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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

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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

Required Skills and Experience:

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.

Apply Now

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

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