Bayside Solutions ยท 2 days ago
Software Engineer III
Wonder how qualified you are to the job?
Information TechnologyStaffing Agency
Insider Connection @Bayside Solutions
Responsibilities
Strong understanding of distributed systems and cloud computing principles; experience with machine learning or data processing frameworks, such as Spark and Nvidia Triton Server
Hands-on experience and strong understanding of Kubernetes environments, including scheduler Apache YuniKorn or Kueue, orchestration tooling Helm, app deployment, RBAC, and ingress
Extensive experience with major cloud providers, especially with AWS services related to computing (EKS, EC2), storage (S3), and networking (VPC, NLB, Ingress)
Proficiency in at least two programming languages (Java, Go, Python; Go Preferred)
Experience with monitoring technologies such as Splunk, Grafana, and Prometheus
Can implement automation, optimization, and cost-saving measures within the cloud infrastructure
Experience with ML model training and inference tech stacks is a plus
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Strong understanding of distributed systems and cloud computing principles; experience with machine learning or data processing frameworks, such as Spark and Nvidia Triton Server
Hands-on experience and strong understanding of Kubernetes environments, including scheduler Apache YuniKorn or Kueue, orchestration tooling Helm, app deployment, RBAC, and ingress
Extensive experience with major cloud providers, especially with AWS services related to computing (EKS, EC2), storage (S3), and networking (VPC, NLB, Ingress)
Proficiency in at least two programming languages (Java, Go, Python; Go Preferred)
Experience with monitoring technologies such as Splunk, Grafana, and Prometheus
Can implement automation, optimization, and cost-saving measures within the cloud infrastructure
Preferred
Experience with ML model training and inference tech stacks is a plus