference for candidates with a background in platform, tooling, or infrastructure.
Bonus:
Experience building orchestration systems/engines
• Experience with networking and security controls is a plus
• General TCP/IP networking knowledge
• Experience in designing and building infrastructure at large scale.
• Familiar with public cloud platforms ( AWS, Azure, GCP)
Interview Process:
• Multiple interviews based on candidate performance.
Seniority level
Not Applicable
Employment type
Contract
Job function
Information Technology
Industries
Information Services
