Sr. Cloud Network Engineer/Architect

MACHINE LEARNING TECHNOLOGIES LLC; Bellevue (WA); On-site; USD 130,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Bellevue, WA is seeking a Sr. Cloud Network Engineer/Architect to design, deploy, and manage secure multi-cloud network infrastructure with a strong DevOps focus.

The role emphasizes AWS, Azure, and Google Cloud Platform firewalls, plus workload migration and scalable VPC design. You will leverage Terraform for IaC, integrate with CI/CD pipelines, and collaborate with cross-functional teams to optimize security, performance, and reliability in a hybrid cloud

Qualifications

• Extensive experience in cloud network engineering with hands-on AWS, Azure, and Google Cloud networking and firewalls.
• Proven track record of migrating workloads behind cloud firewalls.
• Proficiency with Terraform for IaC and Git as a version-control practice.
• Strong understanding of network protocols (TCP/IP, BGP, DNS, HTTP, SSL) and security concepts.
• Experience with DevOps practices, CI/CD pipelines, and container orchestration (Docker, Kubernetes) platforms like AKS, EKS, PKS or OpenShift.
• Familiarity with monitoring tools (CloudWatch, Azure Monitor, Google Cloud Platform Operations Suite).

Responsibilities

• Architect, deploy, and manage secure cloud network infrastructures on AWS, Azure, and Google Cloud Platform.
• Configure and manage cloud-native firewalls, including AWS Network Firewall, Azure Firewall, and Google Cloud Firewall.
• Design and configuring AWS direct connect, Azure ExpressRoute and Google Cloud interconnects.
• Design and implement secure, scalable VPCs, subnets, and network security groups.
• Lead the migration of workloads and applications to operate behind cloud firewalls, ensuring connectivity and security.

Skills

AWS Networking

Azure Networking

GCP Networking

Terraform

Git

TCP/IP

BGP

DNS

HTTP/S

Docker

Kubernetes (AKS/EKS/OpenShift)

CI/CD

Monitoring (CloudWatch/Azure Monitor)

Tools

Terraform

Git

Docker

Kubernetes

OpenShift

AKS

EKS

Job description

Job Description

Job Overview

• Job ID: J53044
• Job Title: Sr. Cloud Network Engineer/Architect
• Location: Bellevue, WA
• 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

Summary

Role: Sr. Cloud Network Engineer/Architect

Location: Bellevue, WA - Hybrid

Duration: Long term contract

Job Summary

The Cloud Network Engineer with DevOps experience specializes in designing, deploying, and managing cloud-based network infrastructure with a strong focus on AWS, Azure, and Google Cloud Platform firewalls. This position requires deep expertise in multi-cloud networking, security, and workload migration to deliver secure and scalable solutions.

Key Responsibilities

• Architect, deploy, and manage secure cloud network infrastructures on AWS, Azure, and Google Cloud Platform.
• Configure and manage cloud-native firewalls, including AWS Network Firewall, Azure Firewall, and Google Cloud Firewall.
• Design and Configuring AWS direct connect, Azure Express route and Google Cloud Platform interconnects.
• Design and implement secure, scalable VPCs, subnets, and network security groups.
• Lead the migration of workloads and applications to operate behind cloud firewalls, ensuring seamless connectivity and security.

Automation and DevOps Practices

• Leverage Terraform to create, manage, and version Infrastructure as Code (IaC) for multi-cloud environments.
• Integrate IaC into CI/CD workflows to automate provisioning and scaling of cloud resources.
• Collaborate with DevOps teams to implement tools for configuration management, monitoring, and automation.

Network Security and Compliance

• Design and enforce security policies using cloud-native tools like AWS Security Hub, Azure Security Center, and Google Cloud Platform Security Command Center.
• Perform regular audits of firewall configurations to ensure adherence to security and compliance requirements.
• Troubleshoot and resolve network-related security incidents.

Performance Optimization and Collaboration

• Optimize network performance through monitoring and tuning of cloud networking components.
• Work closely with cloud architects, developers, and IT teams to align networking solutions with business objectives.
• Recommend best practices and emerging tools to enhance cloud network security and performance.

Qualifications

• Extensive experience in cloud network engineering, including hands-on expertise with AWS, Azure, and Google Cloud Platform Networks and firewalls.
• Proven track record of migrating workloads and applications behind cloud firewalls.
• Proficiency with Terraform for IaC and version control systems like Git.
• Strong understanding of network protocols (e.g., TCP/IP, BGP, DNS, HTTP, SSL) and security concepts.
• Experience with DevOps practices, CI/CD pipelines, and container orchestration (e.g., Docker, Kubernetes) platforms like AKS, EKS, PKS or OpenShift etc.
• Familiarity with monitoring tools (e.g., CloudWatch, Azure Monitor, Google Cloud Platform Operations Suite).

Preferred Skills

• Relevant certifications such as AWS Certified Advanced Networking, Azure Network Engineer Associate, or Terraform Associate.
• Experience in hybrid and multi-cloud networking.
• Scripting experience (e.g., Python, Bash) for automation.
• Knowledge of SD-WAN and software-defined networking principles.

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.