Cloud Solutions Architect / Cloud Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Rosemead (CA); On-site; USD 83,000 - 165,000; Part time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Rosemead, CA seeks a Cloud Solutions Architect / Cloud Engineer to design and implement multi-cloud strategies across Azure, AWS and GCP. The role emphasizes strong networking, Kubernetes management (GKE/AKS) and private cloud connections.

You will migrate workloads, optimize PaaS offerings, and collaborate with teams across the enterprise in a fast-paced environment.

Qualifications

• Strong knowledge of cloud infrastructure, networking, and container orchestration.
• Hands-on experience with multi-cloud platforms and advanced cloud architecture solutions.
• Familiarity with PaaS services and Kubernetes management.
• Strong troubleshooting and problem-solving skills in cloud environments.

Responsibilities

• Strong understanding of foundational cloud concepts and services.
• Proven experience in cloud migration and developing cloud strategy.
• Expertise in multi-cloud management and integrating solutions across platforms (Azure, AWS, GCP).
• Hands-on experience in establishing private connectivity with cloud vendors using services like Azure ExpressRoute, GCP Cloud Interconnect, and AWS Direct Connect.
• Deep understanding of cloud networking principles and implementation.
• Experience in managing Platform as a Service (PaaS) offerings.
• Expertise in managing and optimizing Kubernetes environments, including GKE and AKS.

Skills

Cloud architecture

Multi-cloud management

Cloud networking

Kubernetes management

Problem solving

Tools

Kubernetes GKE

Kubernetes AKS

Azure ExpressRoute

GCP Interconnect

AWS Direct Connect

Job description

Job Overview

• Job ID: J51903
• Job Title: Cloud Solutions Architect / Cloud Engineer
• Location: Rosemead, CA
• Duration: 12 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Key Responsibilities

• Strong understanding of foundational cloud concepts and services.
• Proven experience in cloud migration and developing cloud strategy.
• Expertise in multi-cloud management and integrating solutions across platforms (Azure, AWS, GCP).
• Hands-on experience in establishing private connectivity with cloud vendors using services like Azure ExpressRoute, GCP Cloud Interconnect, and AWS Direct Connect.
• Deep understanding of cloud networking principles and implementation.
• Experience in managing Platform as a Service (PaaS) offerings.
• Expertise in managing and optimizing Kubernetes environments, including GKE (Google Kubernetes Engine) and AKS (Azure Kubernetes Service).

Skills And Qualifications

• Strong knowledge of cloud infrastructure, networking, and container orchestration tools.
• Hands-on experience with multi-cloud platforms and advanced cloud architecture solutions.
• Familiarity with PaaS services and Kubernetes management.
• Strong troubleshooting and problem-solving skills in cloud environments.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract