Golang & Kubernetes Engineer
Artech, Sunnyvale, CA, United States
Request ID: 80552-1
Title:
Golang & Kubernetes Engineer
Locations : Sunnyvale CA
Duration:
6 Months
Salary Range: $55.00- $60.00/Hour on W2 (All inclusive)
Applicants must be able to work on W2 without any Visa sponsorship
Job Description:
We are looking for a highly skilled
Golang & Kubernetes Engineer
to design, build, and operate large-scale cloud-native infrastructure supporting distributed machine learning workloads. The role involves managing multi-cluster Kubernetes environments, developing backend platform services in Golang, and optimizing ML model training and inference systems for performance, scalability, and reliability.
Key Responsibilities
Design, deploy, and operate large-scale
Kubernetes (EKS) environments , managing
multi-cluster infrastructure (20-25+ clusters)
Build and maintain
backend platform services using Golang
to support distributed systems and ML workloads
Manage full
Kubernetes cluster lifecycle , including upgrades, scaling, monitoring, and reliability improvements
Develop orchestration frameworks for
ML workloads , including training and inference pipelines
Implement and manage
security controls , including IAM, RBAC, and secure service-to-service communication
Deploy and optimize
distributed ML systems
using frameworks such as
PyTorch and Ray
Improve system performance across
latency, throughput, and availability
for model serving platforms
Collaborate with ML engineers, DevOps, and infrastructure teams to ensure scalable and reliable ML platforms
Build automation tools and infrastructure-as-code solutions to improve operational efficiency
Monitor system health, troubleshoot production issues, and ensure high availability of services
Required Skills & Qualifications
8-10 years of experience in software engineering or cloud infrastructure roles
Strong hands-on experience with
Kubernetes (EKS) at scale
Proficiency in
Golang , or strong backend systems development experience (e.g., Java, C++, Python with system design exposure)
Deep understanding of
distributed systems and cloud infrastructure principles
Experience in designing and operating scalable backend or platform services
Strong knowledge of
cloud security concepts (IAM, RBAC, network policies)
Experience working in production-grade, high-availability environments
Nice to Have (Preferred Skills)
Exposure to
MLOps frameworks
such as
PyTorch, Ray, Kubeflow, or similar
Experience with
machine learning infrastructure or model serving systems
Familiarity with
cloud platforms (AWS/Azure/GCP)
for AI and data solutions
Appreciate your quick response and please feel free to reach me out for any query you may have.
Thanks
Title:
Golang & Kubernetes Engineer
Locations : Sunnyvale CA
Duration:
6 Months
Salary Range: $55.00- $60.00/Hour on W2 (All inclusive)
Applicants must be able to work on W2 without any Visa sponsorship
Job Description:
We are looking for a highly skilled
Golang & Kubernetes Engineer
to design, build, and operate large-scale cloud-native infrastructure supporting distributed machine learning workloads. The role involves managing multi-cluster Kubernetes environments, developing backend platform services in Golang, and optimizing ML model training and inference systems for performance, scalability, and reliability.
Key Responsibilities
Design, deploy, and operate large-scale
Kubernetes (EKS) environments , managing
multi-cluster infrastructure (20-25+ clusters)
Build and maintain
backend platform services using Golang
to support distributed systems and ML workloads
Manage full
Kubernetes cluster lifecycle , including upgrades, scaling, monitoring, and reliability improvements
Develop orchestration frameworks for
ML workloads , including training and inference pipelines
Implement and manage
security controls , including IAM, RBAC, and secure service-to-service communication
Deploy and optimize
distributed ML systems
using frameworks such as
PyTorch and Ray
Improve system performance across
latency, throughput, and availability
for model serving platforms
Collaborate with ML engineers, DevOps, and infrastructure teams to ensure scalable and reliable ML platforms
Build automation tools and infrastructure-as-code solutions to improve operational efficiency
Monitor system health, troubleshoot production issues, and ensure high availability of services
Required Skills & Qualifications
8-10 years of experience in software engineering or cloud infrastructure roles
Strong hands-on experience with
Kubernetes (EKS) at scale
Proficiency in
Golang , or strong backend systems development experience (e.g., Java, C++, Python with system design exposure)
Deep understanding of
distributed systems and cloud infrastructure principles
Experience in designing and operating scalable backend or platform services
Strong knowledge of
cloud security concepts (IAM, RBAC, network policies)
Experience working in production-grade, high-availability environments
Nice to Have (Preferred Skills)
Exposure to
MLOps frameworks
such as
PyTorch, Ray, Kubeflow, or similar
Experience with
machine learning infrastructure or model serving systems
Familiarity with
cloud platforms (AWS/Azure/GCP)
for AI and data solutions
Appreciate your quick response and please feel free to reach me out for any query you may have.
Thanks