Data Platform Infrastructure Engineer skilled in AWS/Google Cloud Platform/AliCloud

Bayside Solutions
Cupertino, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Remote
Cupertino, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Bash
Computer Programming
Data Infrastructure
Design of User Interfaces
Python
Nginx
Role-Based Access Control
Pulumi
Google Cloud Platform
Cloud Platform System
Kubernetes Helm Charts
Kubernetes
Data Management
REST
Terraform
Webhooks
Go

Job description

We seek a Data Platform Infrastructure Engineer skilled in AWS/Google Cloud Platform/AliCloud and Kubernetes to build and maintain the infrastructure powering our data platform. You'll ensure reliability, scalability, and performance of large-scale systems, developing tools and dashboards for monitoring and management. Experience with infrastructure-as-code and deploying complex services to Kubernetes is essential. You'll collaborate with engineering teams within our organization and stakeholders to build, test, and maintain robust data platforms.

Requirements

  • 8+ YOE, with 5+ years of experience working with large-scale infrastructure systems and cloud environments
  • Hands-on experience in AWS/Google Cloud Platform/AliCloud and knowledge of its ecosystem
  • Experience in scaling and operating Kubernetes
  • Excellent communication skills are a must; experience working with customers directly to explain how they would use the infrastructure to build solutions that meet their business goals.
  • Proven ability to work in an agile environment, flexible to adapt to changes
  • Programming experience in Golang, Python, and bash scripting
  • Fast learner with experience in IaC fundamentals and monitoring solutions
  • Experience with AWS, Google Cloud Platform, or AliCloud (Must require 1, in addition to AWS)
  • Experience managing Kubernetes clusters (RBAC / Security, etc)
  • Experience developing, deploying, and managing services on Kubernetes clusters via Helm charts, Kustomize, etc
  • Advanced Experience with Infrastructure as Code tooling (Terraform, Pulumi, Crossplane)
  • Experience with automation for infrastructure management
  • Experience with Kubernetes advanced features (Operators, OPA Policies, Webhooks, etc)
  • Experience with Kubernetes networking ecosystem (Cillium, ALB, NLB, Envoy, Nginx ingress, Certificate managers, etc)
  • Programming experience in Golang, experience building RESTful web services
  • Advanced experience with using AI for coding

Preferred Qualifications:

  • Experience developing Temporal workflows
  • UI development experience

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