Cloud Network Architect

MACHINE LEARNING TECHNOLOGIES LLC; Austin (TX); On-site; USD 83,000 - 124,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Austin, TX is seeking a Cloud Network Architect for a 24-month engagement. The role involves designing hybrid and multi-cloud connectivity with on-prem data centers and AWS services, ensuring security, compliance and business continuity.

You will collaborate with cloud, security, and infrastructure teams to migrate workloads, establish governance, and implement high availability and disaster recovery strategies for mission-critical workloads.

Responsibilities

• Architect and implement hybrid and multi-cloud connectivity patterns to integrate existing on-prem data center networks with AWS services.
• Design secure, high-performance network architectures that meet compliance, governance, and business continuity requirements.
• Collaborate with cloud, security, and infrastructure teams to enable seamless migrations and optimize network operations.
• Establish network governance standards and best practices to support long-term growth and evolving enterprise needs.
• Ensure routing, segmentation, and security policies are aligned with enterprise architecture principles.
• Drive high availability and disaster recovery strategies for mission-critical workloads.

Job description

Job Description

Job Overview

• Job ID: J52623
• Position: Cloud Network Architect- 529601584
• Job Title: Cloud Network Architect
• Location: Austin, TX
• Duration: 24 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

• Architect and implement hybrid and multi-cloud connectivity patterns to integrate existing on-prem data center networks with AWS services.
• Design secure, high-performance network architectures that meet compliance, governance, and business continuity requirements.
• Collaborate with cloud, security, and infrastructure teams to enable seamless migrations and optimize network operations.
• Establish network governance standards and best practices to support long-term growth and evolving enterprise needs.
• Ensure routing, segmentation, and security policies are aligned with enterprise architecture principles.
• Drive high availability and disaster recovery strategies for mission-critical workloads.

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